Plan adjustment method for radiotherapy, radiotherapy system, and related apparatus

Abstract

The present application provides a plan adjustment method for radiotherapy, a radiotherapy system, and a related apparatus. The method comprises the following steps: S1, acquiring simulated CT information and treatment plan information of a patient, the simulated CT information comprising a simulated CT image and region division information corresponding thereto; S2, measuring, in the current session of radiotherapy corresponding to the treatment plan information, Cerenkov radiation emitted by the patient due to particle radiation exposure; S3, acquiring irradiation exposure dose information of an irradiation target region and an organ at risk in the treated region; S4, determining, according to the dose information of the target region and the organ at risk and the treatment plan, whether the treatment plan for subsequent irradiation fractions needs adjustment; and S5, if so, adjusting the treatment plan for subsequent fractions according to dose distribution of an irradiation exposure region and a therapeutic prescription corresponding to the patient. In the present application, the Cerenkov radiation emitted by the patient is detected to judge the quality of the treatment plan, which improves the accuracy of plan adjustments in radiotherapy and the safety of radiotherapy.

Description

Plan adjustment method for radiotherapy, radiotherapy system and related device

[0001] This application claims priority to Chinese Patent Application No. CN202311352360.3 filed on October 18, 2023, which is incorporated by reference in its entirety. Technical Field

[0002] The present application relates to the technical field of radiotherapy, for example, to a plan adjustment method for radiotherapy, a radiotherapy system and related devices. Background Art

[0003] In traditional radiotherapy, a radiotherapy plan is typically created based on a set of simulated positioning images of the patient, after which the target volume and organs at risk are delineated, and radiation irradiation treatment is performed. During treatment, it is often idealized that the patient's anatomy and treatment position remain unchanged relative to the radiotherapy dose delivery system. Similarly, a fixed prescription dose is often used during treatment, assuming that the tissue's biological response to the dose remains unchanged during treatment. However, over long timescales, there are many variables during the treatment process that can affect the effectiveness of radiotherapy. For this reason, adaptive radiotherapy has received significant attention. During adaptive radiotherapy, physicians can adjust the treatment plan based on factors such as organ motion within fractionated treatment, changes in the target volume between fractionated treatments, and biological effect considerations, allowing for more accurate and effective radiotherapy.

[0004] Taking proton therapy as an example, as an advanced radiotherapy technique that uses "targeted blasting" to target lesions, combined with adaptive therapy technology, it can achieve even better treatment outcomes. Quality assurance is crucial for precision proton therapy. Current planning adjustments utilize water phantom simulations, but these simulations fail to accurately reflect treatment conditions, impacting the accuracy of radiotherapy plan adjustments.

[0005] Based on this, the present application provides a plan adjustment method, a radiotherapy system and related devices for radiotherapy to improve related technologies.

[0006] Summary of the Invention

[0007] The purpose of this application is to provide a plan adjustment method, a radiotherapy system and related devices for radiotherapy. By detecting the patient's Cherenkov radiation, the exposure dose information used to indicate the exposure dose of the patient's target area and the area of ​​the organ at risk is accurately obtained. By comparing the actual measurement data obtained with the theoretical calculation data, the quality assurance result of the treatment plan is judged, thereby solving the problem of low accuracy of plan adjustment for radiotherapy under water phantom simulation.

[0008] The purpose of this application is achieved by the following technical solutions:

[0009] The present application provides a plan adjustment method for radiotherapy, the method comprising the following steps:

[0010] S1, obtaining simulated CT information and treatment plan information of the patient, wherein the simulated CT information includes a simulated CT image and corresponding region division information, wherein the region division information is used to divide the target region and the organ-at-risk region on the simulated CT image, and the treatment plan information includes planned treatment parameters for the target region and the organ-at-risk region;

[0011] S2, during the current radiotherapy treatment corresponding to the treatment plan information, measuring Cherenkov radiation emitted by the patient when the patient is exposed to particle radiation, so as to obtain in real time surface optical image information of the irradiated area of ​​the patient;

[0012] S3, obtaining radiation dose information of the target area and organs at risk in the treatment area according to the optical image information, the simulated CT information and the preset mapping relationship;

[0013] S4, judging whether the treatment plan for subsequent irradiation fractions needs to be adjusted based on the dose information of the target area and the organ at risk and the treatment plan;

[0014] S5: If yes, the treatment plan for subsequent fractions is adjusted according to the dose distribution of the irradiated area and the corresponding treatment prescription of the patient.

[0015] The beneficial effects of this technical solution include allowing for tailored treatment plans, enabling personalized radiotherapy and ensuring each patient receives the treatment best suited to their needs. Real-time optical image information allows doctors to monitor the patient's treatment progress at all times, preventing unexpected situations and providing a high degree of safety. Timely adjustments to the treatment plan minimize radiation damage to surrounding areas at risk, thereby reducing treatment side effects. Furthermore, better irradiation of the target area improves treatment efficacy, thereby increasing tumor control rates.

[0016] In summary, compared to water phantom simulation, this method can accurately obtain radiation dose information indicating the radiation dose to the patient's target area and organs at risk by detecting the patient's Cherenkov radiation (with optical measurement equipment). By comparing the actual measurement data obtained with the theoretical calculation data, the quality of the treatment plan can be objectively judged even if the patient's anatomy and treatment position change. This application clearly avoids the biological differences of water phantoms while taking into account individual differences between patients and differences between patients and water phantoms, improving the accuracy of radiotherapy plan adjustments and the safety of radiotherapy, bringing broader application prospects to tumor radiation therapy.

[0017] In some possible implementations, before the current radiotherapy treatment corresponding to the treatment plan information, the method further includes the following steps:

[0018] S6, obtaining a detection result of the patient's positioning error detection, and when the detection result indicates that the patient's positioning meets the preset positioning condition, executing step S2.

[0019] The beneficial effect of this technical solution is that the detection result of the positioning error detection indicates the difference between the actual position of the patient and the preset treatment position. The detection result will be compared with the preset positioning conditions. If the detection result shows that the patient's position is within an acceptable range, that is, it meets the preset positioning conditions, radiotherapy will continue. The purpose of positioning is to ensure that radiotherapy is accurately positioned to the patient's target area to minimize damage to the organ-at-risk area, while ensuring that the treatment has the best effect on the tumor or disease. By performing positioning error detection before the radiotherapy corresponding to the treatment plan information, it can be ensured that the patient's actual position is consistent with the planned treatment position, which helps to improve the accuracy of the treatment, ensure that the radiation is accurately irradiated to the target area, and reduce the risk of mistakenly irradiating the organ-at-risk area.

[0020] In some possible implementations, the positioning error detection includes:

[0021] Implementing image error detection on the patient according to preset positioning information and using a radiographic imaging device;

[0022] When the image error detection fails, repositioning the patient using a positioning device and re-performing the image error detection;

[0023] When the image error detection passes, it is considered that the patient's positioning meets the preset positioning conditions.

[0024] The beneficial effect of this technical solution is that image error detection can ensure that the patient's actual position is consistent with the target position in the treatment plan, which helps to improve the accuracy of treatment and ensure that radiation can accurately irradiate the diseased area while minimizing the impact on surrounding normal tissue.

[0025] In some possible implementations, before the image error detection, the positioning error detection further includes:

[0026] Implementing laser error detection on the patient using a laser device;

[0027] When the passing information corresponding to the laser error detection is received, image error detection is performed.

[0028] The beneficial effect of this technical solution is that laser error detection helps ensure that the actual position of the patient on the treatment table is consistent with the expected position, helps improve the accuracy of treatment, and ensures that the radiation dose is accurately irradiated to the target area (target area). Laser error detection can be considered a fast and non-invasive process that does not involve any components with radiation risks. Therefore, performing image error detection after confirming that the patient's position and posture are correct can ensure that the patient is in the appropriate position before receiving radiation treatment, reducing additional radiation exposure caused by image detection. If the laser error detection has confirmed that the patient's position and posture are basically correct, there is no need for intervention such as repositioning or adjusting the treatment bed before performing image error detection, which can reduce the patient's discomfort and anxiety during treatment and improve the comfort of treatment.

[0029] In summary, using laser error detection as the first step before treatment, followed by image error detection, can improve treatment safety, comfort, and efficiency while minimizing radiation exposure for patients. This phased approach helps ensure that patients are in optimal condition during radiation therapy.

[0030] In some possible implementations, detecting image errors of the patient using a radiographic imaging device based on preset positioning information includes:

[0031] Acquiring actual positioning information of the patient using a radiographic imaging device;

[0032] The actual positioning information is compared with the preset positioning information to obtain a detection result of the image error detection of the patient.

[0033] The beneficial effect of this technical solution is that, before the current radiotherapy treatment corresponding to the treatment plan information, the patient is imaged using radiographic imaging equipment. Through imaging, the patient's actual positioning information, including the patient's position and posture, can be obtained. By comparing the actual positioning information with the preset positioning information and calculating the image error through image error detection, the patient can be ensured to be in the correct position and posture during treatment, which helps to improve the accuracy of the treatment and ensure that the radiation particles are accurately irradiated to the target area (i.e., the target volume).

[0034] In some possible implementations, when the image error detection fails, repositioning the patient using a positioning device includes:

[0035] Acquire a positioning error value according to the actual positioning information and the preset positioning information;

[0036] A positioning adjustment strategy is generated according to the positioning error value, and the positioning adjustment strategy is executed by a positioning mechanism to achieve repositioning of the patient.

[0037] The beneficial effect of this technical solution is that: actual patient positioning information is obtained through radiographic imaging equipment to indicate the patient's actual position (e.g., on a treatment couch). The actual positioning information is compared with the preset positioning information to calculate a positioning error value. The positioning error value can be used to represent the deviation or difference between the patient's current position and the expected position. The positioning error value can be considered to include information such as the patient's position offset and posture deviation. A positioning adjustment strategy is generated based on the calculated positioning error value, and the positioning adjustment strategy can be used to correct the patient's position and posture to adjust them to the preset position and posture.

