66 results about "Adaptive radiotherapy" patented technology

A method of treating an object with radiation that includes generating volumetric image data of an area of interest of an object and emitting a therapeutic radiation beam towards the area of interest of the object in accordance with a reference plan. The method further includes evaluating the volumetric image data and at least one parameter of the therapeutic radiation beam to provide a real-time, on-line or off-line evaluation and on-line or off-line modification of the reference plan.

Radiation treatment is delivered to a patient by positioning the patient such that a radiation beam is delivered to a lesion within the patient along a beam-delivery path while securing a diagnostic imaging device about the patient such that the diagnostic imaging device does not intersect the beam-delivery path. Radiation therapy is simultaneously delivered along the beam-delivery path while diagnostic images are obtained using the imaging device.

The invention provides an optimization method and an optimization system for adaptive radiotherapy. The method comprises the following steps that: an initial anatomical structure of a patient is determined; an initial scheme applicable to initial irradiation is determined on the basis of the initial anatomical structure; fluence map optimization is carried out according to the initial anatomical structure to obtain fluence map distribution; before each time of multi-time irradiation, a current anatomical structure of the patient is determined, and the fluence map optimization is carried out according to the current anatomical structure to obtain the fluence map distribution of the current time irradiation; the fluence map distribution of the current time irradiation and the fluence map distribution of the reference irradiation are registered to obtain a deformation matrix, wherein the reference irradiation is any one irradiation before the current time irradiation; the deformation matrix is used for correcting the sub field shape of the reference irradiation to obtain the sub field shape of the current time irradiation; and a sub field weight optimization algorithm is adopted for determining the sub field weight of the current time irradiation. The optimization method and the optimization system can more precisely and fast determine the sub field shape in the multi-time radiotherapy scheme.

The invention discloses an image guide and breathing exercise analysis method. According to the image guide and breathing exercise analysis method, on the basis of two patient positioning ways of a cross positioning two-dimensional X-ray image and a three-dimensional CBCT (Cone Beam Computed Tomography) image, patient positioning and adaptive radiotherapy analysis can be quickly and precisely performed before treatment by utilizing the three-dimensional CBCT image, and online monitoring of the patient posture change and real-time tracing of moving tissues can be performed under treatment by utilizing the cross positioning two-dimensional X-ray image. In addition, an individualized positioning method can be established aiming at different patients and different treatment positions.

Radiation treatment methods for breast cancer following resection, both intraoperative and post operative, involve mapping preferably using an electronic x-ray source, and can include rotation of a direction source. By using a very rapid, near-instantaneous method of pathology of tissue margins following resection, the invention carries out intraoperative radiation treatment, preferably with the patient remaining anesthetized. Whether or not radiation is intraoperative, the invention preferably includes a mapping procedure using an electronic source that is progressed through the resection cavity while radiation dose is sensed at one or more points, to determine the shape of the resection cavity.

A method of multileaf collimator (MLC) leaf positioning in tracking-based adaptive radiotherapy is provided. The method includes determining a radiotherapy beam pattern by transforming a treatment beam plan into radiotherapy beam coordinates, determining a dose discrepancy between the radiotherapy beam pattern and a deliverable MLC aperture, where the dose discrepancy includes a sum of an overdose cost and an underdose cost to a treatment volume, and minimizing the dose discrepancy, where the dose discrepancy minimization provides a determined deliverable MLC aperture for the radiotherapy beam.

A system and method for validating the accuracy of delineated contours in computerized imaging using statistical data for generating assessment criterion that define acceptable tolerances for delineated contours, with the statistical data being conditionally updated and/or refined between individual processes for validating delineated contours to thereby adjust the tolerances defined by the assessment criterion in the stored statistical data, such that the stored statistical data is more closely representative of a target population. The present invention may be used to facilitate, as one example, on-line adaptive radiation therapy.

The invention relates to a precise control method of a radio-therapeutic apparatus during adaptive radiotherapy of an ocular tumor. An accelerator is gated during adaptive radiotherapy of the ocular tumor; when the position of the ocular tumor is deviated from a planned position, operation of the accelerator is stopped, and damage of radio-therapeutic rays on normal ocular cells is prevented; andwhen the position of the ocular tumor returns to the planned position, operation of the accelerator is recovered, and precise radiotherapy of the ocular tumor is realized. During radiotherapy of the ocular tumor, automatic tracking adaption of a multi-leaf collimator is realized, the multi-leaf collimator can track and adjust the position in real time according to the real-time position of the ocular tumor, and precise adaptive radiotherapy of the ocular tumor is realized. A gated therapeutic system of the ocular tumor and the automatic tracking system of the multi-leaf collimator can be designed and used for precise positioning radiotherapy of the ocular tumor, the social and economical benefit is high, complication of radiotherapy is reduced, and the life quality of patients is improved.

