16 results about "Radiation therapy fields" patented technology

The invention belongs to the field of lung medical data processing and radiotherapy, and discloses a respiratory feature extraction method for chest and abdomen body surface point cloud partitioning by considering a lung physiological structure. After the body surface point cloud image is differentiated, correlation coefficient calculation is carried out according to a lung lobe model reconstructed by a lung 4DCT image, a body surface area highly correlated with a lung lobe structure is selected to carry out motion information dimension reduction recombination, and finally body surface global features of breathing are represented in a three-dimensional vector form. Compared with the prior art, the method has the advantages that the influence of the lung physiological structure on the lung tumor movement mode is creatively considered, meanwhile, the advantages of being noninvasive and free of extra dosage are kept, a new thought can be provided for development of the radiotherapy image guide technology, and further research in the field of thoracic and abdominal activity tumor radiotherapy is facilitated.

The invention discloses a tumor radiotherapy dose prediction method based on a diffusion model. The implementation scheme is as follows: 1) data collection; 2) data preprocessing; 3) constructing a dose prediction model; 4) training a prediction model; and 5) dose prediction. According to the dose prediction model constructed by the invention, a three-branch encoder is adopted to efficiently extract key features of input information, and accurate fusion of multi-source input features is realized by means of a feature fusion module MFF; the designed full-scale jump connection based on deformable convolution can make full use of the feature distribution of input conditions on different scales, thereby significantly improving the accuracy and robustness of dose prediction. The method can quickly generate a dose distribution result rich in high-frequency information, and has important scientific value and application prospect in the field of precise tumor radiotherapy.

The invention discloses a portable virtual reality medical information display radiotherapy auxiliary system, which relates to the field of radiotherapy and comprises an image acquisition module, a modeling module, a feature point identification module, an analysis module, a focus area determination module and a VR display module. Determining feature points and key points of a patient target area through an image acquisition module, a modeling module and a feature point identification module, and analyzing an association relationship between the feature points and the key points through an analysis module; the VR display module obtains real-time 3D structured light data of a patient, key point coordinates of the body surface of the patient are determined through the modeling module and the feature point recognition module, the human body surface contour and the focus area contour are determined through the focus area determination module and the analysis module, and the VR display module displays the contour and assists a doctor in adjusting the position of the medical linear accelerator. According to the invention, more accurate positioning guidance can be provided for the radiotherapy process, and the radiotherapy efficiency and precision are improved.

Embodiments of the present invention provide a dose rate intensity modulation method, device, computer device, and storage medium, which relate to the field of intensity modulated radiotherapy. In the embodiments of the present invention, first, the current actual dose, the current target dose, and the current pulse frequency are obtained, where the current pulse frequency is used to characterize the dose rate of the radiation beam emitted by the radiation source device; then, according to the current actual dose, the current target dose, and the current pulse frequency, the output pulse frequency is determined; finally, the dose rate of the radiation beam emitted by the radiation source device is updated according to the output pulse frequency. The embodiments of the present invention determine the output pulse frequency based on the current actual dose, the current target dose, and the current pulse frequency, and update the dose rate of the radiation beam emitted by the radiation source device to continue irradiating the target area, so that during the radiotherapy process, the deviation degree between the actual radiotherapy effect and the result specified in the treatment plan is within the acceptable range.

Methods and systems for radiation treatment planning and delivery apply a CODA cube. Cost values in the CODA cube may be used in the optimization of couch, collimator, and gantry angles simultaneously. Trajectories generated using the CODA cube show significant benefits when compared to conventional VMAT. A statistically significant sparing to OAR maximum radiation doses was seen. CODA plans resulted in a reduction to maximum radiation dose in OARs of 20.6% (p<0.01), with maximum brainstem radiation dose decreased by 2.63 Gy (p=0.031) on average. Mean reduction in total MU was 8.6% (p=0.156), and a mean decrease in non-target brain tissue receiving 12 Gy or higher was 3.9% (p=0.16), when compared to standard VMAT methods (n=7).