[0038] In summary, real-time detection and adjustment of the patient's position and posture ensures that the target area receives the correct radiation dose during treatment, minimizing errors. Accurately adjusting the patient's position and posture can reduce discomfort during treatment and enhance the patient's treatment experience.

[0039] In some possible implementations, measuring Cherenkov radiation emitted by the patient when the patient is exposed to particle radiation to obtain real-time surface optical image information of the irradiated area of ​​the patient includes:

[0040] During radiotherapy, measuring Cherenkov radiation emitted by the patient due to particle radiation by an optical measuring device to obtain real-time body surface optical information of the patient;

[0041] Acquiring an optical dose correspondence between body surface optical information and body surface dose information; the optical dose correspondence is obtained by measuring Cherenkov radiation and angular dose deposition in a non-uniform simulated human tissue phantom; obtaining body surface dose information corresponding to the real-time body surface optical information based on the optical dose correspondence and using the real-time body surface dose information as real-time body surface dose information, wherein the real-time body surface dose information is used to indicate the particle dose on the patient's surface;

[0042] Surface optical image information of the irradiated area of ​​the patient is acquired according to the real-time body surface dose information and the simulated CT image.

[0043] The beneficial effects of this technical solution are: the optical dose correspondence between body surface optical information and body surface dose information refers to the relationship between body surface optical information (indicating Cherenkov radiation intensity) and the patient's surface particle dose, determined through a series of measurements or simulation analyses. During treatment, the patient's dose distribution is monitored in real time to ensure that the particle dose is delivered as planned, thereby improving the accuracy and safety of treatment. Combining optical measurement and image processing technologies provides key information about the patient's dose distribution during radiotherapy (surface optical image information of the patient's irradiated area), helping to improve the safety and effectiveness of treatment.

[0044] In some possible implementations, the preset mapping relationship is a correspondence between the secondary electron dose and the total dose obtained by simulating the interaction between particles and the patient during treatment using a Monte Carlo method.

[0045] The beneficial effect of this technical solution is that Monte Carlo simulation is used to establish a dose mapping relationship in particle therapy. Among them, the Monte Carlo method is a numerical simulation technology based on random sampling, which is used to simulate the interaction between particles (for example, radiation, proton beams or heavy ion beams) and patient tissues during treatment. Specifically, during treatment, the interaction between particles and patients produces secondary electrons. Through Monte Carlo simulation, the propagation and deposition process of these secondary electrons in the tissue can be simulated. At the same time, Monte Carlo simulation is used to simulate the distribution of the total dose, that is, the total energy deposition caused by particles in the patient's tissue during treatment. In summary, the secondary electron dose and the corresponding total dose at each point in the patient's tissue can be obtained, and the relationship between the secondary electron dose and the total dose (that is, the preset mapping relationship) is established, which improves the accuracy of the mapping between optical measurement and actual dose.

[0046] In some possible implementations, the planned treatment parameters include a prescribed dose and a tolerated dose limit;

[0047] The determining whether the treatment plan for subsequent irradiation fractions needs to be adjusted based on the dose information of the target area and the organ at risk and the treatment plan includes:

[0048] According to the difference between the dose information of the target area and the prescribed dose of the target area required in the treatment plan, and the difference between the dose information of the organ at risk and the tolerance dose limit of the organ at risk, it is determined whether the treatment plan of subsequent irradiation fractions needs to be adjusted.

[0049] The beneficial effect of this technical solution is that by real-time monitoring of dosage information and adjusting it according to the specific conditions of individual patients, the treatment plan is closer to the actual situation and the accuracy of treatment is improved.

[0050] In some possible implementations, a method of obtaining the simulated CT information includes:

[0051] A simulated CT image of the patient is acquired by using a CT device, and simulated CT information is acquired based on an operation of delineating a target area and organs at risk of the simulated CT image.

[0052] The beneficial effect of this technical solution is that by obtaining simulated CT information, it can assist doctors in accurately locating the patient's anatomical structure and target area (target volume), which provides key information for accurate planning of radiotherapy.

[0053] In some possible implementations, the method of adjusting the treatment plan information includes:

[0054] The irradiated dose information and the doctor's prescription information corresponding to the patient are input into a plan generation model to obtain reference plan information, and the reference plan information is used to update the treatment plan information of the patient.

[0055] The beneficial effect of this technical solution is that it can utilize each patient's exposure dose information and physician prescription information to generate personalized treatment plan information, helping to ensure that the treatment plan matches the patient's treatment needs, thereby improving treatment effectiveness. If the exposure dose information indicates that the patient's dose distribution does not match the physician's prescription information, the plan generation model can automatically adjust the treatment plan to better meet the physician's requirements, helping to reduce dose errors and improve treatment accuracy. Thus, the above technical solution combines exposure dose information and physician prescription information, and utilizes the plan generation model to make plan adjustments, thereby achieving personalized and efficient radiotherapy plans, reducing the need for manual intervention, and improving the efficiency of the treatment process.

[0056] In some possible implementations, during the radiotherapy process, the method further includes:

[0057] Comparing the exposure dose information with the dose threshold of this radiotherapy;

[0058] When the exposure dose to the organ-at-risk area exceeds the corresponding dose threshold, an abnormal prompt message is generated and sent to the user device.

[0059] The beneficial effect of this technical solution is that during radiotherapy, optical image information will be acquired in real time and compared with a pre-set dose threshold to monitor whether the actual exposure dose to the organs at risk during treatment is within a reasonable range. If it is found in the comparison that the exposure dose to the area of ​​the organs at risk exceeds the set dose threshold, an abnormal prompt information can be generated. The abnormal prompt information may include detailed information on the dose excess to guide the doctor to adjust the treatment plan to reduce the risk, or to suggest that the doctor take measures to reduce the risk. This implementation method allows the patient's dose distribution to be monitored in real time during radiotherapy to pay attention to the exposure dose to the organs at risk, which helps to identify potential treatment problems in a timely manner. By comparing the actual exposure dose with the dose threshold, the dose excess can be detected early, thereby minimizing damage to the patient's organs at risk and improving the safety of treatment. Timely abnormal prompt information can prompt the doctor to take measures and adjust the treatment plan to ensure that the treatment achieves the expected quality.

[0060] In a second aspect, the present application provides an electronic device, comprising a memory and one or more processors, wherein the memory stores a computer program, and the one or more processors are configured to implement the following steps when executing the computer program:

[0061] S1, obtaining simulated CT information and treatment plan information of the patient, wherein the simulated CT information includes a simulated CT image and corresponding region division information, wherein the region division information is used to divide the target region and the organ-at-risk region on the simulated CT image, and the treatment plan information includes treatment parameters for the target region and the organ-at-risk region;

[0062] S2, during the current radiotherapy treatment corresponding to the treatment plan information, measuring Cherenkov radiation emitted by the patient as a result of particle radiation exposure to obtain real-time surface optical image information of the irradiated area of ​​the patient, wherein the optical image information is used to indicate the contribution of the secondary electron energy deposition effect to the treatment dose during the treatment irradiation process, i.e., the surface dose distribution of the irradiated area;

[0063] S3, acquiring radiation dose information of the target area and the organ at risk irradiated by the treatment area according to the optical image information and the simulated CT information, wherein the radiation dose information is used to indicate radiation doses received by the target area and the organ at risk area;

[0064] S4, judging whether the treatment plan for subsequent irradiation fractions needs to be adjusted based on the dose information of the target area and the organ at risk and the treatment plan;

[0065] S5: If yes, the treatment plan for subsequent fractions is adjusted according to the dose distribution of the irradiated area and the corresponding treatment prescription of the patient.

[0066] In a third aspect, the present application provides a radiotherapy system, comprising:

[0067] The electronic device described in this application;

[0068] a dose acquisition device for acquiring surface optical image information of the patient's irradiated area;

[0069] A radiation device is used for delivering particle radiation to a treatment area of ​​the patient.

[0070] In a fourth aspect, the present application provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by one or more processors, it implements the steps of any of the above methods or implements the functions of any of the above electronic devices.

[0071] In a fifth aspect, the present application provides a computer program product, which includes a computer program, and when the computer program is executed by one or more processors, it implements the steps of any of the above methods or implements the functions of any of the above electronic devices. BRIEF DESCRIPTION OF THE DRAWINGS

[0072] The present application is further described below with reference to the accompanying drawings and specific implementation methods.

[0073] FIG1 is a flow chart of a plan adjustment method for radiotherapy provided in an embodiment of the present application.

[0074] FIG2 is a structural block diagram of an electronic device provided in an embodiment of the present application.

[0075] FIG3 is a schematic structural diagram of a radiotherapy system provided in an embodiment of the present application.

[0076] FIG4 is a schematic diagram of the structure of a computer program product provided in an embodiment of the present application. DETAILED DESCRIPTION

[0077] The following will describe the technical solutions in the embodiments of the present application in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Those skilled in the art will appreciate that with the development of technology and the emergence of new scenarios, the technical solutions provided in the embodiments of the present application are also applicable to similar technical problems.

[0078] It should be noted that, under the premise of no conflict, the various embodiments or technical features described below can be arbitrarily combined to form new embodiments.

[0079] In this application, words such as "exemplary" or "for example" are used to indicate examples, illustrations, or descriptions. Any embodiment or design described in this application as "exemplary" or "for example" should not be construed as preferred or advantageous over other embodiments or designs. Rather, the use of words such as "exemplary" or "for example" is intended to present the relevant concepts in a concrete manner.

[0080] The first, second, etc. descriptions appearing in the embodiments of this application are only for illustration and distinction of the description objects. There is no order, nor does it indicate any special limitation on the number of devices in the embodiments of this application, and cannot constitute any limitation on the embodiments of this application.