Systems and methods for accelerated online adaptive radiation therapy (“ART”) are described. The improvements to online ART are generally provided based on the use of textural analysis and machine learning algorithms implemented with a hardware processor and a memory. The described systems and methods enable more efficient and accurate online adaptive replanning (“OLAR”), which can also be implemented in clinically acceptable timeframes. For example, OLAR can be reduced from taking 10-30 minutes down to 5-10 minutes.

The invention discloses a multi-degree-of-freedom cone-beam CT imaging system in the field of CT imaging technology, which includes: a six-axis mechanical arm, a C-shaped bracket with a translation device, a flat panel detector bracket with a double translation device and a rotation device, and The X-ray light source, wherein: the end of the six-axis mechanical arm is connected to the C-shaped support, and the two ends of the C-shaped support are respectively connected to the flat panel detector support and the X-ray light source. The device involved in the present invention has high flexibility, and can realize multiple scanning modes of cone beam CT axial scanning, helical scanning and non-coplanar scanning, as well as functions such as online real-time adjustment of imaging geometric parameters, and has flexible scanning methods, wide scanning range, With outstanding advantages such as adjustable imaging parameters, it is suitable for applications such as precise intraoperative navigation, adaptive radiation therapy, and early tumor screening and diagnosis.

The invention discloses a dose-guided self-adaptive radiotherapy planning re-optimization system and method. The system includes a guide module, a data processing module, a plan re-optimization judgment module and a plan re-optimization module. The guide module is used for guiding the reference image, anatomical structure, planning and dose information of a research object, and an image for guiding precise positioning during current fractional treatment; the data processing module is used for calculating the anatomical structure of the current image and the anatomical structure of a referenceimage; the plan re-optimization judgment module is used for judging whether to enter the plan re-optimization module or not according to the anatomical structure change, the actual dose received by patients is compared with the planned dose if the anatomical structure change is within the threshold, re-optimization is needed if there are great difference between the actual dose and the planned dose, otherwise, an original reference plan is used as the current treatment plan. The plan re-optimization not only considers the difference between the current anatomical structure and the original anatomical structure, but also uses the fast conjugate gradient algorithm to automatically optimize the plan according to the actual dose received by the research object.

The invention provides a method for migrating radiotherapy plans on a Pinnacle therapy planning system. The method includes steps of 1), setting irradiation isocenter points on reduction CT (computed tomography) image spaces according to first-time radiotherapy plants; 2), executing script programs and exporting irradiation field parameters in the first-time radiotherapy plans; 3), executing script programs and importing the irradiation field parameters of the first-time radiotherapy plans into the reduction CT image spaces; 4), executing script programs, setting weights of various irradiation fields of the radiotherapy plans imported into the reduction CT image spaces and migrating the radiotherapy plans in the different CT image spaces. The method has the advantages that distribution conditions of projection dose in the bodies of patients according to the first-time radiotherapy plans can be represented in the reduction CT image spaces by the aid of the method, accordingly, the human organ radiated dose evaluation flexibility and precision of the Pinnacle therapy planning system can be improved, radiotherapy doctors and radiation physicists can conveniently and quickly develop adaptive radiotherapy on the patients by the aid of the Pinnacle therapy planning system, and individual therapeutic schemes can be formulated for the patients by the radiotherapy therapists and the radiation physicists by the aid of the Pinnacle therapy planning system.

The invention relates to a vertical adaptive radiotherapy system, which comprises an imitative positioning device, a treatment plan design device and a vertical treatment device, wherein the imitativepositioning device comprises one or more medical image devices and is used for collecting patient positioning images of patients in horizontal or other body positions; the treatment plan design device comprises an image registration module, an image density setting module, a region of interest definition module, an optimized parameter setting module and a dose calculation module; and the verticaltreatment device comprises a vertical positioning module, a vertical imaging module and a beam treatment module, and is used for carrying out body position fixing, online image acquisition and radiotherapy on a patient in a standing or sitting posture. The invention also relates to a vertical adaptive radiotherapy method. According to the invention, dose deviations caused by inconsistent body positions of a patient during imitative positioning and treatment and changes of anatomical structures in and among several times are fully considered, which is of great significance to improvement of the curative effect of a patient.