The invention belongs to the field of radiotherapy, and provides a radiotherapy attitude monitoring method and system based on three-dimensional human skeleton tracking, electronic equipment and a storage medium, and the method comprises the steps: skeleton node information identification, projection coordinate data calculation, angle data calculation, risk point identification, rotation angle collection and collision risk judgment. According to the invention, space pose information analysis of key skeleton nodes is carried out by adopting an unmarked three-dimensional vision technology, and collision risk assessment is carried out in combination with the motion trail of the linear accelerator, so that a dangerous angle interval can be accurately predicted, a multi-stage early warning mechanism is triggered, and the safety and continuity of a treatment process are ensured; and treatment interruption caused by body position deviation or equipment interference is avoided.

The present invention relates to the field of radiation therapy and methods, software and systems for adaptive radiotherapy. There is provided a method for adaptive radiotherapy treatment of a patient comprising receiving a sequence of measurement data of the treatment, the measurements being captured at different time points, mapping measurement data to a representation of a treatment geometry at the time points, using the representation in a dynamical model describing how variables in the representation evolve over time, based on the dynamical model, estimating positions over time of the treatment geometry or selected parts of the treatment geometry, determining a treatment action for the patient at a defined time point using the estimation from the dynamical model and executing the treatment action at the defined time point.

The utility model discloses a compact multi-directional symmetric achromatic beam transmission system, which belongs to the field of radiotherapy and solves the problem that the existing proton beam transmission line is not compact and flexible enough in layout. According to the utility model, an initial deflection secondary magnet, a four-stage magnet A, a four-stage magnet B, a four-stage magnet C, a deflection secondary magnet A, a four-stage magnet D, a four-stage magnet E and a deflection secondary magnet B are sequentially arranged along a proton beam direction; the initial deflection second-stage magnet, the fourth-stage magnet A, the fourth-stage magnet B, the fourth-stage magnet C and the deflection second-stage magnet A are arranged in an axial symmetry manner to form a symmetric achromatic structure; the initial deflection second-stage magnet, the fourth-stage magnet A, the fourth-stage magnet B, the fourth-stage magnet D, the fourth-stage magnet E and the deflection second-stage magnet B are arranged in a central symmetry mode to form an antisymmetric achromatic structure. According to the utility model, the beam dispersion is eliminated while the beam is deflected to the auxiliary transmission section, so that the deflected beam can meet the requirements of a treatment terminal without passing through the dispersion eliminating structure again.

The present invention relates to the field of radiotherapy, and discloses a prostate implant guide plate and a manufacturing method thereof. The prostate implant guide plate includes an implant guide plate main body. One surface of the implant guide plate main body is a curved surface. A plurality of implant needle holes penetrating through the implant guide plate main body are arranged on the curved surface. A positioning anal plug is also arranged on the curved surface. The positioning anal plug is located on one side of the implant needle holes. A bed plate adaptation component for fixing to a treatment bed plate is further arranged at the bottom of the implant guide plate main body. In the present invention, the prostate implant guide plate is fixed on the treatment bed plate through the bed plate adaptation component. During the radiotherapy process, it is not necessary for a doctor to fix the prostate implant guide plate by hand-held means, which improves the stability of the prostate guide plate itself, reduces the operation difficulty of the doctor, improves the reset accuracy, inserts the positioning anal plug on the prostate implant guide plate into the rectum of the target patient, and increases the position stability between the prostate implant guide plate and the target patient, thereby ensuring the treatment effect of prostate tumors.

The utility model relates to a phantom measuring device of a laser positioning system, and belongs to the field of radiotherapy. The measuring phantom device of the laser positioning system comprises a phantom body and a fixing frame used for fixing the phantom body on one side of a bed board. According to the invention, a new die body is used, so that the test efficiency is remarkably improved. The complexity and time consumption of manual operation are reduced, so that the test can be completed in a shorter time, and the risk of human errors is reduced; the repeatability and reliability of the test result are high, the long-term stability and consistency of the laser positioning system can be verified, and powerful support is provided for clinical treatment.

The application discloses a new actinium structure material obtained through first principle calculation and prediction, and belongs to the technical field of nuclear medical radiotherapy. The structure has an international symbol of Rm, a space group of 166, belongs to a trigonal system, a lattice constant of a=b=c=9.98371 Å, and a cell angle of α=β=γ=23.3174°. Ac1 is located at (0, 0, 0) in the cell, Ac2 is located at (0.77754, 0.77754, 0.77754), and Ac3 is located at (0.22246, 0.22246, 0.22246), thereby forming a layered hexagonal stacking structure. The structure has a low energy under normal pressure and is more stable than a traditional Fmm structure considered to be stable. Based on density functional theory calculation, the structure material has metallic properties, can be used for targeted alpha therapy, causes malignant cell death through alpha particle release, and has potential application value in the field of nuclear medical imaging and radiotherapy.

