30 results about "High-LET Radiotherapy" patented technology

The utility model discloses a buccal device for radiotherapy, which belongs to the technical field of medical instruments and comprises a tongue depressor, a tongue depressor and a tongue depressor holder. The buccal cylinder is arranged on the outer side of the tongue depressor in a sliding and sleeving manner; the adjusting unit is connected with the tongue depressor so as to adjust the position of the buccal tube on the tongue depressor; the connecting plate is connected with one end, far away from the buccal tube, of the tongue depressor; one end of the fixing unit is connected with the connecting plate in a relative position adjustable mode, and the other end of the fixing unit is bent to be attached to the jaw. According to the buccal device for radiotherapy, the depth of the tongue depressor extending into the oral cavity can be adjusted, the stability of the buccal device for radiotherapy is improved through the fixing plate, and the fixing position is prevented from being changed.

This disclosure relates to a radiotherapy system, a method for controlling the radiotherapy system, a computing device, and a computer-readable storage medium. In one aspect, the radiotherapy system includes: a radiotherapy apparatus including a source device for emitting therapeutic rays; a guide rail extending through the radiotherapy apparatus; and a shielding door movably disposed on the guide rail for movement between a first position and a second position, wherein, in the first position, the shielding door is located below the source device to shield the therapeutic rays; and in the second position, the shielding door is moved away from below the source device to allow the therapeutic rays to irradiate a radiotherapy space below the source device. This effectively alleviates the target subject's tension, depression, and other emotional states, thereby effectively reducing involuntary movements of the target subject and improving radiotherapy accuracy.

A six-degree-of-freedom proton heavy ion radiotherapy bed comprises a bed plate and a base, a Z-axis rotating module is arranged on the base, an XY-axis overturning module is arranged on the Z-axis rotating module, an XY plane moving module is arranged on the XY-axis overturning module, and the bed plate is arranged on the XY plane moving module; in conclusion, the flexibility and precision of the radiotherapy bed can be remarkably improved, and the system can more accurately position the patient to the optimal treatment position by combining the multi-dimensional adjustment capabilities of rotation, overturning, translation and the like, so that the radiotherapy effect is improved.

The invention discloses a radiotherapy body position fixing plate and a forming method thereof. The method comprises the steps that a body frame plate used for being fixedly arranged on a radiotherapy treatment bed is formed; three spaced positioning parameter selection areas are formed on one side of the body frame plate, and each positioning parameter selection area comprises at least four hollow sub-areas; a positioning parameter display device used for displaying positioning parameters of the body frame plate under the image is formed in each sub-region, and the positioning parameter display device comprises a positioning parameter card capable of displaying positioning parameter information of the body frame plate under the image. According to the radiotherapy body position fixing plate, positioning parameters used when a patient is positioned can be displayed on an image, a treatment plan is prevented from being made again, the treatment positioning error rate is reduced, a therapist can manually modify the specific parameter value of the positioning parameters during positioning, the value can be displayed on a positioning image, and the positioning accuracy is improved. The real positioning parameters of the body position fixing plate used by the current patient can be truly reflected, and the radiotherapy effect is improved.

This invention provides an image processing-based radiotherapy method, belonging to the field of medical image processing and radiotherapy technology. This method acquires multi-dimensional data such as the patient's CT images, physiological state information, body mass index, and gender. After preprocessing the CT images, it utilizes a deep convolutional neural network and multimodal feature fusion technology to extract and fuse image features, physiological state features, weight features, and gender features to generate high-quality feature vectors. Furthermore, through semi-supervised learning, combined with labeled and unlabeled CT images, it adaptively adjusts the radiotherapy dosage, thereby achieving precise radiotherapy. This invention, employing the above-mentioned image processing-based radiotherapy method, can effectively improve the personalization and accuracy of radiotherapy planning, and has significant technical application value.

The invention relates to a gold nano radiotherapy sensitizer for surface enhanced Raman spectroscopy and a preparation method and application thereof. Specifically, the invention provides a composite material with manganese dioxide wrapped by gold nanoparticles, which has improved surface enhanced Raman spectrum signals, improved X-ray deposition efficiency and improved tumor killing effect in radiotherapy. And a nucleic acid aptamer for targeting tumors can be carried, so that the targeting property and the safety are improved, and wide application prospects are realized in the fields of radiotherapy sensitization, tumor diagnosis and the like. In addition, the invention further provides a method for preparing the gold nano composite material, dopamine-grafted polyethylene glycol, gold nano particles, potassium permanganate and the like in different proportions are used as raw materials, and the gold nano composite materials with different shapes and sizes can be prepared and used for different purposes. The preparation method is simple, easy to operate and beneficial to industrial production and application.