[0081] The following is a brief description of the technical field and related terms of the embodiments of the present application.

[0082] Proton therapy is a radiotherapy technique that uses high-energy proton beams to precisely target tumors. Compared to traditional X-ray radiotherapy, proton therapy can better control the delivery of radiation doses, reduce damage to organs at risk, and improve treatment effectiveness.

[0083] The principle of proton therapy is to utilize the physical properties of protons, that is, after entering the human body, the proton beam will reach the maximum dose (Bragg peak) at a certain depth, and then decrease sharply until it stops. This characteristic enables the proton beam to release the maximum dose within the tumor, while reducing the dose deposition in the area of ​​organs at risk behind the tumor, thereby reducing the side effects caused by treatment. Proton therapy is suitable for many types of tumors, including pediatric tumors, brain tumors, head and neck tumors, chest tumors, abdominal tumors, bone and soft tissue tumors, etc. Proton therapy is particularly suitable for tumors around critical organs or those that are sensitive to radiation. Compared with traditional radiotherapy, proton therapy can better protect areas and organs at risk and reduce the side effects caused by treatment. Especially for pediatric patients, proton therapy can reduce long-term treatment sequelae and reduce the risk of secondary tumors. Some studies have shown that proton therapy can provide therapeutic effects comparable to traditional radiotherapy in some cases, while reducing adverse reactions.

[0084] Cherenkov radiation (CR) is a luminous phenomenon produced when charged particles travel through a medium at speeds exceeding the speed of light. Its essence is the polarization of atoms or molecules within the medium caused by the charged particles' passage. For example, when the human body is exposed to proton radiation, it produces visible light during the treatment process, and this light field can be detected.

[0085] Optical measurement equipment for detecting the Cherenkov radiation light field can, for example, employ photodetectors to detect Cherenkov radiation from the patient and / or the optically transparent medium. The optically transparent medium can be a gas, liquid, or solid. The thickness or volume of the human body and the optically transparent medium varies, and the corresponding Cherenkov radiation also varies accordingly. The number of photodetectors can be one or more. Multiple photodetectors can be spaced apart to form a photodetector array. Even if the patient may block the field of view of a single photodetector (for example, if the particle radiation source and the optically transparent medium are located above the patient, and the photodetector is located below the patient), the other photodetectors can still detect the Cherenkov radiation. The optically transparent medium can be positioned so that any Cherenkov radiation it generates is not blocked by the patient. For example, the optically transparent medium and photodetector can be positioned closer to the particle radiation source than the patient. The photodetector can be an optical camera, closed-circuit television, video camera, etc. In some embodiments, they are also used to photograph, record, and monitor the patient or other objects. Other objects can include, for example, human tissue phantoms, water phantoms, treatment couches, treatment equipment, etc.

[0086] The particle radiation source can be mounted on a rotatable gantry that can rotate around the patient or treatment couch. In some embodiments, a photodetector can be mounted on the gantry and can rotate with the particle radiation source. During the radiotherapy or calibration process, the particle radiation source rotates around the patient or treatment couch.

[0087] The particle dose on the human body surface refers to the particle dose deposited on the human body surface during treatment. The unit of particle dose is, for example, Gray (Gy), milligray (mGy), etc.

[0088] Quality assurance is a crucial component of proton therapy precision. This is achieved by replicating the treatment plan on a water phantom and comparing the dose distribution in the water phantom measured by an external dose measurement device with the dose distribution calculated by the treatment planning system to verify the accuracy of the planned dose delivery.

[0089] A water phantom uses water or purified water as the primary imaging medium, optionally filled with air, wire, or other auxiliary imaging media. The dose distribution within a water phantom differs from that within the human body. Simulation using a water phantom is a static method that cannot capture the actual internal conditions of the simulated patient, such as biological changes, organ movement, or actual positional changes in the target area.

[0090] Therefore, the plan adjustment method for radiotherapy based on water phantoms cannot take into account individual differences among patients and cannot accurately reflect the situation during treatment, which affects the accuracy of radiotherapy.

[0091] Based on this, this application provides a plan adjustment method, a radiotherapy system, and related devices for radiotherapy to improve related technologies. The direct purpose of the plan adjustment method of this application is not to obtain a diagnosis or health status, nor is it a treatment purpose. Instead, it simply processes the patient's treatment plan information to provide a basis for doctors to select further plans, facilitating doctors to make effective judgments for further work.

[0092] The plan adjustment method provided in this embodiment can be executed on an electronic device, which can be a computer, a server (including a cloud server), or other device with computing capabilities. The solution provided in the embodiment of this application is specifically described by the following embodiments.

[0093] Plan adjustment method embodiment.

[0094] Refer to FIG1 , which is a flow chart of a plan adjustment method for radiotherapy provided in an embodiment of the present application.

[0095] An embodiment of the present application provides a method for adjusting a plan for radiotherapy, the method comprising:

[0096] S1, obtaining simulated CT information and treatment plan information of the patient; the simulated CT information includes a simulated CT image and its corresponding region division information, the region division information is used to divide the target area and the organ at risk area on the simulated CT image, and the treatment plan information includes planned treatment parameters of the target area and the organ at risk area;

[0097] S2, during the current radiotherapy treatment corresponding to the treatment plan information, measuring Cherenkov radiation emitted by the patient when the patient is exposed to particle radiation, so as to obtain in real time surface optical image information of the irradiated area of ​​the patient;

[0098] S3, obtaining radiation dose information of the target area and organs at risk in the treatment area according to the optical image information, the simulated CT information and the preset mapping relationship;

[0099] S4, judging whether the treatment plan for subsequent irradiation fractions needs to be adjusted based on the dose information of the target area and the organ at risk and the treatment plan;

[0100] S5: If yes, the treatment plan for subsequent fractions is adjusted according to the dose distribution of the irradiated area and the corresponding treatment prescription of the patient.

[0101] The present invention does not limit the particles used for radiotherapy, and may include, for example, protons, heavy ions, electrons, X-rays, gamma rays, etc. These particles may have different energies and masses and may be used for targeted radiation targeting tumors.

[0102] In the embodiment of the present application, the particles themselves are charged particles (such as protons, etc.), or charged particles (such as secondary electrons, etc.) can be generated when the particles radiate the human body.

[0103] A simulated CT image refers to a medical imaging image used for radiotherapy planning and simulation positioning, which can be obtained through a computed tomography scan (CT scan). As an example, on a simulated CT image, a doctor or radiation therapist will perform an outlining operation to mark the target area (the target tissue or tumor that needs to be treated) and organs at risk (organs that need to be protected from excessive radiation) in the patient's body. Doctors can formulate radiotherapy plans on simulated CT images to ensure that the radiation dose is accurately delivered to the patient's target area while minimizing damage to organs at risk. Similarly, software can be used to automatically perform outlining operations on simulated CT images.

[0104] The regional division information may include labels of one or more target areas and organs at risk and their corresponding coordinate value sets. The labels are used to indicate which target area or organ at risk it is. The coordinate value set can be used to know the regional range of the corresponding target area or organ at risk.

[0105] Treatment planning parameters are key parameters used to develop radiotherapy plans. Treatment planning parameters can be personalized by doctors or computer programs based on the patient's treatment goals to ensure the accuracy and effectiveness of treatment. The following examples illustrate the parameters included in treatment planning parameters:

[0106] The dose distribution plan indicates the dose distribution of one or more radiotherapy treatments in a radiotherapy plan, including how to distribute the radiation dose to the target area and how to minimize the radiation dose to organs at risk. It may include the spatial distribution and intensity distribution of the dose distribution.

[0107] Irradiation direction and angle are used to determine the direction, angle and incident position of the radiation beam to ensure optimal dose distribution and target coverage.

[0108] Dose limits (dose thresholds) are used to determine the radiation dose limits to organs at risk to ensure that excessive damage to organs at risk is not caused.

[0109] The settings in the above treatment plan information may depend on the patient's disease type, treatment location, severity of condition, and availability of treatment equipment, and this application does not impose any restrictions on these settings. Generally speaking, doctors and radiation therapists usually develop personalized treatment plan parameters based on clinical conditions and treatment guidelines to ensure that the patient obtains the best treatment outcome. The treatment plan can be manually developed, or the patient's condition and simulated CT images with the target area and organs at risk outlined can be input into a trained model to obtain a treatment plan including treatment plan parameters.

[0110] Generally speaking, to reduce the radiation dose of each treatment and allow sufficient time for tissue recovery, treatment plan information corresponds to multiple radiotherapy sessions. This is because radiotherapy is a fractionated treatment process that typically lasts for multiple days or weeks, rather than being completed all at once. The embodiments of the present application utilize the time intervals between different treatments to timely adjust the treatment plan information based on the dose information and treatment plan for the target area and organs at risk. When it is determined that the treatment plan information needs to be adjusted, the treatment plan information is adjusted based on the irradiated dose information and the patient's corresponding doctor's prescription information to ensure the best treatment effect. At the same time, the patient's lifestyle, physical condition, and treatment response may change during the treatment process. Multiple treatments allow the doctor to adjust the treatment plan based on these changes and the adjustment suggestions provided by this embodiment to better ensure the continued effectiveness of the treatment.

[0111] Optical measurement equipment can be used to measure the Cerenkov radiation emitted by a patient exposed to particle radiation. Specifically, an optical detector is used to capture the optical signal of the Cerenkov radiation. The optical detector, which may include a silicon pixel array detector, measures the emitted photons generated by the interaction of the particle radiation with tissue. Analysis of the optical signal can determine the nature and location of the particle radiation.

[0112] Optical image information is used to indicate the dose distribution of the irradiated area within the patient's body, for example, indicating that the irradiation dose at patient location A is 62 Gray and the irradiation dose at location B is 12 Gray. Optical image information can be displayed as a dose distribution map to show the dose distribution in different areas of the patient's body.

