Generation method and device of cardiac surgery scheme, medium and equipment

Abstract

The invention discloses a cardiac surgery scheme generation method and device, a medium and equipment. The method comprises the following steps: acquiring continuous multi-frame three-dimensional images of a patient; recognizing a heart region in the continuous multi-frame three-dimensional image; based on the heart areas in the continuous multi-frame three-dimensional images, comprehensively obtaining a heart area image of the patient; identifying a focus area in the heart area image; generating a cardiac surgery scheme according to the focus area; the method comprises the following steps: acquiring continuous multi-frame three-dimensional images, identifying heart areas in the continuous multi-frame three-dimensional images, synthesizing to obtain a heart area image of a patient, identifying a focus area in the heart area image, and determining a heart operation scheme based on related information of the focus area. According to the technical scheme, an excellent cardiac surgery guidance scheme is provided for doctors, so that preoperative work of the doctors can be relieved, unified standard surgical scheme guidance can be provided for the doctors, the success rate of cardiac surgery can be increased, and risks and injuries of cardiac surgery can be reduced.

Description

Technical Field

[0001] The present application relates to the technical field of cardiac surgery plan determination, and in particular to a method, device, medium and equipment for generating a cardiac surgery plan. Background Art

[0002] The heart is the most important part of the human body, and heart disease has become one of the major diseases that threaten human life. Cardiac interventional therapy is a method of diagnosing and treating heart disease without opening the chest. Under the guidance of imaging methods, the catheter is sent to the lesion site by puncturing the surface blood vessels of the body with the help of certain instruments, and a specific cardiac catheter operation technique is used to diagnose and treat heart disease. It is a relatively advanced method for diagnosing and treating heart disease. With the continuous advancement of medical technology, the complexity and precision requirements of cardiac interventional therapy are also constantly increasing. There are still many technical challenges in the operation process. If they are not effectively solved, it will directly affect the success rate of the operation and the patient's prognosis. Therefore, a method is needed to improve the recognition of cardiac images and accurately extract the lesion area.

[0003] By extracting useful information such as coronary CT imaging data, cardiac ultrasound, and electrocardiogram, a heart image with the lesion site is generated and a treatment plan is formulated based on it. This can assist doctors in diagnosis, save communication costs, reduce the rate of empirical errors, improve treatment outcomes, and increase patient satisfaction. Summary of the invention

[0004] In order to solve the above technical problems, the present application is proposed. The embodiments of the present application provide a method, device, medium and equipment for generating a cardiac surgery plan.

[0005] According to one aspect of the present application, a method for generating a cardiac surgery plan is provided, comprising: acquiring multiple consecutive frames of three-dimensional images of a patient; wherein the three-dimensional images include the patient's cardiac region; identifying the cardiac region in the multiple consecutive frames of three-dimensional images; based on the cardiac region in the multiple consecutive frames of three-dimensional images, comprehensively obtaining an image of the patient's cardiac region; identifying a lesion region in the cardiac region image; and generating a cardiac surgery plan based on the lesion region.

[0006] In one embodiment, the step of comprehensively obtaining the patient's cardiac region image based on the cardiac regions in the continuous multiple frames of three-dimensional images includes: superimposing the cardiac regions in the continuous multiple frames of three-dimensional images to obtain the patient's cardiac region image.

[0007] In one embodiment, the identifying of the lesion area in the cardiac area image includes: calculating a first variance between N pixels on one side and N pixels on the other side of a single pixel point in the cardiac area image in a first direction; wherein N is a positive integer; calculating a second variance between N pixels on one side and N pixels on the other side of the single pixel point in a second direction; wherein the second direction is perpendicular to the first direction; if the first variance and / or the second variance is greater than a preset variance threshold, determining the single pixel point as a candidate point; and determining the lesion area based on the candidate point.

[0008] In one embodiment, determining the lesion region based on the candidate points includes: taking a closed region formed with the candidate points as boundaries as the lesion region.

[0009] In one embodiment, the method for generating a cardiac surgery plan further includes: calculating the cardiac data of the patient based on the cardiac area in the continuous multi-frame three-dimensional images; generating a cardiac surgery plan based on the lesion area includes: generating a cardiac surgery plan based on the lesion area and the cardiac data of the patient.