The application discloses a head and neck cancer radiotherapy dose prediction method based on cross perception fusion, comprising the following steps: (1) establishing a training data set containing a patient CT image, a planning target volume, an organ at risk and a real dose distribution; (2) constructing a generative adversarial network based on cross perception fusion, introducing a cross perception fusion module in the generator, realizing the deep interaction and fusion of local and global features, and introducing a multi-scale cross window self-attention coding network to constrain the difference between the generated and real doses at multiple scales; (3) constructing a hybrid loss function based on the discriminator and the multi-scale cross window self-attention coding network; (4) training the generative adversarial network by using the training data set; and (5) testing the data to be tested by using the trained network, and the output of the generator is the dose prediction result. The application can realize the direct generation of the head and neck cancer radiotherapy dose distribution, assist doctors in formulating accurate radiotherapy plans, and improve the radiotherapy effect.

The invention relates to the technical field of adjuvant therapy, and provides a radiotherapy tumor motion following system and method, which respectively controls the translational motion of a treatment bed and adjusts the motion parameters of an MLC blade based on a displacement vector from the acquisition of a respiratory motion signal and the inversion of the elastic modulus distribution of a target tissue to accurate displacement analysis. According to the following system, tumor motion compensation is obtained, all links are linked with one another, precise tracking and dynamic compensation of tumor motion are achieved, and compared with a traditional radiotherapy technology, the following system can remarkably improve radiotherapy precision, reduce radiotherapy errors caused by tumor motion and reduce the radiation dosage to surrounding normal tissues, and the radiotherapy precision is improved. And the problem caused by tumor movement in radiotherapy is solved from multiple dimensions.

The invention relates to a breath pattern classification and evaluation method for chest and abdomen tumor patients before radiotherapy. The method comprises the steps that respiratory movement signals of the chest and the abdomen of a patient are collected, and original signal data reflecting changes of chest and abdomen respiratory movement along with time are obtained; preprocessing and feature extraction are conducted on the original signal data, a plurality of breathing feature parameters are obtained, and the feature parameters comprise a chest breathing movement amplitude parameter, an abdomen breathing movement amplitude parameter, breathing frequency, a chest and abdomen breathing synchronism index and a chest and abdomen breathing movement phase difference; inputting the characteristic parameters into a breathing mode classification model based on machine learning, and identifying and classifying the breathing mode of the patient to determine that the breathing mode of the patient belongs to an abdominal breathing mode, a thoracic breathing mode, a mixed breathing mode or other abnormal breathing modes; and evaluating the breathing mode of the patient based on the classification result and the characteristic parameters. According to the invention, the safety and effectiveness of the radiotherapy process are improved.

The utility model relates to the technical field of medical auxiliary instruments, in particular to a vagina length scale for radiotherapy, which is characterized in that a supporting structure extends into the vagina of a patient to open the vagina of the patient, a measuring structure is guided through a limiting structure, and then a doctor extends the measuring structure into the vagina of the patient to measure the length of the vagina of the patient. The vagina length of a patient is measured, so that the practicability of the vagina length scale for radiotherapy is improved; comprising a supporting structure; the device further comprises a limiting structure and a measuring structure. The supporting structure and the measuring structure are both installed on the limiting structure. The supporting structure is used for supporting the vagina of a patient, the limiting structure is used for limiting and guiding the measuring structure, and the measuring structure is used for measuring the length of the vagina of the patient.

The application discloses a liver tumor radiotherapy dose prediction method based on a diffusion model, and an embodiment thereof is: 1) data collection; 2) preprocessing; 3) constructing a dose prediction model; 4) constructing a loss function; 5) training the prediction model; and 6) dose prediction. The application introduces a beam field, thereby providing the dose prediction model with radiotherapy beam direction information and dose deposition information in a beam propagation process; in order to efficiently utilize input condition information, in a noise prediction network, a multi-branch encoder and a multi-condition aggregation module are designed to realize feature extraction and aggregation of different input condition information, and an asymmetric fusion module is designed to reduce information loss in the input condition information processing process. Compared with a traditional deep learning method, the application can generate more realistic dose prediction results, is helpful to improve the efficiency of radiotherapy plan design, and formulates a personalized treatment plan, and has great practical application value.

