Abstract: A radiotherapy system is provided. The radiotherapy system may include a treatment component, an imaging component, and a table being movable between the treatment component and the imaging component along a first direction in a first coordinate system. The table may have a plurality of cross sections perpendicular to the first direction. The table may include a positioning line that extends along the first direction and have a positioning feature. The positioning feature may have a plurality of feature values. Each feature value may correspond to one of the plurality of cross sections.

Abstract: The method may include obtaining a first set of imaging data affording a sagittal view relating to a subject and a first couch supporting the subject. The first couch may have a plurality of first positions reflected in the first set of imaging data as a first conformation. The method may also include determining a displacement field associated with a first set of imaging data with respect to the reference conformation based on the first conformation and a reference conformation. The method may further include adjusting the first set of imaging data with respect to the reference conformation based on the displacement field. In some embodiments, the method may include obtaining an image of the subject with respect to the reference conformation based on the adjusted first set of imaging data.

Abstract: The present disclosure is related to systems and methods for generating a radiation treatment plan for a treatment volume of a subject. The method includes retrieving a planning image of the treatment volume. The planning image may include a plurality of first voxels. The method also includes retrieving a treatment image that represents at least part of the treatment volume. The treatment image may include a plurality of second voxels. For at least one of the plurality of second voxels, the method further includes determining at least one reference voxel among the plurality of first voxels in the planning image and determining a dose value corresponding to the at least one second voxel. The method still further includes generating a radiation treatment plan based at least part on the dose value corresponding to the at least one second voxel.

Abstract: A radiotherapy system is provided. The radiotherapy system may include a treatment component, an imaging component, and a table being movable between the treatment component and the imaging component along a first direction in a first coordinate system. The table may have a plurality of cross sections perpendicular to the first direction. The table may include a positioning line that extends along the first direction and have a positioning feature. The positioning feature may have a plurality of feature values. Each feature value may correspond to one of the plurality of cross sections.

Abstract: The method may include obtaining a first set of imaging data affording a sagittal view relating to a subject and a first couch supporting the subject. The first couch may have a plurality of first positions reflected in the first set of imaging data as a first conformation. The method may also include determining a displacement field associated with a first set of imaging data with respect to the reference conformation based on the first conformation and a reference conformation. The method may further include adjusting the first set of imaging data with respect to the reference conformation based on the displacement field. In some embodiments, the method may include obtaining an image of the subject with respect to the reference conformation based on the adjusted first set of imaging data.

Abstract: Provided herein are methods and systems to train and execute a model that uses artificial intelligence methodologies to learn and predict dosages administrated to different structures during radiotherapy treatment. A method comprises receiving a value indicating a prioritization between a first organ at risk of a patient and a second organ at risk of the patient receiving radiation dosage; executing an artificial intelligence model using the value to predict a radiation dosage for the first organ at risk, the second organ at risk, and a target structure, wherein the artificial intelligence model is trained in accordance with a training dataset comprising a set of participants, dosage administered to the participant's target structure, first organ at risk, and second organ at risk; and outputting the predicted radiation dosage for at least one of the first organ at risk, the second organ at risk, and a target structure.

Abstract: The present disclosure is related to systems and methods for generating a radiation treatment plan for a treatment volume of a subject. The method includes retrieving a planning image of the treatment volume. The planning image may include a plurality of first voxels. The method also includes retrieving a treatment image that represents at least part of the treatment volume. The treatment image may include a plurality of second voxels. For at least one of the plurality of second voxels, the method further includes determining at least one reference voxel among the plurality of first voxels in the planning image and determining a dose value corresponding to the at least one second voxel. The method still further includes generating a radiation treatment plan based at least part on the dose value corresponding to the at least one second voxel.

Abstract: A radiation treatment system may include a gantry configured to rotate around an object, a treatment head moving with the gantry, a plurality of imaging radiation sources configured to emit imaging beams toward the object, and one or more first detectors configured to detect at least a portion of the imaging beams. When the treatment head is delivering a treatment beam to the object, the plurality of imaging radiation sources and the one or more first detectors may be positioned outside at least a portion of a maximum treatment radiation region so as not to interfere with the treatment beam. At least one of the plurality of imaging radiation sources and the one or more first detectors may be positioned at or near an edge of the maximum treatment radiation region.

Abstract: Disclosed herein are systems and methods for adaptively training machine learning models for auto-segmentation of medical images. A system executes a segmentation model that receives a medical image as input and generates an initial segmentation of the medical image for a radiotherapy treatment. The system identifies a corrected segmentation corresponding to the initial segmentation generated in response to an input at a user interface presenting the initial segmentation. The system fine-tunes the segmentation model based on the medical image and the corrected segmentation to generate a fine-tuned segmentation model.

Abstract: A system and method for generating augmented segmented image set obtain are provided. The method may include: obtaining a first image including a first anatomical structure of a first object; determining first feature data of the first anatomical structure; determining one or more first transformations related to the first anatomical structure, wherein a first transformation includes a transformation type and one or more transformation parameters related to the transformation type; applying the one or more first transformations to the first feature data of the first anatomical structure to generate second feature data of the first anatomical structure; and generating a second image based on the second feature data of the first anatomical structure.