[0010] In one embodiment, the calculating of the patient's heart data based on the heart regions in the continuous multiple frames of three-dimensional images includes: calculating the patient's heart beat frequency and beat amplitude based on the difference between the heart regions in adjacent three-dimensional images.

[0011] In one embodiment, generating a cardiac surgery plan based on the lesion area and the patient's cardiac data includes: determining the incision position and incision size of the cardiac surgery based on the position and size of the lesion area in the cardiac area image; and determining the range of cardiac parameters of the patient during the cardiac surgery based on the patient's cardiac data.

[0012] According to another aspect of the present application, a device for generating a cardiac surgery plan is provided, comprising: a three-dimensional image acquisition module, used to acquire multiple consecutive three-dimensional images of a patient; wherein the three-dimensional image includes the patient's cardiac region; a cardiac region recognition module, used to identify the cardiac region in the multiple consecutive three-dimensional images; a cardiac image acquisition module, used to comprehensively obtain the patient's cardiac region image based on the cardiac region in the multiple consecutive three-dimensional images; a lesion region recognition module, used to identify the lesion region in the cardiac region image; and a surgery plan generation module, used to generate a cardiac surgery plan based on the lesion region.

[0013] According to another aspect of the present application, a computer-readable storage medium is provided, wherein the storage medium stores a computer program, and the computer program is used to execute any of the above methods.

[0014] According to another aspect of the present application, an electronic device is provided, comprising: a processor; a memory for storing instructions executable by the processor; and the processor is used to execute any of the above-described methods.

[0015] The present application provides a method, device, medium and equipment for generating a cardiac surgery plan, which obtains a continuous multi-frame three-dimensional image of a patient; wherein the three-dimensional image includes the patient's heart area; identifies the heart area in the continuous multi-frame three-dimensional image; based on the heart area in the continuous multi-frame three-dimensional image, comprehensively obtains the patient's heart area image; identifies the lesion area in the heart area image; and generates a cardiac surgery plan based on the lesion area; that is, by obtaining a continuous multi-frame three-dimensional image, and after comprehensively obtaining the patient's heart area image by identifying the heart area in the continuous multi-frame three-dimensional image, and identifying the lesion area in the heart area image, the cardiac surgery plan is determined based on the relevant information of the lesion area, and a better cardiac surgery guidance plan is provided to the doctor, thereby reducing the doctor's preoperative work, and at the same time providing the doctor with unified standard surgical plan guidance, thereby improving the success rate of cardiac surgery and reducing the risks and injuries of cardiac surgery. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] By describing the embodiments of the present application in more detail in conjunction with the accompanying drawings, the above and other purposes, features and advantages of the present application will become more apparent. The accompanying drawings are used to provide a further understanding of the embodiments of the present application and constitute a part of the specification. Together with the embodiments of the present application, they are used to explain the present application and do not constitute a limitation of the present application. In the accompanying drawings, the same reference numerals generally represent the same components or steps.

[0017] Figure 1 It is a flowchart of a method for generating a cardiac surgery plan provided by an exemplary embodiment of the present application.

[0018] Figure 2 It is a schematic diagram of the structure of a device for generating a cardiac surgery plan provided by an exemplary embodiment of the present application.

[0019] Figure 3 It is a structural diagram of an electronic device provided by an exemplary embodiment of the present application. DETAILED DESCRIPTION

[0021] Below, the exemplary embodiments according to the present application will be described in detail with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments of the present application, and it should be understood that the present application is not limited to the exemplary embodiments described here.

[0022] Figure 1FIG. 1 is a flow chart of a method for generating a cardiac surgery plan provided by an exemplary embodiment of the present application. Figure 1 As shown, the method for generating the cardiac surgery plan includes the following steps: Step 110: Acquire multiple frames of continuous three-dimensional images of the patient.

[0023] The three-dimensional image includes the patient's heart area. The present application obtains a continuous multi-frame three-dimensional image of the patient by means of CT, B-ultrasound, etc. before the operation, that is, obtains multiple three-dimensional images of the patient within a short time (e.g., 10 seconds) to know the morphology of the patient's heart in a continuous time.

[0024] Step 120: Identify the heart region in multiple consecutive frames of three-dimensional images.