[0113] Dose information indicates the radiation dose received by different regions (at least the target region and the OAR region) during radiotherapy. It focuses on the doses received by different regions. For example, the dose to target region A is 12 Gray, while the dose to OAR B is 2 Gray.

[0114] The radiation dose refers to the radiation dose received by the target area of ​​the patient during radiotherapy or radiation irradiation. It can be expressed in Gray (Gy), which represents the total amount of radiation exposed to the patient or a specific area, and directly affects the efficacy of treatment and the safety of the patient.

[0115] The physician's prescription information includes detailed parameters for radiation therapy, including the total amount of radiation, the amount of radiation per treatment, and the radiation site. The total amount of radiation is the total amount of radiation (at different radiation sites) a patient will receive during the entire treatment, a cumulative value that takes into account the entire treatment cycle. The radiation dose per treatment refers to the specified radiation dose (at different radiation sites) for each treatment, which may vary from treatment to treatment depending on the patient's condition, tumor type and location, and treatment progress.

[0116] Thus, first, simulated CT information and treatment plan information are obtained. The simulated CT information can be a simulated CT image generated after the patient undergoes a simulated CT scan, which is manually or automatically divided into regions by a computer to determine the location (area) of the target area and organs at risk. At the same time, the treatment plan includes planned treatment parameters, which describe how to irradiate the target area and organs at risk and the range of irradiation doses that the target area and organs at risk can accept. During the radiotherapy process corresponding to the treatment plan information, an optical measuring device can be used to measure the Cherenkov radiation emitted by the patient when the patient is exposed to particle radiation, and real-time optical image information can be obtained based on the Cherenkov radiation to display the dose distribution of the irradiation area of ​​the particle radiation in the patient's body. The irradiation dose information is then calculated by combining the optical image information and the simulated CT information, and the irradiation dose information indicates the irradiation dose received by the target area and the organ at risk area. For example, the irradiation dose of the target area is 14 Gray.

[0117] Using the received dose information and treatment plan information, it is possible to determine whether the current treatment plan still meets expectations. The actual doses received by the target area and the organ-at-risk area are compared to ensure they are still within the expected range. If the (next) treatment plan is determined to need adjustment, the treatment plan can be automatically adjusted based on the received dose information and the doctor's prescription information. This process of adjusting the treatment plan can include replanning the dose distribution for each area, adjusting the beam direction, or other treatment parameters to ensure that the patient receives more precise treatment.

[0118] The benefit of this approach is that it allows for tailored treatment plans, enabling personalized radiotherapy and ensuring each patient receives the treatment best suited to their needs. Real-time optical image information allows physicians to monitor the patient's treatment progress at all times, preventing unexpected situations and providing a high degree of safety. Timely adjustments to the treatment plan minimize radiation damage to surrounding areas at risk, thereby reducing treatment side effects. Furthermore, better irradiation of the target area can enhance treatment effectiveness and, in turn, improve tumor control rates.

[0119] In summary, compared to water phantom simulation, this method, through the detection of Cherenkov radiation from patients (using optical measurement equipment), can accurately obtain radiation dose information indicating the radiation dose to the patient's target area and organs at risk. By comparing the actual measurement data obtained with theoretical calculation data, the quality assurance results of the treatment plan can be determined. This application clearly avoids the biological differences of water phantoms, takes into account individual patient differences, improves the accuracy of radiotherapy plan adjustments and the safety of radiotherapy, and brings broader application prospects to tumor radiation therapy.

[0120] The patient's condition information and simulated CT images with the target volume and organs at risk outlined are input into a trained model to obtain a treatment plan including treatment plan parameters. This refers to automatically obtaining a treatment plan using machine learning or artificial intelligence technology. As an example, the training process of the above model includes:

[0121] Data preparation, prepare a training set, which includes the patient's medical information as a sample and simulated CT images (after delineation of the target area and organs at risk).

[0122] Model training uses machine learning or deep learning algorithms to build a training model. The training model takes in sample disease information and simulated CT images and then outputs treatment plan parameters. During training, the training model learns how to generate an effective treatment plan based on the disease and imaging data.

[0123] Model validation: After training is completed, the model is validated, for example, by inputting new patient data into the model and then checking whether the treatment plan generated by the model meets clinical standards or doctor's recommendations.

[0124] Model optimization can optimize and improve the model based on the verification results to ensure its performance and accuracy.

[0125] This automated treatment plan acquisition method can serve as a physician's auxiliary tool, helping to improve the efficiency and quality of radiotherapy. In specific applications, based on the dose information and treatment plan for the target volume and organs at risk, it is determined whether the treatment plan for subsequent irradiation fractions needs to be adjusted. If so, the treatment plan for subsequent fractions can be adaptively adjusted based on the dose distribution of the irradiated area and the patient's corresponding treatment prescription.

[0126] In one implementation, before the current radiotherapy treatment corresponding to the treatment plan information, the method further includes the following steps:

[0127] S6, obtaining a detection result of the patient's positioning error detection, and when the detection result indicates that the patient's positioning meets the preset positioning condition, executing step S2.

[0128] In medical radiation therapy, "setup" refers to the process of correctly positioning and placing the patient on the treatment equipment. This process ensures that the patient's body parts match the target areas in the treatment plan created by the doctor or computer.

[0129] Before radiation therapy begins, patients undergo a setup process to position them for treatment. Setup error detection measures the difference between the patient's actual position and the pre-set treatment position. These results are compared with pre-set setup criteria. If the test indicates the patient's position is within acceptable limits, i.e., if the pre-set setup criteria are met, radiation therapy proceeds. The goal of setup is to ensure that radiation therapy is precisely targeted to the patient's target area, minimizing damage to areas at risk and ensuring optimal treatment response to the tumor or disease.

[0130] The test results can be represented by one or more characters, such as Chinese characters, letters, numbers, and symbols. For example, "pass," "Y," "1," or "√" may be used to indicate that the patient's positioning meets the preset positioning conditions, while "fail," "N," "0," or "×" may be used to indicate that the patient's positioning does not meet the preset positioning conditions.

[0131] The advantage of doing this is that by performing positioning error detection before the radiotherapy corresponding to the treatment plan information, it can ensure that the patient's actual position is consistent with the planned treatment position, which helps to improve the accuracy of treatment, ensure that the radiation is accurately irradiated to the target area, and reduce the risk of accidental irradiation of endangered organ areas.

[0132] In one implementation, the positioning error detection includes:

[0133] Implementing image error detection on the patient according to preset positioning information and using a radiographic imaging device;

[0134] When the image error detection fails, repositioning the patient using a positioning device and re-performing the image error detection;

[0135] When the image error detection passes, it is considered that the patient's positioning meets the preset positioning conditions.

[0136] This embodiment ensures the correct positioning of the patient during radiotherapy by image error detection. As an example, the doctor will place the patient on the treatment equipment according to the preset positioning information. The patient is then imaged using a radiographic imaging device (such as an X-ray machine or other imaging device). The above imaging process is intended to capture the patient's actual position and posture. The actual imaging obtained is compared with the preset information (the imaging that should correspond to the preset positioning information). If the image error detection shows that the actual imaging is inconsistent with the preset information, that is, the actual position of the patient is not as expected, it means that measures may need to be taken to correct the positioning. Correction methods may include using positioning equipment such as a treatment table to readjust the patient's position so that it meets the preset positioning conditions.

[0137] If the result of the image error detection shows that the actual imaging is consistent with the preset information, it can be confirmed that the patient's positioning meets the preset conditions, the patient's actual position matches the target position in the treatment plan, and the treatment can continue.

[0138] The advantage of this is that image error detection can ensure that the patient's actual position is consistent with the target position in the treatment plan, which helps to improve the accuracy of treatment and ensure that radiation can accurately irradiate the lesion area while minimizing the impact on surrounding normal tissues.

[0139] In one implementation, before the image error detection, the positioning error detection further includes:

[0140] Implementing laser error detection on the patient using a laser device;

[0141] When the passing information corresponding to the laser error detection is received, image error detection is performed.

[0142] This information can take the form of a digital signal, indicator light, or a specific display on a computer screen to alert the doctor that the patient's positioning has met the required standards and that subsequent steps, such as image error detection, can be continued. These steps help ensure the patient's position during treatment is accurate, thereby improving treatment precision and safety.

[0143] The technical solution provided in this embodiment uses a laser device to irradiate the patient's body before image error detection. Generally speaking, laser lines are parallel, and laser error detection is a process of using a laser system to detect the difference between the patient's position or posture and the ideal position or posture. A laser beam is emitted by a laser device, and the laser beam forms one or more light spots on the patient's body. The position of the light spots is then detected to determine whether the patient's position or posture is correct. Error information refers to the difference between the patient's actual position or posture and the expected position or posture. The error information may include coordinates and numerical values ​​to inform the location and size of the difference. For example, if it is detected that the light spot is located on the patient's head and slightly deviates from the expected position, the difference between the actual position and the expected position can be recorded, and the difference can be recorded through error information to inform the doctor that the patient's head position or posture needs to be fine-tuned.

[0144] If the laser error check indicates that the patient's actual position is consistent with the preset position (i.e., a pass), the image error check step is performed to further confirm that the patient's positioning meets the requirements. If the laser error check indicates a deviation, the patient's positioning needs to be adjusted and the laser and image error checks are repeated until the patient passes.

[0145] The benefit of this is that laser error detection helps ensure that the patient's actual position on the treatment table is consistent with the intended position, helping to improve the accuracy of treatment and ensure that the radiation dose is accurately irradiated to the target area (target area). Laser error detection can be considered a rapid and non-invasive process that does not involve any radiation risk. Therefore, performing image error detection after confirming that the patient's position and posture are correct can ensure that the patient is in the appropriate position before receiving radiation treatment, reducing the additional radiation exposure caused by image detection. If the laser error detection has confirmed that the patient's position and posture are basically correct, there is no need for intervention such as repositioning or adjusting the treatment table before performing image error detection, which can reduce the patient's discomfort and anxiety during treatment and improve the comfort of treatment.