The invention discloses a head, neck and arm fixing device for chest tumor radiotherapy, and relates to the technical field of medical instruments, and the main points of the technical scheme are that the head, neck and arm fixing device comprises a first base, the top of the first base is provided with a head fixing mechanism, the front is provided with a neck fixing mechanism, and two rear sides are symmetrically provided with arm fixing mechanisms. The head fixing mechanism and the arm fixing mechanism each comprise an inflation channel, an air bag and an electric telescopic rod and are matched with an inflation pump to achieve flexible clamping and mechanical positioning. The neck fixing mechanism drives an extrusion plate to be matched with the neck for fixing through a motor. The arm fixing mechanism can be adjusted front and back along the sliding rod, and all the mechanisms cooperate to achieve linkage and synchronous fixing. The device is provided with an air pressure sensor, a pressure sensor and a display screen, clamping force is accurately controlled through an integrated circuit board, and the device adapts to patients of different body types. The device can effectively limit the movement of limbs, improve the stability and repeatability of the body position, reduce the radiotherapy positioning deviation, enhance the comfort of a patient, simplify the positioning operation and improve the radiotherapy efficiency.

This invention relates to the field of biomedical technology, disclosing a drug combination and its application for improving the sensitivity of FLASH radiotherapy in the treatment of colorectal cancer peritoneal metastases. The combination comprises a therapeutically effective amount of an APOE inhibitor and / or an IL1B agonist. By combining an APOE inhibitor and / or an IL1B agonist, this invention can precisely target and intervene in abnormal gene expression after FLASH radiotherapy, thereby improving the abnormal gene expression state after FLASH radiotherapy, eliminating the negative impact of abnormal gene expression on the efficacy of radiotherapy, significantly improving the therapeutic sensitivity of FLASH radiotherapy to colorectal cancer peritoneal metastases, achieving radiosensitization, and providing a new targeted strategy for the radiotherapy treatment of colorectal cancer peritoneal metastases.

The invention discloses a dose generation method and system applied to shallow X-ray radiotherapy, and the method comprises the steps: generating a two-dimensional source skin distance matrix through an optical device or customized parameter configuration; converting the two-dimensional source skin distance matrix into an equivalent digital motif; synchronously constructing an X-ray source model, simulating a photon emission process and acquiring phase space data; enabling Z axes of the ray source coordinate system and the digital model body coordinate system to be collinear and the original points to coincide through coordinate system alignment operation, and establishing a dosimetry simulation model; carrying out analogue simulation by utilizing the dosimetry simulation model; and counting accumulated deposition energy in the voxels, and outputting a three-dimensional dose matrix. The system comprises a matrix construction unit, a motif construction unit, a source model construction unit, a coordinate system alignment unit, a simulation unit and a dose generation unit. According to the invention, the rationality of simulation calculation of the radiotherapy dose can be improved. The method can be widely applied to the field of dose calculation.

The present invention relates to the field of radiotherapy technology, and specifically discloses an automatic control device, method and system for ray emission. By non-physically connecting a beam needle and a radiotherapy needle, and when monitoring that the phase position between the beam needle and the radiotherapy needle meets the ray emission conditions, the ray source is controlled to emit rays to the radiotherapy site and pass through the beam needle, through the air, and then through the radiotherapy needle to accurately emit the rays to the radiotherapy site. There is no need for the ray source to be connected to the radiotherapy site through the radiotherapy needle, which reduces the displacement of the ray source in the ray direction, thereby improving the ray emission accuracy, and further improving the accuracy, convenience and efficiency of radiotherapy, and reducing the risk of radiotherapy; and by directly and sealedly introducing the radiotherapy needle into the radiotherapy site, the wound at the radiotherapy site can be reduced, which is beneficial to reducing the trauma suffered by the radiotherapy subject; and damage to the pipelines of the beam needle and radiotherapy needle, such as bending, cracking and breaking, is reduced.