[0025] The present application obtains the heart region in each three-dimensional image by respectively identifying the heart region in multiple frames of three-dimensional images. Specifically, the present application can divide the heart region and other background regions by means of image recognition and segmentation, thereby obtaining the heart region in each three-dimensional image.

[0026] Step 130: Based on the heart regions in the continuous multiple frames of three-dimensional images, a heart region image of the patient is obtained.

[0027] After obtaining the heart region in each three-dimensional image, the present application combines the heart regions of multiple consecutive three-dimensional images to obtain a comprehensive image of the patient's heart region. Since the patient's heart beats will produce certain changes in position and size, resulting in different heart region information at different times, the present application fuses the heart regions in multiple consecutive three-dimensional images to obtain a more accurate heart region image of the patient.

[0028] Step 140: Identify the lesion area in the heart area image.

[0029] After acquiring the patient's heart region image, the present application identifies the patient's heart region image to obtain the lesion area in the heart region image, that is, obtains the abnormal area in the heart region image, thereby determining the surgical area.

[0030] Step 150: Generate a cardiac surgery plan based on the lesion area.

[0031] After determining the patient's lesion area, the present application generates a cardiac surgery plan for the patient based on the information of the lesion area, thereby forming a plan to guide doctors to perform cardiac surgery. Specifically, the present application can input the lesion area and the corresponding heart area image into the trained intelligent model to automatically generate a cardiac surgery plan, that is, to generate a cardiac surgery plan for the patient based on the relative position and relative size of the lesion area and the heart area. Optionally, after generating the cardiac surgery plan, the present application can remotely send the cardiac surgery plan to a visualization device (such as a display) for doctors and patients to watch, and the present application can also demonstrate the specific surgical process on the visualization device based on the cardiac surgery plan, that is, use the visualization device to provide visual surgical guidance to doctors to improve the doctor's surgical proficiency and confidence, thereby improving the success rate of the operation, and also allow patients to know the surgical process in advance, thereby reducing patients' worries and tension, which is conducive to the emotional stability of patients during the operation.

[0032] The present application provides a method for generating a cardiac surgery plan, which comprises acquiring a plurality of continuous three-dimensional images of a patient; wherein the three-dimensional images include the patient's cardiac region; identifying the cardiac region in the plurality of continuous three-dimensional images; obtaining a cardiac region image of the patient based on the cardiac region in the plurality of continuous three-dimensional images; identifying a lesion region in the cardiac region image; and generating a cardiac surgery plan based on the lesion region; namely, acquiring a plurality of continuous three-dimensional images, and obtaining a cardiac region image of the patient after identifying the cardiac region in the plurality of continuous three-dimensional images, and identifying the lesion region in the cardiac region image, so as to determine a cardiac surgery plan based on relevant information of the lesion region, and provide a doctor with a better cardiac surgery guidance plan, thereby reducing the doctor's preoperative work, and providing a unified standard surgical plan guidance for the doctor, thereby improving the success rate of cardiac surgery and reducing the risks and injuries of cardiac surgery.

[0033] In one embodiment, the specific implementation of the above step 130 may be: superimposing the heart regions in multiple consecutive frames of three-dimensional images to obtain a heart region image of the patient.

[0034] Since the patient's heart is in the process of beating, and its position and size will change slightly when the heart beats, if only the position and size of the heart at a single moment are used as the heart area information, it may cause certain surgical errors, and the errors in the surgical process may cause greater risks. Therefore, the present application obtains continuous multi-frame three-dimensional images and identifies the heart area in the multi-frame three-dimensional images to obtain the state information (including position and size) of the patient's heart in a continuous time period, and superimposes the heart area in the continuous multi-frame three-dimensional images to obtain the position involved in the heart in the time period, that is, to obtain the maximum area and maximum range that the heart may reach, thereby avoiding errors in the surgical process and providing a more accurate data basis for improving the success rate of subsequent surgeries.

[0035] In one embodiment, the specific implementation method of the above step 140 may be: calculating the first variance between N pixel points on one side and N pixel points on the other side of a single pixel point in the cardiac area image in the first direction; wherein N is a positive integer; calculating the second variance between N pixel points on one side and N pixel points on the other side of the single pixel point in the second direction; wherein the second direction is perpendicular to the first direction; if the first variance and / or the second variance is greater than a preset variance threshold, determining the single pixel point as a candidate point; and determining the lesion area based on the candidate point.