[0146] In summary, using laser error detection as the first step before treatment, followed by image error detection, can improve treatment safety, comfort, and efficiency while minimizing radiation exposure for patients. This phased approach helps ensure that patients are in optimal condition during radiation therapy.

[0147] In one implementation, the detecting of image errors of the patient using a radiographic imaging device based on preset positioning information includes:

[0148] Acquiring actual positioning information of the patient using a radiographic imaging device;

[0149] The actual positioning information is compared with the preset positioning information to obtain a detection result of the image error detection of the patient.

[0150] The technical solution provided in this embodiment uses a radiographic imaging device to image the patient before the current radiotherapy treatment corresponding to the treatment plan information. This imaging can obtain the patient's actual positioning information, including the patient's position and posture. The radiographic imaging device may, for example, be an X-ray machine or a computed tomography (CT) scanner.

[0151] The preset positioning information is usually determined in advance based on the treatment plan. The preset positioning information indicates the ideal position and posture that the patient should be in. In this embodiment, the actual positioning information can be compared with the preset positioning information. By comparing the actual positioning and the preset positioning information, an image error can be calculated to represent the difference between the patient's actual position and posture and the expected position and posture in the treatment plan. Based on the calculated image error, the result of the image error detection is determined. If the image error is within a certain tolerance range, it can be considered that the patient's positioning meets the preset positioning conditions and treatment can continue. If the image error exceeds the tolerance range, measures may need to be taken to adjust the patient's position and posture to ensure the accuracy of the treatment. The tolerance range refers to the range or limit of the allowable error or change, which can be expressed as a percentage or a numerical value.

[0152] The advantage of doing this is that by comparing the actual positioning with the preset positioning information and calculating the image error, it can ensure that the patient is in the correct position and posture during treatment, which helps to improve the accuracy of the treatment and ensure that the radiation particles are accurately irradiated to the target area (target area).

[0153] In one implementation, when the image error detection fails, repositioning the patient using a positioning device includes:

[0154] Acquire a positioning error value according to the actual positioning information and the preset positioning information;

[0155] A positioning adjustment strategy is generated according to the positioning error value, and the positioning adjustment strategy is executed by a positioning mechanism to achieve repositioning of the patient.

[0156] Positioning equipment includes, for example, treatment couches and robotic positioning systems. Treatment couches typically have multiple degrees of freedom, enabling control of the patient's position, rotation, and tilt. This means the couch can automatically or semi-automatically adjust according to positioning strategies to ensure the patient is in the correct position and posture. Robotic positioning systems can include multiple robotic arms and manipulators to precisely control the patient's position and posture based on these strategies.

[0157] As an example, an image guidance system includes radiographic imaging equipment and laser equipment to monitor the patient's position. A robotic positioning system or treatment couch is integrated with the image guidance system to monitor and adjust the patient's position in real time.

[0158] The technical solution provided in this embodiment obtains the actual positioning information of the patient through a radiographic imaging device to indicate the actual position of the patient (on the treatment bed). The preset positioning information obtained at the same time is the expected position of the patient determined in advance, which can be formulated by the doctor according to the treatment plan. The actual positioning information is compared with the preset positioning information to calculate the positioning error value, which can be used to represent the deviation or difference between the patient's current position and the expected position. It can be considered that the positioning error value may include information such as the patient's position offset and posture deviation. A positioning adjustment strategy is generated based on the calculated positioning error value. The positioning adjustment strategy can be used to correct the patient's position and posture to adjust it to the preset position and posture. Taking the treatment bed as an example, the positioning adjustment strategy may include actions or operations such as lifting, rotating, and tilting the bed.

[0159] The benefit of this is that by detecting and adjusting the patient's position and posture in real time, the target area receives the correct radiation dose during treatment, minimizing errors. Accurately adjusting the patient's position and posture can reduce discomfort during treatment and improve the patient's treatment experience.

[0160] In one implementation, measuring the Cherenkov radiation emitted by the patient when the patient is exposed to particle radiation to obtain real-time surface optical image information of the irradiated area of ​​the patient includes:

[0161] During radiotherapy, measuring Cherenkov radiation emitted by the patient due to particle radiation by an optical measuring device to obtain real-time body surface optical information of the patient;

[0162] Obtaining an optical dose correspondence between body surface optical information and body surface dose information; the optical dose correspondence is obtained by using a non-uniform simulated human tissue phantom and measuring Cherenkov radiation and angular dose deposition in the phantom;

[0163] According to the optical dose correspondence, obtaining body surface dose information corresponding to the real-time body surface optical information and using the real-time body surface dose information as the real-time body surface dose information, wherein the real-time body surface dose information is used to indicate the particle dose on the patient's surface;

[0164] Surface optical image information of the irradiated area of ​​the patient is acquired according to the real-time body surface dose information and the simulated CT image.

[0165] The optical dose correspondence between body surface optical information and body surface dose information can refer to the relationship between body surface optical information indicating Cerenkov radiation intensity and particle dose on the patient's surface, determined through a series of measurements or simulation analyses. This correspondence can be represented, for example, by a model, function, table, matrix, formula, etc., and this application is not limited thereto. In specific applications, the optical dose correspondence is obtained by measuring Cerenkov radiation and angular dose deposition in a non-uniform simulated human tissue phantom using the phantom.

[0166] As an example, an optical measurement device is used to measure Cherenkov radiation induced by particle radiation on the patient's surface. The optical measurement device may include photodetectors, photomultiplier tubes, optical fibers, and the like. Based on an established optical dose correspondence, the output of the optical measurement device can be used to infer the patient's real-time surface dose information. This real-time surface dose information reflects the particle dose received by the patient's surface. By combining this real-time surface dose information with the patient's simulated CT images, surface optical image information of the patient's irradiated area can be calculated.

[0167] The benefit of this is that the patient's dose distribution can be monitored in real time during treatment to ensure that the particle dose is delivered as planned, thereby improving the accuracy and safety of the treatment; combining optical measurement and image processing technology to provide key information about the patient's dose distribution in radiotherapy (surface optical image information of the patient's irradiated area), which helps to improve the safety and effectiveness of treatment.

[0168] Among them, the optical dose correspondence is obtained by using a non-uniform simulated human tissue phantom, measuring the Cherenkov radiation and the angular dose deposition in the phantom. Specifically, a non-uniform simulated human tissue phantom can be used, combined with the measurement of Cherenkov radiation and the angular dose deposition in the phantom to simulate the actual human body situation, which helps to establish a more realistic and accurate optical dose correspondence. This is because the characteristics of human tissue, including parameters such as tissue density, vary between different individuals. By using a non-uniform simulated human tissue phantom, individual differences can be better considered, making the established correspondence more universal. Angular dose deposition refers to: when radiation particles propagate in matter, they interact with the atoms in the matter and cause dose deposition at different angles. By using the information of angular dose deposition, the propagation and deposition of particle radiation in tissues can be more comprehensively considered.

[0169] In summary, the established optical dose correspondence can be made more accurate, so that optical information can be better mapped to body surface dose information in practical applications.

[0170] In one implementation, the preset mapping relationship is a correspondence between the secondary electron dose and the total dose obtained by simulating the interaction between particles and the patient during treatment using a Monte Carlo method.

[0171] The advantage of doing this is that the dose mapping relationship in particle therapy is established using Monte Carlo simulation. Among them, the Monte Carlo method is a numerical simulation technology based on random sampling, which is used to simulate the interaction between particles (for example, radiation, proton beams or heavy ion beams) and patient tissues during treatment. Specifically, during treatment, the interaction between particles and patients produces secondary electrons. Through Monte Carlo simulation, the propagation and deposition process of these secondary electrons in the tissue can be simulated. At the same time, Monte Carlo is used to simulate the distribution of the total dose, that is, the total energy deposition caused by particles in the patient's tissue during treatment. In summary, the secondary electron dose and the corresponding total dose at each point in the patient's tissue can be obtained, and the relationship between the secondary electron dose and the total dose (that is, the preset mapping relationship) is established, which improves the accuracy of the mapping between optical measurement and actual dose.

[0172] In one implementation, the planned treatment parameters include a prescribed dose and a tolerated dose limit;

[0173] The determining whether the treatment plan for subsequent irradiation fractions needs to be adjusted based on the dose information of the target area and the organ at risk and the treatment plan includes:

[0174] According to the difference between the dose information of the target area and the prescribed dose of the target area required in the treatment plan, and the difference between the dose information of the organ at risk and the tolerance dose limit of the organ at risk, it is determined whether the treatment plan of subsequent irradiation fractions needs to be adjusted.

[0175] The benefit of this is that by monitoring dosage information in real time and adjusting it according to the specific conditions of individual patients, the treatment plan can be closer to the actual situation and the accuracy of treatment can be improved.

[0176] Among them, according to the difference between the dose information of the target area and the prescribed dose of the target area required in the treatment plan, and the difference between the dose information of the organ at risk and the tolerance dose limit of the organ at risk, it can mean that when the dose information of the target area is the same as the prescribed dose of the target area required in the treatment plan, and the dose information of the organ at risk is the same as the tolerance dose limit of the organ at risk (in this case, the difference is the smallest), the treatment plan for subsequent irradiation fractions does not need to be adjusted; otherwise, adjustment is required. In specific applications, a difference threshold between the dose information and the tolerance dose limit of the organ at risk can also be set based on the doctor's experience, or a difference threshold between the dose information of the organ at risk and the tolerance dose limit of the organ at risk can be set based on the doctor's experience to determine whether the treatment plan for subsequent irradiation fractions needs to be adjusted.