The present invention discloses a method, system, device, and medium for generating radiotherapy plans based on ordinary differential equations. This method relates to the automatic generation of radiotherapy plans in the field of artificial intelligence medicine, and aims to address the technical issues of low dose distribution accuracy and poor radiotherapy quality in radiotherapy plans generated in the prior art. This method employs a dose prediction module and a flux prediction module within the radiotherapy plan generation model, both of which utilize a U-Net network structure. The projection map is used as input to the dose prediction module, and both the output of the dose prediction module and the projection map are used as input to the flux prediction module. When the flux prediction module is upsampled, the feature map obtained after upsampling, the feature map corresponding to the jump connection in the flux prediction module, and the corresponding feature map generated in the dose prediction module are concatenated and then convolved. This allows the model to capture continuous changes in organs, and ultimately generates a radiotherapy plan with higher dose distribution accuracy and higher radiotherapy quality.

The invention discloses an identification and application method of UBA6 as a nasopharynx cancer radiosensitivity treatment target, and relates to the technical field of biomedical engineering. Comprising the following steps: S1, providing a cell line or tissue sample from nasopharyngeal carcinoma, wherein the sample is an in-vitro culture model or an in-vitro sample; s2, detecting the expression level of the UBA6 protein or gene in the sample through an immunology or molecular biological technology under an in-vitro condition; s3, based on the expression level, comparing the expression level with a pre-established radiosensitivity reference value, and identifying the sensitivity degree of the sample to ionizing radiation; and S4, on the basis of a phenotypic experiment, comparing with a non-treatment group, and proving that the growth of nasopharyngeal carcinoma cells can be inhibited by both the UBA6 knockout cells and the addition of UBA6 inhibitor inosine in the presence or absence of the UBA6 knockout cells, so that the radiotherapy treatment effect is improved.

The invention belongs to biological medicine, and relates to a sensitizer, in particular to application of SPP1 as a target spot in preparation of a lung cancer large-segmentation radiotherapy sensitizer, and the lung cancer large-segmentation radiotherapy sensitizer is prepared by inhibiting the activity of SPP1 protein, inhibiting the expression of SPP1 coding genes, reducing the expression of MIF, inhibiting the activity of MIF signal channels and enhancing the recruitment of CD8 + T cells and tumor immune activation. The sensitivity of lung cancer patients to radiotherapy can be improved, so that the lung cancer radiotherapy effect is improved. Moreover, the invention discloses lung cancer radiotherapy resistance markers SPP1 and MIF signal pathways, and clarifies a new mechanism of lung cancer radiotherapy resistance, which is of great significance for exploring the relationship between SPP1 and lung cancer radiotherapy sensitivity and improving radiotherapy curative effect and patient prognosis.

The application belongs to the technical field of radiotherapy, and relates to a monitoring and interaction system for a radiotherapy scene, a model construction method and a medium. The system synchronously collects multi-modal physiological data of a patient through a ring-shaped collection device arranged between a radiotherapy device head and a treatment bed, and realizes linkage control and patient interaction guidance in a radiotherapy process based on multi-source heterogeneous data assimilation, physical constraint digital twin modeling and real-time prediction. A unified technical system of "multi-modal physiological data synchronous collection-multi-source heterogeneous data assimilation-physical constraint digital twin modeling-real-time prediction and linkage control" is constructed, so that real-time mapping, trend prediction and active interaction control of the physiological state of the patient can be realized without interfering with the operation of the radiotherapy device, and the treatment accuracy, safety and patient compliance in the radiotherapy process are improved.

The invention relates to a lattice parameter intelligent optimization method and system in space segmentation radiotherapy. The method comprises the following steps: acquiring first tumor delineation data and first organ-at-risk delineation data, and constructing a lattice parameter initialization machine learning model based on the first tumor delineation data and the first organ-at-risk delineation data; acquiring second tumor delineation data, second endangered organ delineation data and intra-tumor feature tissue delineation data; inputting the second tumor sketching data and the second endangered organ sketching data into a lattice parameter initialization machine learning model to generate second lattice parameter initial data; and intelligently optimizing the second lattice parameter initial data based on the intra-tumor characteristic tissue sketching data to obtain lattice parameter intelligent optimization result data. The method can achieve the intelligent and precise optimization of lattice parameters, improves the formulation efficiency and quality of a radiotherapy plan, provides a more suitable personalized treatment scheme for a patient, facilitates the improvement of the curative effect of space segmentation radiotherapy, and reduces the side effects.