[0036] After identifying and obtaining the cardiac region image, the present application determines each pixel point in the cardiac region image to determine whether it is a boundary point of the lesion region. Specifically, the present application calculates the first variance between N pixels on one side and N pixels on the other side of each pixel point in a first direction. For example, N pixels on the left side and N pixels on the right side of the pixel point are selected, and the variance between the N pixels on the left side and the N pixels on the right side is calculated (for example, a pixel point on the left side and a pixel point on the right side are subtracted, and then the square root of all differences is calculated). If the variance is greater than the variance threshold, it means that the pixel points on the left and right sides of the pixel point are quite different, and the pixel point can be judged as a boundary point of the lesion region. Similarly, the boundary point of the lesion region can be obtained from another direction (for example, the up and down direction). By combining the boundary points of the lesion region obtained in two mutually perpendicular directions, all boundary points of the lesion region can be obtained. By combining all boundary points, the lesion region in the cardiac region image can be obtained, thereby realizing the identification and determination of the lesion region in the cardiac region, thereby providing a basis for determining the subsequent surgical plan.

[0037] In one embodiment, the specific implementation of the above step 140 may be: a closed area formed with the candidate point as a boundary is used as the lesion area.

[0038] After all candidate points are calculated, the closed area formed by all candidate points as the boundary is the lesion area. It should be understood that in the actual operation process, there may be some interference points, which are usually isolated points and cannot form a closed area. Therefore, the candidate points that cannot form a closed area can be deleted to reduce interference points, thereby improving the accuracy of identifying the lesion area. It should also be understood that in the actual operation process, individual boundary points of the lesion area may be missed, so that other candidate points cannot form a completely closed area. The application can calculate the number of minimum boundary pixels required to be supplemented based on the existing candidate points to form a closed area, and by calculating the ratio of the number of minimum boundary pixels required to be supplemented to the existing candidate points on the boundary of the closed area, and judging whether the ratio is less than the preset ratio threshold, if it is small, it means that the number of minimum boundary pixels required to be supplemented is small and the enclosed area is large. At this time, the closed area can be formed by fitting to obtain a lesion area.

[0039] In one embodiment, the method for generating the above-mentioned cardiac surgery plan may also include: calculating the patient's cardiac data based on the cardiac area in multiple consecutive frames of three-dimensional images; correspondingly, the specific implementation method of the above-mentioned step 150 may be: generating a cardiac surgery plan based on the lesion area and the patient's cardiac data.

[0040] The present application can calculate the patient's heart data by comparing the heart area in multiple consecutive frames of three-dimensional images, that is, the patient's heart beating information, such as the beating amplitude and the beating frequency, can be calculated and compared based on information such as the position and size of the heart area in multiple consecutive frames of three-dimensional images. After calculating the patient's heart data, the present application generates a corresponding heart surgery plan based on the lesion area in the heart area image and the patient's heart data, so as to generate a heart surgery plan suitable for the patient based on the lesion area and the patient's heart functional data.

[0041] In one embodiment, the specific calculation method of the patient's heart data may be: based on the difference between the heart regions in adjacent three-dimensional images, the patient's heart beat frequency and beat amplitude are calculated.

[0042] The present application can determine the trend and degree of change between heart regions in adjacent three-dimensional images by calculating the differences in heart regions in adjacent three-dimensional images, such as area differences, boundary differences, size differences, etc., of heart regions in adjacent three-dimensional images, thereby determining the position and size of the heart during contraction and relaxation, thereby obtaining the frequency and amplitude of the heart beat, and then obtaining the patient's heart function, so as to adjust the subsequent designated surgical plan to be more suitable for the patient's physical condition.

[0043] In one embodiment, the specific implementation method of the above step 150 can be: determining the incision position and incision size of the heart surgery according to the position and size of the lesion area in the heart area image; determining the patient's heart parameter range during the heart surgery according to the patient's heart data.

[0044] After determining the lesion area, the present application determines the incision position and size of the cardiac surgery according to the position and size of the lesion area in the heart area image. That is, after determining the relative position and size of the lesion area and the heart area, the present application determines the incision position and size of the cardiac surgery according to the relative position and size of the lesion area and the heart area, thereby achieving an incision position that is closest to the lesion area and a minimum incision size. Under the premise of ensuring the success rate of the operation, the difficulty of the operation and the size of the wound are reduced as much as possible to improve the surgical effect and postoperative recovery effect.