Abstract: A method for adaptive treatment planning is provided. The method may include obtaining a planning image volume of a subject, a treatment image volume of the subject, and a first treatment plan related to the planning image volume of the subject, each of the planning image volume and the treatment image volume including an ROI of the subject. The method may also include registering the planning image volume and the treatment image volume, and determining a first contour of the ROI in the registered planning image volume and a second contour of the ROI in the registered treatment image volume. The method may also include evaluating whether an error exists in at least one of the registration or the contour determination based on the first contour and the second contour, and determining a second treatment plan with respect to the treatment image volume based on the evaluation result.

Abstract: A system for limited view imaging is provided. The system may obtain a reference image of an object. The system may identify, from the reference image, one or more critical boundaries between a target organ of the object and one or more adjacent organs of the target organ. The system may determine an imaging angle range of the object based on the one or more critical boundaries. The system may further cause an imaging device to scan the object based on the imaging angle range, the object being in a breath-hold state during the scan.

Abstract: A radiation treatment system may include a gantry configured to rotate around an object, a treatment head moving with the gantry, a plurality of imaging radiation sources configured to emit imaging beams toward the object, and one or more first detectors configured to detect at least a portion of the imaging beams. When the treatment head is delivering a treatment beam to the object, the plurality of imaging radiation sources and the one or more first detectors may be positioned outside at least a portion of a maximum treatment radiation region so as not to interfere with the treatment beam. At least one of the plurality of imaging radiation sources and the one or more first detectors may be positioned at or near an edge of the maximum treatment radiation region.

Abstract: A method for determining a deformation measurement of a couch in a medical procedure may include determining a first deformation measurement of the couch at a reference point, the first deformation measurement corresponding to a first working position of the couch. The method may also include determining a second deformation measurement of the couch at the reference point, the second deformation measurement corresponding to a second working position of the couch. The method may further include determining a difference between the first deformation measurement and the second deformation measurement and causing an adjustment of one of the first working position and the second working position of the couch based on the difference between the first deformation measurement and the second deformation measurement.

Abstract: Systems and methods for determining a target region of interest (ROI) for image registration is provided. The methods may include obtaining a target image of a subject including a target portion of the subject and obtaining feature information related to a movement of one or more feature portions of the subject. The methods may further include identifying, from the one or more feature portions, one or more reference portions of the subject based on the feature information. A position of the target portion of the subject is unrelated to a movement of the one or more reference portions. The methods may further include determining, in the target image, the target ROI based on corresponding feature information related to the one or more reference portions.

Abstract: A system for limited view imaging is provided. The system may obtain a reference image of an object. The system may identify, from the reference image, one or more critical boundaries between a target organ of the object and one or more adjacent organs of the target organ. The system may determine an imaging angle range of the object based on the one or more critical boundaries. The system may further cause an imaging device to scan the object based on the imaging angle range, the object being in a breath-hold state during the scan.

Abstract: The method may include obtaining a first set of imaging data affording a sagittal view relating to a subject and a first couch supporting the subject. The first couch may have a plurality of first positions reflected in the first set of imaging data as a first conformation. The method may also include determining a displacement field associated with a first set of imaging data with respect to the reference conformation based on the first conformation and a reference conformation. The method may further include adjusting the first set of imaging data with respect to the reference conformation based on the displacement field. In some embodiments, the method may include obtaining an image of the subject with respect to the reference conformation based on the adjusted first set of imaging data.

Abstract: A method for clinical target contouring in radiotherapy may include obtaining one or more target images of a subject. The subject may include a target region to which a radiation treatment is directed. The method may also include obtaining a target volume segmentation model having been trained according to a machine learning technique. The method may further include determining boundary information relating to a target volume, the target volume including at least part of the target region based on the one or more target images and the target volume segmentation model.

Abstract: A system, medium, and method including obtaining a plurality of positions for multiple components defined by a plan; obtaining a set of constraints that express limitations for the multiple components at the plurality of positions, the constraints being applicable to a plan where the multiple components synchronously change their positions with time to traverse a prescribed sequence of the plurality of positions, at least one of the multiple components being further constrained to change its position over time by staying within a predefined tolerance to a predefined smooth function of position over time between different positions; determining a trajectory of position and a minimum duration in which the multiple components completely synchronously traverse the prescribed sequence of positions while satisfying the constraints for the multiple components; and generating a record of the determined trajectory of position and the minimum duration for the plurality of components.

Abstract: A method may include obtaining input data relating to a target treatment plan for performing radiotherapy on a lesion using a radiation device. The input data may include a first target image of the lesion. The method may also include obtaining a segment shape estimation model. The method may also include estimating, based on the segment shape estimation model and the input data, a plurality of target location combinations of the target treatment plan and a plurality of target segment shapes of a collimator of the radiation device. One of the plurality of target location combinations may indicate a location of the collimator relative to the lesion. Each of the plurality of target segment shapes may correspond to one of the plurality of target location combinations.