[0177] In one implementation, a method of obtaining the simulated CT information includes:

[0178] A simulated CT image of the patient is acquired by using a CT device, and simulated CT information is acquired based on an operation of delineating a target area and organs at risk of the simulated CT image.

[0179] The technical solution provided in this embodiment is used to obtain simulated CT information of a patient. The process may include the patient undergoing a CT scan before radiotherapy to generate a simulated CT image of the patient. The simulated CT image can be considered to capture the patient's internal anatomical structure, including the target volume, surrounding tissues, and organs at risk. Computer software can be used to analyze and process the simulated CT image to automatically obtain regional delineation information for the target volume and organs at risk, and the simulated CT image and its corresponding regional delineation information can be used as the simulated CT information.

[0180] Therefore, by obtaining simulated CT information, doctors can be assisted in accurately locating the patient's anatomical structure and target area (target volume), which provides key information for precise planning of radiotherapy.

[0181] In one implementation, the method of adjusting the treatment plan information includes:

[0182] The irradiated dose information and the doctor's prescription information corresponding to the patient are input into a plan generation model to obtain reference plan information, and the reference plan information is used to update the treatment plan information of the patient.

[0183] The plan generation model can be considered to be trained to generate a new treatment plan based on the received dose information and the doctor's prescription information. The plan generation model can be a machine learning model, an artificial intelligence model, or other algorithm that analyzes the existing received dose information and the doctor's prescription information and then generates a new treatment plan in which the dose distribution is adjusted to better meet the doctor's prescription information.

[0184] The benefit of this approach is that, using each patient's exposure dose information and physician prescription information, personalized treatment plan information can be generated, helping to ensure that the treatment plan matches the patient's treatment needs, thereby improving treatment effectiveness. If the exposure dose information indicates that the patient's dose distribution does not match the physician's prescription information, the plan generation model can automatically adjust the treatment plan to better meet the physician's requirements, helping to reduce dose errors and improve treatment accuracy. Thus, the above technical solution combines exposure dose information and physician prescription information, using the plan generation model to make plan adjustments, thereby achieving personalized and efficient radiotherapy plans, reducing the need for manual intervention, and improving the efficiency of the treatment process.

[0185] As an example, the plan generation model is obtained by training a deep learning model. The training process of the plan generation model may include the following steps:

[0186] Data collection involves collecting a certain amount of training data. This training data consists of multiple treatment plans and the corresponding particle doses on the surface of a human tissue phantom, as well as optical images of the phantom's interior. This training data is used to train the model, enabling it to learn the relationship between different treatment plans and dose distributions.

[0187] Data preparation involves preprocessing the collected training data to ensure that its format and structure are suitable for model training. This preprocessing process can include standardizing and normalizing the data, and dividing the data into training, validation, and test sets.

[0188] Implement training, input the training data into the selected deep model, and adjust the parameters of the deep model through the backpropagation algorithm. The training process includes a certain number of iterations until the preset training end conditions are met.

[0189] Validation and evaluation: Using the validation set to monitor the performance of the trained plan generation model helps detect whether the model has problems such as overfitting or underfitting. At the same time, the test set is used to evaluate the performance of the model to ensure its generalization ability on new data.

[0190] Deployment and application: Apply the trained plan generation model to the radiotherapy mentioned in this application to generate a personalized treatment plan based on the patient's specific situation.

[0191] Therefore, by designing, establishing an appropriate number of neuron computing nodes and a multi-layer operation hierarchy, and selecting appropriate input and output layers, a preset deep learning model can be obtained. Through the learning and tuning of the deep learning model, a functional relationship from input to output is established. Although the functional relationship between input and output cannot be found 100%, the actual correlation relationship can be approached as much as possible. The plan generation model obtained by training can obtain corresponding reference plan information based on the exposure dose information and the corresponding doctor's prescription information. It has a wide range of applications, and the calculation results are highly accurate and reliable.

[0192] The irradiated dose information and the corresponding doctor's prescription information are used as input, and the input data is processed and analyzed using a dose distribution model based on deep learning. After training, the dose distribution model can predict and generate new reference plan information. The advantage of this is that the dose distribution model based on deep learning can quickly and accurately obtain reference plan information for updating treatment plan information through input information, which improves the efficiency and accuracy of data processing; through the training and optimization of the deep learning model, the accuracy of the dose distribution model can be improved. For example, the model parameters of the dose distribution model can be adjusted according to the personalized information of each patient to obtain a dose distribution model suitable for each patient, which helps to more accurately predict and generate reference plan information.

[0193] In some optional implementations, the embodiments of the present application can train a plan generation model, and in other optional implementations, the present application can use a pre-trained plan generation model.

[0194] In one implementation, during the radiotherapy, the method further includes:

[0195] Comparing the exposure dose information with the dose threshold of this radiotherapy;

[0196] When the exposure dose to the organ-at-risk area exceeds the corresponding dose threshold, an abnormal prompt message is generated and sent to the user device.

[0197] This embodiment does not limit the value of the dose threshold, which can be, for example, 60 Gray, 50 Gray, 40 Gray, 34 Gray, 33 Gray, 20 Gray, 16 Gray, 12 Gray, or 4 Gray.

[0198] The technical solution provided in this embodiment captures optical image information in real time during radiotherapy and compares it with a pre-set dose threshold to monitor whether the actual dose to organs at risk during treatment is within a reasonable range. If the comparison reveals that the dose to the organ at risk area exceeds the set dose threshold, an abnormality warning message can be generated. This abnormality warning message can include detailed information about the dose excess to guide physicians in adjusting treatment plans to reduce risk or recommending measures to reduce risk.

[0199] The generated abnormality alert information can be sent to the doctor's user device, such as a computer, mobile phone, or tablet. The doctor can take necessary measures to adjust the treatment plan based on the abnormality alert information to ensure the patient's safety and treatment effect.

[0200] This approach allows for real-time monitoring of the patient's dose distribution during radiotherapy, focusing on the dose to organs at risk and helping to promptly identify potential treatment issues. By comparing the actual dose received with the dose threshold, dose excesses can be detected early, minimizing damage to the patient's organs at risk and improving treatment safety. Timely abnormality alerts can prompt physicians to take action and adjust treatment plans to ensure treatment meets expected quality standards and improve treatment effectiveness.

[0201] In a specific application scenario, an embodiment of the present application further provides a plan adjustment method for radiotherapy, the method comprising:

[0202] Acquiring simulated CT information and treatment plan information of the patient, the simulated CT information including a simulated CT image and corresponding region division information thereof, the region division information being used to divide a target region and an organ-at-risk region on the simulated CT image, and the treatment plan information including planned treatment parameters for the target region and the organ-at-risk region;

[0203] obtaining a detection result of a setup error detection on the patient, and performing radiotherapy corresponding to the treatment plan when the detection result indicates that the patient's setup meets a preset setup condition;

[0204] During the radiotherapy, the exposure dose information is compared with the dose threshold of the current radiotherapy; when the exposure dose of the organ at risk area exceeds the corresponding dose threshold, an abnormal prompt message is generated and sent to the user device;

[0205] During the radiotherapy process, Cerenkov radiation emitted by the patient due to particle radiation is measured by an optical measuring device to obtain real-time body surface optical information of the patient; an optical dose correspondence between the body surface optical information and the body surface dose information is obtained; the optical dose correspondence is obtained by using a non-uniform simulated human tissue phantom and measuring the Cerenkov radiation and the angular dose deposition in the phantom; based on the optical dose correspondence, the body surface dose information corresponding to the real-time body surface optical information is obtained as the real-time body surface dose information, and the real-time body surface dose information is used to indicate the particle dose on the surface of the patient; based on the real-time body surface dose information and the simulated CT image, surface optical image information of the irradiated area of ​​the patient is obtained, and the optical image information is used to indicate the contribution of the secondary electron energy deposition effect to the treatment dose during the treatment irradiation, that is, the body surface dose distribution of the irradiated area;

[0206] Acquiring, based on the optical image information and the simulated CT information, information on the radiation dose received by the treatment area to the target area and organs at risk, wherein the radiation dose information is used to indicate the radiation dose received by the target area and organs at risk;

[0207] Determining whether the treatment plan for subsequent irradiation fractions needs to be adjusted based on the dose information and treatment plan of the target area and organs at risk;

[0208] If so, the treatment plan for subsequent fractions is adjusted based on the dose distribution of the irradiated area and the patient's corresponding treatment prescription.

[0209] If not, complete this radiation therapy.

[0210] Positioning error detection includes:

[0211] Implementing laser error detection on the patient using a laser device;

[0212] When passing information corresponding to the laser error detection is received, actual positioning information of the patient is acquired using a radiographic imaging device;

[0213] Comparing the actual positioning information with the preset positioning information to obtain a detection result of the image error detection of the patient;

[0214] When a detection result of the image error detection indicates a failure, obtaining a positioning error value according to the actual positioning information and the preset positioning information;

[0215] generating a positioning adjustment strategy according to the positioning error value, executing the positioning adjustment strategy using a positioning mechanism to achieve repositioning of the patient, and re-performing image error detection;

[0216] When the image error detection passes, it is considered that the patient's positioning meets the preset positioning conditions.

[0217] Methods for obtaining the simulated CT information include:

[0218] A simulated CT image of the patient is acquired by using a CT device, and simulated CT information is acquired based on an operation of delineating a target area and organs at risk of the simulated CT image.

[0219] Methods for adjusting the treatment plan information include:

[0220] The irradiated dose information and the doctor's prescription information corresponding to the patient are input into a plan generation model to obtain reference plan information, and the reference plan information is used to update the treatment plan information of the patient.

[0221] It should be noted that, under the premise of being feasible, the order of the steps in the above embodiments can be adjusted, and this application does not limit this.