The invention discloses a high-fidelity belly deformation mold for verifying precision of a deformable registration algorithm and a preparing method thereof. The preparing method for the high-fidelity belly deformation mold comprises the following steps of 1), preparing a three-dimensional mold which has high similarity to the outer contour of human body belly organs according to a computed tomography (CT) image of a belly tumor patient; 2) preparing simulated organs with CT numbers which approach the CT numbers of the organs; 3) preparing a simulated rigid bone; and 4) preparing a belly outer contour mold, placing the simulated organs and the simulated rigid bone into the mold, injecting PVC polymerization solution for performing injection molding, and arranging marking points and thermoluminescence agent films. The main organs in the mold have CT numbers which are similar with the CT number of human body organs and can simulate deformation of belly organs in a relatively real manner. Through arranging marking points and the thermoluminescence agent films in organs and portions among the organs, geometrical precision verification of the deformable registration algorithm and agent superposing precision verification in adaptive radiotherapy can be performed. High mold resilience and high reproducibility after deformation are realized.

A radio therapy apparatus (100) includes a tissue of interest tracker (124) that receives a first image of tissue of interest and a second later acquired spectral image of the tissue of interest and tracks a change in a geometry and/or location of the tissue of interest based at least on the first and second images and generates a signal indicative of the change. The second image is generated based on a first spectral signal corresponding to an output of an energy-resolving radiation sensitive detector array for a first predetermined energy range and a second spectral signal corresponding to an output of the energy-resolving radiation sensitive detector array for a second predetermined energy range and visually enhances scanned structure corresponding to the first or second signals while visually suppressing scanned structure corresponding to the other of the first or second signals. An adaptive planner (126) updates a radiotherapy treatment plan based on the signal.

Described herein is a system and method of controlling real-time image-guided adaptive radiation treatment of at least a portion of a region of a patient. The computer-implemented method comprises obtaining a plurality of real-time image data corresponding to 2-dimensional (2D) magnetic resonance imaging (MRI) images including at least a portion of the region, performing 2D motion field estimation on the plurality of image data, approximating a 3- dimensional (3D) motion field estimation, including applying a conversion model to the 2D motion field estimation, determining at least one real-time change of at least a portion of the region based on the approximated 3D motion field estimation, and controlling the treatment of at least a portion of the region using the determined at least one change.

When registering multiple multidimensional images based on landmarks, the system improves the distribution and density of the points in correspondence across images, which are of crucial importance for the accuracy and reliability of the resulting registration transform. Projection of input corresponding point landmarks is performed in order to automatically generate additional point correspondences. The input existing landmarks may have been manually or automatically located in the input multiple images. Projection is performed from each source landmark along one or more determined projection directions onto one or more determined projection targets in each image. The projection target(s) can be explicitly materialized or implicitly defined. Candidate new points are identified at the locations where the projection ray paths intersect with the projection target(s). Correspondence between the new points across images is transferred from the input landmarks from which they have been projected, with further distinction by projection direction and/or projection target in the case where a plurality of these was used. Subsequent registration can use all or a selected subset of all combined input landmark correspondences and correspondences between additional projected landmark points. The additional correspondences between projected landmark points contribute in refining the image registration. Such accurate, efficient and robust tools for image registration and any downstream processing, such as contour propagation or image fusion, are highly demanded for various medical applications, such as adaptive radiotherapy.

Disclosed herein are systems and methods for adapting and/or updating radiotherapy treatment plans based on biological and/or physiological data and/or anatomical data extracted or calculated from imaging data acquired in real-time (e.g., during a treatment session). Functional imaging data acquired at the time of radiation treatment is used to modify a treatment plan and/or dose delivery instructions to provide a prescribed dose distribution to patient target regions. Also disclosed herein are methods for evaluating treatment plans based on imaging data acquired in real-time.

The invention belongs to the technical field of radiotherapy, and relates to a self-adaptive radiotherapy structure automatic sketching method and device, and a storage medium. The method comprises the following steps: inputting patient data; preprocessing the medical image of the patient; classifying and positioning a human organ structure in the patient image by using a first-stage deep neural network; segmenting and sketching the human organ structure by using a second-stage deep neural network according to the classification and positioning result; and outputting the segmentation and sketching result. The self-adaptive radiotherapy structure automatic sketching method provided by the invention gives full play to the advantages of full-automatic rapid calculation of image classificationand segmentation by the deep neural network, avoids manual intervention in the classification and segmentation process of the radiotherapy structure, and can complete full-automatic sketching processing according to the image data, the self-adaptive scanning part and the organ structure. The time of dozens of minutes or even hours of traditional sketching work needing manual intervention is shortened to several minutes.