[0045] Figure 2 FIG. 1 is a schematic diagram of a device for generating a cardiac surgery plan provided by an exemplary embodiment of the present application. Figure 2 As shown, the cardiac surgery plan generating device 20 includes: a three-dimensional image acquisition module 21, used to acquire a continuous multi-frame three-dimensional image of a patient; wherein the three-dimensional image includes the patient's heart region; a heart region recognition module 22, used to recognize the heart region in the continuous multi-frame three-dimensional image; a heart image acquisition module 23, used to comprehensively obtain the patient's heart region image based on the heart region in the continuous multi-frame three-dimensional image; a lesion region recognition module 24, used to recognize the lesion region in the heart region image; and a surgery plan generating module 25, used to generate a cardiac surgery plan according to the lesion region.

[0046] The present application provides a device for generating a cardiac surgery plan, which acquires a continuous multi-frame three-dimensional image of a patient through a three-dimensional image acquisition module 21; wherein the three-dimensional image includes the patient's heart region; the heart region recognition module 22 recognizes the heart region in the continuous multi-frame three-dimensional image; the heart image acquisition module 23 obtains the patient's heart region image based on the heart region in the continuous multi-frame three-dimensional image; the lesion region recognition module 24 recognizes the lesion region in the heart region image; the surgery plan generation module 25 generates a cardiac surgery plan according to the lesion region; that is, by acquiring continuous multi-frame three-dimensional images, and obtaining the patient's heart region image after recognizing the heart region in the continuous multi-frame three-dimensional images, and identifying the lesion region in the heart region image, so as to determine the cardiac surgery plan based on the relevant information of the lesion region, and provide doctors with a better cardiac surgery guidance plan, thereby reducing the doctor's preoperative work, and at the same time providing doctors with unified standard surgery plan guidance, thereby improving the success rate of cardiac surgery and reducing the risks and injuries of cardiac surgery.

[0047] In one embodiment, the cardiac image acquisition module 23 may be further configured to: superimpose cardiac regions in a plurality of consecutive frames of three-dimensional images to obtain a cardiac region image of the patient.

[0048] In one embodiment, the above-mentioned lesion area identification module 24 can be further configured as: calculating the first variance between N pixels on one side and N pixels on the other side of a single pixel point in the cardiac area image in the first direction; wherein N is a positive integer; calculating the second variance between N pixels on one side and N pixels on the other side of the single pixel point in the second direction; wherein the second direction is perpendicular to the first direction; if the first variance and / or the second variance is greater than a preset variance threshold, determining the single pixel point as a candidate point; and determining the lesion area based on the candidate point.

[0049] In one embodiment, the lesion region identification module 24 may be further configured to: use a closed region formed with the candidate point as a boundary as the lesion region.

[0050] In one embodiment, the cardiac surgery plan generating device 20 can be further configured to calculate the patient's cardiac data based on the cardiac area in multiple consecutive frames of three-dimensional images; correspondingly, the surgical plan generating module 25 can be further configured to generate a cardiac surgery plan based on the lesion area and the patient's cardiac data.

[0051] In one embodiment, the cardiac surgery plan generating device 20 may be further configured to calculate the patient's heart beat frequency and beat amplitude based on the differences in the cardiac regions in adjacent three-dimensional images.

[0052] In one embodiment, the surgical plan generation module 25 can be further configured to: determine the incision position and size of the cardiac surgery according to the position and size of the lesion area in the cardiac area image; and determine the patient's cardiac parameter range during the cardiac surgery according to the patient's cardiac data.

[0053] Below, reference Figure 3 The electronic device according to the embodiment of the present application is described. The electronic device may be any one or both of the first device and the second device, or a stand-alone device independent of them, and the stand-alone device may communicate with the first device and the second device to receive the collected input signal from them.

[0054] Figure 3 A block diagram of an electronic device according to an embodiment of the present application is illustrated.

[0055] like Figure 3 As shown, the electronic device 10 includes one or more processors 11 and a memory 12 .

[0056] The processor 11 may be a central processing unit (CPU) or other forms of processing units having data processing capabilities and / or instruction execution capabilities, and may control other components in the electronic device 10 to perform desired functions.