The present invention relates to the field of radiotherapy technology, and discloses a positioning method for tracking changes in tumor position during radiotherapy. The method includes: identifying the breathing pattern of a tumor patient during radiotherapy, monitoring the real-time breathing status of the tumor patient during radiotherapy; identifying changes in the body position of the tumor patient in the real-time breathing state, analyzing the degree of influence of the body position change on the breathing rhythm, and identifying the movement pattern of the tumor position; setting a radiation beam at the tumor position according to the position balance point of the tumor position under the breathing pattern; tracking the dynamic coordinates of the tumor position in real time, analyzing the motion trajectory of the tumor position, and setting a multi-angle tracking mechanism for the tumor position according to the correlation pattern between the radiation angle of the radiation beam and the motion trajectory; based on the multi-angle tracking mechanism, tracking the changes in the tumor position during radiotherapy to obtain tracking results. The present invention can accurately track the position changes of the tumor during radiotherapy, thereby improving the overall efficiency and effect of radiotherapy.

The invention relates to the technical field of digital twinborn biology, in particular to a radiotherapy medication collaborative management method and system based on digital twinborn, and the method comprises the steps: obtaining a tumor organ simulation model corresponding to a tumor object according to a content identifier; according to the radiotherapy-medication scheme, performing simulation implementation on the tumor organ simulation model to obtain a simulation implementation effect score; when the simulation implementation effect score is greater than a preset implementation standard, outputting the radiotherapy-medication scheme as an effective medical scheme; performing scheme implementation operation on the tumor object by utilizing an effective medical scheme to obtain real pathological change information, and updating the tumor organ simulation model by utilizing the real pathological change information to obtain an updated tumor organ simulation model; generating an updated content identifier corresponding to the updated tumor organ simulation model; and according to a pre-constructed identity identifier, carrying out block chain uplink operation on the updated content identifier. According to the invention, the radiotherapy and medication accuracy can be improved.

The present invention discloses a system and method for estimating and predicting tumor motion in a radiotherapy robot, relating to the technical field of radiotherapy robots. The system comprises a state relationship curve analysis unit, a tumor motion tracking and acquisition unit, a model robot integration unit, a radiotherapy parameter modification and adjustment unit, and a real-time prediction and utilization unit. The present invention first uses magnetic resonance imaging technology to obtain the tumor position at different respiratory stages and analyzes its relationship with respiratory state, enabling a precise understanding of the tumor's changing patterns with respiratory motion. Simultaneously, X-ray technology is used to obtain soft tissue subtraction images and tumor motion trajectory data, enhancing understanding of tumor motion characteristics and making later radiotherapy positioning more accurate. This enables the radiotherapy robot to more intelligently track and treat tumors, maximizing the accuracy and efficiency of radiotherapy.

The invention provides a radiotherapy dose prediction method and system based on a Mama model. The method comprises the following steps: acquiring a CT image and a structure contour image of a tumor target region; inputting the CT image and the structure contour image into a preset prediction model, so that the prediction model performs multi-layer residual convolution operation on the CT image and the structure contour image, and further generates and outputs a radiotherapy dose distribution prediction map of the tumor target region; wherein the prediction model is obtained by training an initial prediction model according to historical CT images, historical structure contour images and historical radiotherapy dose distribution images of a plurality of patients, and the initial prediction model is a plurality of layers of coding-decoding structures based on a Mama model. Each layer of coding-decoding structure is composed of a residual error convolution coding module, a channel perception Mama module and a residual error convolution decoding module. According to the radiotherapy dose prediction method and system provided by the invention, the accuracy of radiotherapy dose distribution prediction can be improved.

This application relates to a point cloud data processing method, apparatus, computer equipment, and radiotherapy system. The method includes: acquiring first point cloud data captured by each camera device; there are at least two camera devices positioned at different locations; determining matching point pairs in the first point cloud data of every two camera devices; removing a first matching point from the matching point pairs and retaining a second matching point; and fusing the second matching point with the non-matching points in each of the first point cloud data sets to obtain a fused point cloud image; wherein, the first included angle corresponding to the first matching point is greater than the first included angle corresponding to the second matching point, or the cosine value of the first included angle corresponding to the first matching point is less than the cosine value of the first included angle corresponding to the second matching point; the first included angle is the angle between the normal to the first point cloud data and the line containing the depth direction of the corresponding camera device. Applied in radiotherapy scenarios, this method can accelerate radiotherapy workflow and throughput, improving the effectiveness and safety of radiotherapy.