[0222] Electronic device embodiments.

[0223] The embodiment of the present application also provides an electronic device, the specific embodiment of which is consistent with the embodiment described in the above method embodiment and the technical effects achieved, and some contents will not be repeated here.

[0224] The electronic device includes a memory and one or more processors, the memory storing a computer program, and the one or more processors being configured to implement the following steps when executing the computer program:

[0225] S1, obtaining simulated CT information and treatment plan information of the patient, wherein the simulated CT information includes a simulated CT image and corresponding region division information, wherein the region division information is used to divide the target region and the organ-at-risk region on the simulated CT image, and the treatment plan information includes planned treatment parameters for the target region and the organ-at-risk region;

[0226] S2, during the current radiotherapy treatment corresponding to the treatment plan information, measuring Cherenkov radiation emitted by the patient when the patient is exposed to particle radiation, so as to obtain in real time surface optical image information of the irradiated area of ​​the patient;

[0227] S3, obtaining radiation dose information of the target area and organs at risk in the treatment area according to the optical image information, the simulated CT information and the preset mapping relationship;

[0228] S4, judging whether the treatment plan for subsequent irradiation fractions needs to be adjusted based on the dose information of the target area and the organ at risk and the treatment plan;

[0229] S5, if yes, then adjust the treatment plan for subsequent fractions based on the dose distribution of the irradiated area and the patient's corresponding treatment prescription. In some embodiments, before the current radiotherapy corresponding to the treatment plan information, the one or more processors are configured to further implement the following steps when executing the computer program:

[0230] S6, obtaining a detection result of the patient's positioning error detection, and when the detection result indicates that the patient's positioning meets the preset positioning condition, executing step S2.

[0231] In one implementation, the positioning error detection includes:

[0232] Implementing image error detection on the patient according to preset positioning information and using a radiographic imaging device;

[0233] When the image error detection fails, repositioning the patient using a positioning device and re-performing the image error detection;

[0234] When the image error detection passes, it is considered that the patient's positioning meets the preset positioning conditions.

[0235] In one implementation, before the image error detection, the positioning error detection further includes:

[0236] Implementing laser error detection on the patient using a laser device;

[0237] When the passing information corresponding to the laser error detection is received, image error detection is performed.

[0238] In one implementation, the one or more processors are configured to, when executing the computer program, implement image error detection on the patient based on preset positioning information and using a radiographic imaging device in the following manner:

[0239] Acquiring actual positioning information of the patient using a radiographic imaging device;

[0240] The actual positioning information is compared with the preset positioning information to obtain a detection result of the image error detection of the patient.

[0241] In one implementation, when the image error detection fails, the one or more processors are configured to, when executing the computer program, use a positioning device to reposition the patient in the following manner:

[0242] Acquire a positioning error value according to the actual positioning information and the preset positioning information;

[0243] A positioning adjustment strategy is generated according to the positioning error value, and the positioning adjustment strategy is executed by a positioning mechanism to achieve repositioning of the patient.

[0244] In one implementation, the one or more processors are configured to acquire surface optical image information of the irradiated area of ​​the patient in real time in the following manner when executing the computer program:

[0245] During radiotherapy, measuring Cherenkov radiation emitted by the patient due to particle radiation by an optical measuring device to obtain real-time body surface optical information of the patient;

[0246] Obtaining an optical dose correspondence between body surface optical information and body surface dose information; the optical dose correspondence is obtained by using a non-uniform simulated human tissue phantom and measuring Cherenkov radiation and angular dose deposition in the phantom;

[0247] According to the optical dose correspondence, obtaining body surface dose information corresponding to the real-time body surface optical information and using the real-time body surface dose information as the real-time body surface dose information, wherein the real-time body surface dose information is used to indicate the particle dose on the patient's surface;

[0248] Surface optical image information of the irradiated area of ​​the patient is acquired according to the real-time body surface dose information and the simulated CT image.

[0249] In one implementation, a method of obtaining the simulated CT information includes:

[0250] A simulated CT image of the patient is acquired by using a CT device, and simulated CT information is acquired based on an operation of delineating a target area and organs at risk of the simulated CT image.

[0251] In one implementation, the method of adjusting the treatment plan information includes:

[0252] The irradiated dose information and the doctor's prescription information corresponding to the patient are input into a plan generation model to obtain reference plan information, and the reference plan information is used to update the treatment plan information of the patient.

[0253] In one implementation, during the radiation therapy, the one or more processors are configured to further implement the following steps when executing the computer program:

[0254] Comparing the exposure dose information with the dose threshold of this radiotherapy;

[0255] When the exposure dose to the organ-at-risk area exceeds the corresponding dose threshold, an abnormal prompt message is generated and sent to the user device.

[0256] Refer to Figure 2, which is a structural block diagram of an electronic device provided in an embodiment of the present application.

[0257] The electronic device 10 may include, for example, one or more memories 11 , one or more processors 12 , and a bus 13 connecting different platform systems.

[0258] The memory 11 may include (computer) readable media in the form of volatile memory, such as random access memory (RAM) 111 and / or cache memory 112, and may further include read-only memory (ROM) 113. The memory 11 also stores a computer program, which can be executed by the processor 12, causing the processor 12 to implement the steps of any of the above methods. The memory 11 may also include a utility 114 having at least one program module 115. Such program modules 115 include, but are not limited to, an operating system, one or more application programs, other program modules, and program data. Each of these examples, or some combination thereof, may include an implementation of a network environment.

[0259] Accordingly, the processor 12 may execute the aforementioned computer program and the utility 114. The processor 12 may be implemented as one or more application specific integrated circuits (ASICs), DSPs, programmable logic devices (PLDs), complex programmable logic devices (CPLDs), field programmable gate arrays (FPGAs), or other electronic components.

[0260] The bus 13 may represent one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor, or a local bus using any of a variety of bus architectures.

[0261] The electronic device 10 may also communicate with one or more external devices, such as a keyboard, a pointing device, a Bluetooth device, or the like, as well as one or more devices capable of interacting with the electronic device 10, and / or any device that enables the electronic device 10 to communicate with one or more other computing devices (e.g., a router, a modem, etc.). Such communication may be performed via an input / output interface 14. Furthermore, the electronic device 10 may also communicate with one or more networks (e.g., a local area network (LAN), a wide area network (WAN), and / or a public network, such as the Internet) via a network adapter 15. The network adapter 15 may communicate with other modules of the electronic device 10 via the bus 13. It should be understood that, although not shown in the figures, other hardware and / or software modules may be used in conjunction with the electronic device 10 in actual applications, including but not limited to microcode, device drivers, redundant processors, external disk drive arrays, RAID systems, tape drives, and data backup storage platforms.

[0262] Radiation therapy system embodiments.

[0263] Refer to FIG3 , which is a schematic structural diagram of a radiotherapy system provided in an embodiment of the present application.

[0264] The present invention also provides a radiotherapy system, comprising:

[0265] The electronic device according to the device embodiment;

[0266] a dose acquisition device for acquiring surface optical image information of the patient's irradiated area;

[0267] A radiation device is used for delivering particle radiation to a treatment area of ​​the patient.

[0268] Therefore, in a radiotherapy system, electronic equipment uses any of the above radiotherapy plan adjustment methods to evaluate the treatment plan and determine whether the treatment plan for subsequent irradiation fractions needs to be adjusted. The plan adjustment method can involve steps such as dose measurement, optical measurement, and simulation calculations to ensure the quality and accuracy of the adjusted treatment plan.

[0269] The dose acquisition device is used to obtain optical image information of the surface of the patient's irradiated area, so that the electronic device can obtain the irradiation dose information of the target area and organs at risk in the treatment area based on the optical image information and the simulated CT information. The radiation device is used to irradiate the patient's treatment area with particles according to the treatment plan information adjusted by the electronic device.

[0270] Thus, the electronic device evaluates the treatment plan by implementing a plan adjustment method, a process which may include steps such as dose measurement, optical measurement, and simulation calculation, with the goal of ensuring the quality and accuracy of the treatment plan. The dose acquisition device is used to obtain surface optical image information of the patient's irradiated area and to measure or record the distribution of particle radiation received by the patient during treatment. The optical image information obtained by the dose acquisition device is combined with simulated CT information to more accurately understand the dose distribution of the irradiated area of ​​the patient's target area and the area of ​​the organ at risk. The radiation equipment can perform particle irradiation on the patient's treatment area based on the treatment plan information adjusted by the electronic device, ensuring that the particle irradiation is carried out in accordance with the latest evaluated and adjusted treatment plan.

[0271] The benefit of this approach is that by acquiring optical image information of the patient during treatment, the quality and accuracy of the treatment plan can be monitored and evaluated in real time, helping to improve treatment accuracy and ensure that the patient receives the correct radiation dose. Real-time monitoring and adjustment can more effectively respond to patient physiological changes and uncertainties during treatment, thereby improving the overall effectiveness of treatment. Timely treatment plan adjustments help reduce potential risks to the patient and ensure that the next treatment is safe and does not cause excessive impact on normal tissue.

[0272] In one implementation, the radiotherapy system further includes one or more of the following devices:

[0273] The optical measurement device is used to measure the Cerenkov radiation emitted by the patient when exposed to particle radiation to obtain the patient's optical measurement information; and measure the Cerenkov radiation emitted by the patient when exposed to the particle radiation to obtain the patient's real-time body surface optical information.