The invention provides a body surface respiratory movement tracking system and method based on a position sensing mark, which are used in the field of radiotherapy, and are characterized in that a visual mark generated based on a visual position sensing coding technology is arranged on clothes worn by a patient; detection and three-dimensional reconstruction of body surface marks are achieved through a binocular vision system to obtain body surface point clouds under respiratory movement, dimension reduction and fusion of body surface feature point clouds are achieved through PCA for the body surface point clouds at different moments, and body surface respiratory signals capable of being used for tumor movement tracking are extracted.

This application discloses a method for predicting bladder volume between and within radiotherapy fractions, belonging to the field of precision radiotherapy. The method includes: acquiring a sequence of fan-beam CT images of multiple completed treatment fractions for a patient, including pre-treatment images, pre-exit images, and post-exit images for each fraction; segmenting the images into bladder regions to construct a temporal volume dataset; determining the predicted bladder volume before the next treatment fraction using an inter-fraction prediction model; and determining the predicted bladder volume at a specified time point during the current treatment fraction using an intra-fraction dynamics model. The input to the inter-fraction prediction model includes at least one of volume sequence, water intake information, and extracted features; the input to the intra-fraction dynamics model includes at least one of the current pre-treatment bladder volume and daily water intake information. This application achieves dual-timescale prediction of bladder volume, providing a prospective decision-making basis for adaptive radiotherapy and improving the accuracy and safety of radiotherapy.

The present disclosure relates to the field of radiotherapy, in particular, methods of and apparatus for treating cancer using ultra-high dose rate radiotherapy (FLASH). The apparatus may comprise a device configured to administer to the subject no more than five fractions of proton ultra-high dose rate radiotherapy (FLASH), said fractions having a range of radiation from 1.5 Gy to 60 Gy, collectively. The device may be configured such that the treatment is sufficient to prevent further growth of the tumor for at least 10% longer than standard of care radiotherapy, induce at least 10% more tumor regression than standard of care radiotherapy and / or delay tumor regrowth by at least about 2 months longer than standard of care radiotherapy.

The utility model discloses a compact multipurpose proton beam system, belongs to the field of radiotherapy, and solves the problem that the existing proton beam system has a single treatment terminal type. The superconducting isochronous cyclotron system is connected to the two-way selection system through the beam adjusting system, the two-way selection system comprises a two-way dipole magnet and two branch selection systems, and the two branch selection systems are connected to the rear end of the two-way dipole magnet in parallel. The system also comprises a beam transport system, and the beam transport system is composed of a first treatment terminal section, a second treatment terminal section and a third treatment terminal section. One branch selection system is connected to the fixed experiment beam transport system through the first treatment terminal section, the other branch selection system is connected to the fixed pen-shaped beam transport system through the second treatment terminal section, the third treatment terminal section is a branch of the second treatment terminal section, and the third treatment terminal section is connected to the rotary beam transport system. According to the utility model, the bidirectional selection system design is utilized, and multi-type and multi-purpose treatment terminal beam irradiation is realized.

The invention relates to the field of medical image processing and radiotherapy, in particular to an intelligent delineation and dose optimization system for a gastrointestinal tumor radiotherapy target region, and solves the problems that traditional manual delineation of the target region is high in subjectivity, dose optimization is difficult to balance target region coverage and organ protection, accurate boundary control is lacked and the like. The system comprises a medical image acquisition module, a target region intelligent sketching module, a dose optimization module based on functional analysis and a treatment plan generation module, collects CT, MRI and PET multi-modal medical images of a patient, identifies tumors and organs at risk by using a machine learning algorithm, converts discrete data into continuous function representation in a Hilbert space, and generates a treatment plan according to the continuous function representation. A multi-objective optimization function is constructed, optimization is realized through variational iteration and adaptive weight adjustment, a Sobolev space regularization technology is used to control a dose gradient, an executable treatment plan is finally generated, and target region sketching accuracy and dose optimization quality are improved.