[0057] The memory 12 may include one or more computer program products, which may include various forms of computer-readable storage media, such as volatile memory and / or non-volatile memory. The volatile memory may include, for example, a random access memory (RAM) and / or a cache memory (cache), etc. The non-volatile memory may include, for example, a read-only memory (ROM), a hard disk, a flash memory, etc. One or more computer program instructions may be stored on the computer-readable storage medium, and the processor 11 may run the program instructions to implement the methods of the various embodiments of the present application described above and / or other desired functions. Various contents such as input signals, signal components, noise components, etc. may also be stored in the computer-readable storage medium.

[0058] In one example, the electronic device 10 may further include: an input device 13 and an output device 14 , and these components are interconnected via a bus system and / or other forms of connection mechanisms (not shown).

[0059] When the electronic device is a stand-alone device, the input device 13 may be a communication network connector, which is used to receive the collected input signals from the first device and the second device.

[0060] In addition, the input device 13 may also include, for example, a keyboard, a mouse, and the like.

[0061] The output device 14 can output various information to the outside, including determined distance information, direction information, etc. The output device 14 may include, for example, a display, a speaker, a printer, a communication network and a remote output device connected thereto, etc. Preferably, the present application can display the above-mentioned manual scheme on the display to show the patient the surgical plan and its origin, the simulated surgical process, postoperative recovery and risk content, the pros and cons of alternative plans, etc. By showing the patient the relevant content of the surgery, the patient's fear can be reduced, which is conducive to the smooth progress of the surgery; optionally, the present application can also use VR glasses and other equipment to provide patients with a more realistic and intuitive visual display.

[0062] Of course, to simplify, Figure 3 Only some of the components related to the present application in the electronic device 10 are shown, and components such as a bus, an input / output interface, etc. are omitted. In addition, according to specific application situations, the electronic device 10 may also include any other appropriate components.

[0063] In addition to the above-mentioned methods and devices, an embodiment of the present application may also be a computer program product, which includes computer program instructions, which, when executed by a processor, enable the processor to execute the steps of the method according to various embodiments of the present application described in the above-mentioned "Exemplary Method" section of this specification.

[0064] The computer program product may be written in any combination of one or more programming languages ​​to write program codes for performing the operations of the embodiments of the present application, including object-oriented programming languages, such as Java, C++, etc., and conventional procedural programming languages, such as "C" language or similar programming languages. The program code may be executed entirely on the user computing device, partially on the user device, as an independent software package, partially on the user computing device and partially on a remote computing device, or entirely on a remote computing device or server.

[0065] In addition, an embodiment of the present application may also be a computer-readable storage medium on which computer program instructions are stored. When the computer program instructions are executed by a processor, the processor executes the steps of the method according to various embodiments of the present application described in the above "Exemplary Method" section of this specification.

[0066] The computer readable storage medium can adopt any combination of one or more readable media. The readable medium can be a readable signal medium or a readable storage medium. The readable storage medium can include, for example, but is not limited to, a system, device or device of electricity, magnetism, light, electromagnetic, infrared, or semiconductor, or any combination of the above. More specific examples (non-exhaustive list) of readable storage media 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 of the above.

[0067] The basic principles of the present application are described above in conjunction with specific embodiments. However, it should be noted that the advantages, strengths, effects, etc. mentioned in the present application are only examples and not limitations, and it cannot be considered that these advantages, strengths, effects, etc. are required by each embodiment of the present application. In addition, the specific details disclosed above are only for the purpose of illustration and ease of understanding, not for limitation, and the above details do not limit the present application to being implemented by adopting the above specific details.

[0068] The block diagrams of the devices, apparatuses, equipment, and systems involved in this application are only illustrative examples and are not intended to require or imply that they must be connected, arranged, and configured in the manner shown in the block diagram. As will be appreciated by those skilled in the art, these devices, apparatuses, equipment, and systems can be connected, arranged, and configured in any manner. Words such as "including", "comprising", "having", etc. are open words, referring to "including but not limited to", and can be used interchangeably with them. The words "or" and "and" used here refer to the words "and / or" and can be used interchangeably with them, unless the context clearly indicates otherwise. The words "such as" used here refer to the phrase "such as but not limited to", and can be used interchangeably with them.