[0274] In one implementation, the optical measurement device includes one or more photodetectors. When multiple photodetectors are used, a photodetector array can be formed. When the field of view of some photodetectors is blocked, other photodetectors can still detect Cherenkov radiation. Because Cherenkov radiation is generated over a very short time period, it can be considered to be generated immediately after the particle radiation source irradiates the patient. Therefore, the detection window of the photodetector can be matched with the emission window of the particle radiation source, that is, the two can at least partially overlap to enable detection of Cherenkov radiation. As an example, a control module can be used to turn the detection function of the photodetector on and off, and the photodetector can be operated with a series of off periods that are the same as the series of off periods of the particle radiation source. For example, an electronic gating signal can be provided to the photodetector, causing its detection pulses to turn on and off to form a series of detection windows. In addition, a shutter can be used to control the on and off of the detection function of the photodetector. The shutter moves to prevent light from reaching the photodetector between detection windows and to allow light, including Cherenkov radiation, to reach the photodetector during the detection windows. The shutter switching effect can be achieved through electronic, mechanical, optical, or software implementation. In practical applications, the detection window of the light detector may be controlled by a control module and / or a shutter.

[0275] Computer readable storage medium embodiments.

[0276] The embodiment of the present application also provides a computer-readable storage medium, the specific embodiment of which is consistent with the embodiment described in the above method embodiment and the technical effects achieved, and some contents will not be repeated here.

[0277] The computer-readable storage medium stores a computer program, and when the computer program is executed by one or more processors, the computer program implements the steps of any of the above methods or implements the functions of any of the above electronic devices.

[0278] Computer readable medium can be a computer readable signal medium or a computer readable storage medium. In an embodiment of the present application, a computer readable storage medium can be any tangible medium containing or storing a program, which can be used by an instruction execution system, device or device or used in combination with it. Computer readable storage medium can be, for example, but not limited to, a system, device or device of electricity, magnetism, light, electromagnetic, infrared, or semiconductor, or any combination thereof. More specific examples (non-exhaustive list) of computer readable storage medium include: an electrical connection with one or more wires, a portable disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof.

[0279] A computer-readable storage medium may include a data signal propagated in baseband or as part of a carrier wave, carrying readable program code. This propagated data signal may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. A computer-readable storage medium may also be any computer-readable medium that can transmit, propagate, or transfer a program for use by or in conjunction with an instruction execution system, apparatus, or device. The program code contained on the computer-readable storage medium may be transmitted using any suitable medium, including but not limited to wireless, wired, optical cable, RF, or any suitable combination thereof. The program code used to perform the operations of the present invention may be written in any combination of one or more programming languages, including Java, C++, Python, C#, JavaScript, PHP, Ruby, Swift, Go, Kotlin, and the like. The program code may be executed entirely on the user computing device, partially on the user device, as a standalone software package, partially on the user device and partially on a remote computing device, or entirely on a remote computing device or server. Where a remote computing device is involved, the remote computing device may be connected to the user device through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computing device (e.g., through the Internet using an Internet service provider).

[0280] The present application provides a computer program product, which includes a computer program. When the computer program is executed by one or more processors, it implements the steps of any of the above methods or the functions of any of the above electronic devices.

[0281] See FIG4 , which is a schematic diagram of the structure of a computer program product provided in an embodiment of the present application.

[0282] The computer program product is used to implement the steps of any of the above methods or to implement the functions of any of the above electronic devices. The computer program product may be a portable compact disc read-only memory (CD-ROM) and include program code, and may be run on a terminal device, such as a personal computer. However, the computer program product of the present invention is not limited thereto, and the computer program product may be any combination of one or more computer-readable media.

Claims

1. A method for adjusting a plan for radiotherapy, the method comprising the following steps: S1, obtaining simulated CT information and treatment plan information of the patient, wherein the simulated CT information includes a simulated CT image and its corresponding region division information, wherein the region division information is used to divide the target area and the organ-at-risk area on the simulated CT image, and the treatment plan information includes planned treatment parameters of the target area and the organ-at-risk area; S2, in the current radiotherapy corresponding to the treatment plan information, by measuring the Cherenkov radiation emitted by the patient when the patient is exposed to particle radiation, so as to obtain in real time the surface optical image information of the irradiated area of ​​the patient; S3, acquiring the irradiation dose information of the target area and the organ at risk in the treatment area according to the optical image information, the simulated CT information and the preset mapping relationship; S4, judging whether the treatment plan of subsequent irradiation fractions needs to be adjusted according to the dose information of the target area and the organ at risk and the treatment plan; S5, if yes, then adjust the treatment plan for subsequent fractions according to the dose distribution of the irradiated area and the corresponding treatment prescription of the patient.

2. The plan adjustment method according to claim 1, characterized in that: Before the current radiotherapy corresponding to the treatment plan information, the method further includes the following steps: S6, obtaining a detection result of the patient's positioning error detection, and when the detection result indicates that the patient's positioning meets the preset positioning condition, executing step S2.

3. The plan adjustment method according to claim 2, wherein: The positioning error detection comprises: Implementing image error detection of the patient according to preset positioning information and using a radiographic imaging device; When the image error detection fails, repositioning the patient using a positioning device and re-performing the image error detection; When the image error detection passes, it is considered that the patient's positioning meets the preset positioning conditions.

4. The plan adjustment method according to claim 3, wherein: Before the image error detection, the positioning error detection further includes: Implementing laser error detection on the patient using a laser device; When the passing information corresponding to the laser error detection is received, the image error detection is performed.

5. The plan adjustment method according to claim 3, wherein: The method of realizing image error detection of the patient according to the preset positioning information and using a radiographic imaging device includes: Acquiring actual positioning information of the patient using a radiographic imaging device; The actual positioning information is compared with the preset positioning information to obtain a detection result of the image error detection of the patient.

6. The plan adjustment method according to claim 5, wherein: When the image error detection fails, repositioning the patient using a positioning device includes: Acquire a positioning error value according to the actual positioning information and the preset positioning information; A positioning adjustment strategy is generated according to the positioning error value, and the positioning adjustment strategy is executed by using a positioning mechanism to achieve repositioning of the patient.

7. The plan adjustment method according to claim 1, wherein: The step of measuring the Cherenkov radiation emitted by the patient due to particle radiation to obtain real-time surface optical image information of the irradiated area of ​​the patient includes: During the radiotherapy, the Cherenkov radiation emitted by the patient due to the particle radiation is measured by an optical measuring device to obtain real-time body surface optical information of the patient; Acquiring an optical dose correspondence relationship between body surface optical information and body surface dose information, wherein the optical dose correspondence relationship is obtained by using a non-uniform simulated human tissue phantom and measuring Cherenkov radiation and angular dose deposition in the phantom; According to the optical dose correspondence, obtaining body surface dose information corresponding to the real-time body surface optical information and using it as real-time body surface dose information, wherein the real-time body surface dose information is used to indicate the particle dose on the patient's surface; Surface optical image information of the irradiated area of ​​the patient is acquired according to the real-time body surface dose information and the simulated CT image.

8. The plan adjustment method according to claim 1, wherein: The preset mapping relationship is the corresponding relationship between the secondary electron dose and the total dose obtained by simulating the interaction between particles and the patient during treatment using the Monte Carlo method.

9. The plan adjustment method according to claim 1, wherein: The planned treatment parameters include the prescribed dose and the tolerated dose limit; The dose information of the target area and the organ at risk and the treatment plan are used to determine the subsequent irradiation fractions. Whether the treatment plan needs to be adjusted includes: According to the difference between the dose information of the target area and the prescription dose of the target area required in the treatment plan, and the difference between the dose information of the organ at risk and the tolerance dose limit of the organ at risk, it is determined whether the treatment plan of subsequent irradiation fractions needs to be adjusted.

10. The plan adjustment method according to claim 1, wherein: The method of obtaining the simulated CT information includes: A simulated CT image of the patient is acquired by using a CT device, and simulated CT information is acquired based on the delineation operation of the target area and the organ at risk of the simulated CT image.

11. The plan adjustment method according to claim 1, wherein: The method of adjusting the treatment plan information includes: The exposure dose information and the doctor's prescription information corresponding to the patient are input into a plan generation model to obtain reference plan information, and the reference plan information is used to update the treatment plan information of the patient.

12. The plan adjustment method according to claim 1, wherein: During the radiotherapy, the method further comprises: Comparing the irradiated dose information with the dose threshold of this radiotherapy; When the exposure dose to the organ at risk area exceeds the corresponding dose threshold, an abnormal prompt message is generated and sent to the user device.

13. An electronic device, comprising a memory and one or more processors, wherein the memory stores a computer program, and the one or more processors are configured to implement the following steps when executing the computer program: S1, obtaining simulated CT information and treatment plan information of the patient, wherein the simulated CT information includes a simulated CT image and its corresponding region division information, wherein the region division information is used to divide the target area and the organ-at-risk area on the simulated CT image, and the treatment plan information includes planned treatment parameters of the target area and the organ-at-risk area; S2, in the current radiotherapy corresponding to the treatment plan information, by measuring the Cherenkov radiation emitted by the patient when the patient is exposed to particle radiation, so as to obtain in real time the surface optical image information of the irradiated area of ​​the patient; S3, acquiring the irradiation dose information of the target area and the organ at risk in the treatment area according to the optical image information, the simulated CT information and the preset mapping relationship; S4, judging whether the treatment plan of subsequent irradiation fractions needs to be adjusted according to the dose information of the target area and the organ at risk and the treatment plan; S5, if yes, then adjust the treatment plan for subsequent fractions according to the dose distribution of the irradiated area and the corresponding treatment prescription of the patient.

14. A radiotherapy system comprising: The electronic device as claimed in claim 13; A dose acquisition device, used to acquire surface optical image information of the irradiated area of ​​the patient; A radiation device is used to perform particle radiation on the treatment area of ​​the patient.

15. A computer-readable storage medium storing a computer program, wherein the computer program, when executed by one or more processors, implements the steps of the method according to any one of claims 1 to 10 or implements the functions of the electronic device according to claim 13.

16. A computer program product, comprising a computer program, wherein the computer program, when executed by one or more processors, implements the steps of the method according to any one of claims 1 to 12 or implements the functions of the electronic device according to claim 13.

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