The invention relates to the crossing field of combined application of biological medicine and tumor radiotherapy, in particular to a radiotherapy sensitization comprehensive platform based on a peptide protein drug conjugate PDC (Polycrystalline Diamond Compact). The general formula of the radiotherapy sensitization comprehensive platform is [L] x-S1-[K]-S2-[P] y, and x is equal to 1-4; y is equal to 1-3; l is a targeting ligand; k is a cleavable linker; s1 is a spacer or a hydrophilic arm; s2 is a spacer or a hydrophilic arm; p is an original load. According to the invention, an extensible modular PDC platform is constructed, accurate release of multiple types of sensibilization payloads is realized, a second sensibilization group R is introduced on the basis of a complete PDC molecular structure, the second sensibilization group R is cooperated with an original payload P, the radiotherapy sensitivity is improved, and a rule and a quality control threshold are integrally designed by ''independent triggering + release kinetics-radiotherapy window'', so that the sensitivity of the radiotherapy is improved. The problems that a radiotherapy sensitizer lacks tumor specific delivery and a safety window is limited are solved.

The invention provides a portrait segmentation-based radiotherapy positioning error detection method and system and a storage medium. The method comprises the following steps of: firstly, acquiring a to-be-detected positioning image corresponding to a radiotherapy positioning to be adopted by a radiotherapy patient during secondary radiotherapy and a reference positioning image corresponding to the radiotherapy positioning adopted by the first radiotherapy; obtaining target area masks corresponding to the reference placement image and the to-be-detected placement image by using a portrait segmentation model, and calculating a mass center actual offset distance and an error area ratio based on the target area masks of the reference placement image and the to-be-detected placement image so as to judge whether the radiotherapy placement to be adopted for secondary radiotherapy is qualified or not; therefore, by automatically and accurately segmenting the human body area and combining with the radiotherapy positioning adopted by the first time of radiotherapy, the radiotherapy positioning deviation of the second time of radiotherapy is quantified, and a radiotherapy technician is prevented from subjectively judging the positioning error, so that the detection accuracy of the radiotherapy positioning error is remarkably improved, the radiotherapy technician is accurately assisted in adjusting the radiotherapy positioning, and the radiotherapy positioning accuracy is improved. And the radiotherapy safety is improved.

The invention discloses a fixed bed board for proton radiotherapy, and relates to the technical field of radiotherapy equipment, the lower surface of a main bed board is used for being connected with the upper surface of a treatment bed body, the upper surface of the main bed board is used for a patient to lie down, a wing-shaped plate is arranged on the upper surface of the main bed board and is used for being arranged corresponding to the shoulder of the patient, and a positioning assembly is arranged on the main bed board; the positioning assembly is used for positioning the wing-shaped plate, the fixing module can be detachably installed on the upper surface of the main bed plate and comprises a knee limiting element used for limiting the knees of a patient and a foot limiting element used for limiting the feet of the patient, and the compensation bridge frame can be detachably installed on the upper surface of the main bed plate. The compensation bridge is arranged corresponding to the head and neck of a patient, the space between the compensation bridge and the upper surface of the main bed board is used for containing the head and neck of the patient, and the compensation bridge is used for achieving tissue compensation. The working efficiency during radiotherapy can be improved, the use comfort of a patient is good, and the personal safety of medical staff can be effectively guaranteed.

The invention discloses an auxiliary fixing device for tumor radiotherapy, and relates to the technical field of radiotherapy, the auxiliary fixing device comprises a radiotherapy fixing mechanism and a radiotherapy movable plate installed at the bottom of the radiotherapy fixing mechanism, the bottom of the radiotherapy fixing mechanism is provided with a treatment adjusting mechanism, and one side of the treatment adjusting mechanism is provided with radiotherapy equipment. The radiotherapy fixing mechanism comprises a limiting headrest, the limiting headrest is fixedly installed on one side of the top of the radiotherapy movable plate, an extrusion air bag is fixedly installed in the limiting headrest, a head protection pad is fixedly installed on the top of the extrusion air bag, a first connecting pipe is fixedly installed on one side of the extrusion air bag, and a second connecting pipe is fixedly installed on the other side of the extrusion air bag. The end part of the first connecting pipe is fixedly connected with a neck protection air bag, the head protection pad is extruded under the gravity action of the head, so that the head protection pad compresses the extrusion air bag, air in the extrusion air bag is extruded into the neck protection air bag, the neck of a patient can be supported through the neck protection air bag, and the comfort during radiotherapy is improved.