[0069] It should also be noted that in the apparatus, device and method of the present application, each component or each step can be decomposed and / or recombined. Such decomposition and / or recombination should be regarded as equivalent solutions of the present application.

[0070] The above description of the disclosed aspects is provided to enable any person skilled in the art to make or use the present application. Various modifications to these aspects will be readily apparent to those skilled in the art, and the general principles defined herein may be applied to other aspects without departing from the scope of the present application. Therefore, the present application is not intended to be limited to the aspects shown herein, but rather to the widest scope consistent with the principles and novel features disclosed herein.

[0071] The above description has been given for the purpose of illustration and description. In addition, this description is not intended to limit the embodiments of the present application to the forms disclosed herein. Although multiple example aspects and embodiments have been discussed above, those skilled in the art will recognize certain variations, modifications, changes, additions and sub-combinations thereof.

Claims

1. A method for generating a cardiac surgery plan, characterized in that: include: Acquire a continuous multi-frame three-dimensional image of a patient; wherein the three-dimensional image includes a heart region of the patient; Identifying a heart region in the continuous multiple-frame three-dimensional image; Based on the heart regions in the continuous multiple frames of three-dimensional images, comprehensively obtaining a heart region image of the patient; Identifying a lesion region in the heart region image; A cardiac surgery plan is generated according to the lesion area.

2. The method for generating a cardiac surgery plan according to claim 1, characterized in that: The step of comprehensively obtaining the patient's cardiac region image based on the cardiac region in the continuous multiple frames of three-dimensional images comprises: The heart regions in the continuous multiple frames of three-dimensional images are superimposed to obtain a heart region image of the patient.

3. The method for generating a cardiac surgery plan according to claim 1, characterized in that: The identifying of the lesion area in the heart area image comprises: Calculating a first variance between N pixels on one side and N pixels on the other side of a single pixel in the heart region image in a first direction; wherein N is a positive integer; Calculate a second variance between N pixels on one side and N pixels on the other side of the single pixel in a second direction; wherein the second direction is perpendicular to the first direction; If the first variance and / or the second variance is greater than a preset variance threshold, determining the single pixel point as a candidate point; Based on the candidate points, the lesion area is determined.

4. The method for generating a cardiac surgery plan according to claim 3, characterized in that: The determining the lesion area based on the candidate points comprises: A closed area formed with the candidate points as boundaries is used as the lesion area.

5. The method for generating a cardiac surgery plan according to claim 1, characterized in that: The method for generating a cardiac surgery plan also includes: Based on the heart area in the continuous multiple frames of three-dimensional images, calculate and obtain the heart data of the patient; Generating a cardiac surgery plan according to the lesion area includes: A cardiac surgery plan is generated according to the lesion area and the cardiac data of the patient.

6. The method for generating a cardiac surgery plan according to claim 5, characterized in that: The calculating and obtaining the patient's heart data based on the heart region in the continuous multiple frames of three-dimensional images includes: Based on the differences between the cardiac regions in the adjacent three-dimensional images, the patient's heart beat frequency and beat amplitude are calculated.

7. The method for generating a cardiac surgery plan according to claim 5, characterized in that: Generating a cardiac surgery plan according to the lesion area and the patient's cardiac data includes: Determining the incision position and incision size of the cardiac surgery according to the position and size of the lesion area in the cardiac region image; A cardiac parameter range of the patient during the cardiac surgery is determined based on the cardiac data of the patient.

8. A device for generating a cardiac surgery plan, characterized in that: include: A three-dimensional image acquisition module, used to acquire a continuous multi-frame three-dimensional image of a patient; wherein the three-dimensional image includes the heart area of ​​the patient; A heart region recognition module, used to recognize the heart region in the continuous multi-frame three-dimensional image; A cardiac image acquisition module, used for comprehensively obtaining a cardiac region image of the patient based on the cardiac region in the continuous multi-frame three-dimensional images; A lesion region recognition module, used for recognizing the lesion region in the heart region image; The surgical plan generating module is used to generate a cardiac surgical plan according to the lesion area.

9. A computer-readable storage medium, characterized in that: The storage medium stores a computer program, and the computer program is used to execute the method according to any one of claims 1 to 7.

10. An electronic device, characterized in that: include: processor; a memory for storing instructions executable by the processor; The processor is used to execute the method described in any one of claims 1 to 7.

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