The present disclosure provides a radiation method for radiating a fluence map having a zero-fluence region under a movement of MLC (Multi-Leaf Collimator) includes a determining step of determining at least one basic fluence map from the fluence map. The basic fluence map includes a first non-zero fluence region and a second non-fluence region having the zero-fluence region therebetween. The radiation method includes a first radiating step including radiating the first non-zero fluence region, along with moving a first group of leaf pairs and moving a vertical jaw to shade the first group of leaf pairs, and a second radiating step including radiating the second non-zero fluence region, along with moving a second group of leaf pairs and withdrawing the vertical jaw to expose the second group of leaf pairs.

Systems and methods for shuttle mode radiation delivery are described herein. One method for radiation delivery comprises moving the patient platform through the patient treatment region multiple times during a treatment session. This may be referred to as patient platform or couch shuttling (i.e., couch shuttle mode). Another method for radiation delivery comprises moving the therapeutic radiation source jaw across a range of positions during a treatment session. The jaw may move across the same range of positions multiple times during a treatment session. This may be referred to as jaw shuttling (i.e., jaw shuttle mode). Some methods combine couch shuttle mode and jaw shuttle mode. Methods of dynamic or pipelined normalization are also described.

The disclosure provides systems and methods for adjusting a multi-leaf collimator (MLC). The MLC includes a plurality of cross-layer leaf pairs, each cross-layer leaf pair of the plurality of cross-layer leaf pairs includes a first leaf located in a first layer of leaves and a second leaf opposingly located in a second layer of leaves. For at least one cross-layer leaf pair, an effective cross-layer leaf gap to be formed between the first leaf and the second leaf may be determined; at least one of the first leaf or the second leaf may be caused to move to form the effective cross-layer leaf gap; and an in-layer leaf gap may be caused, based on the effective cross-layer leaf gap, to be formed between the first leaf and an opposing first leaf in the first layer. A size of the in-layer leaf gap may be no less than a threshold.

The invention discloses an orthogonal dual-layer grating dynamic intensity modulation segmentation method based on quadrant, specifically include the following steps: S1: the fluence distribution under each beam is calculated through the radiation treatment planning system; S2: use orthogonal double-layer collimator for fluence segmentation; S3: divide the quadrant, divide the field surrounded by the upper, lower, left and right leaves into at least two quadrants, to obtain the fluence distribution and the corresponding leaf sequence of each quadrant; S4: perform regional planning of the fluence in each quadrant to obtain multiple different regions and determine the segmentation mode of different regions; S5: for any quadrant, use two mutually orthogonal leaf groups for segmentation. The present invention completes the dynamic segmentation of any shape target area and multiple target areas through the mutual cooperative movement of the upper and lower layers of orthogonal leaves, realizes the dynamic segmentation of the upper and lower layers of the orthogonal dual-layer collimator from two directions, avoids the end surface perspective between the leaves, and improves the segmentation efficiency.

The present disclosure discloses a standardized artificial intelligence automatic radiotherapy planning method and system, wherein the radiation therapy planning method includes: acquiring a medical image; automatically delineating an ROI area of the medical image to acquire a geometric anatomical structure; determining a prescription according to disease type information corresponding to the medical image, the geometric anatomical structure, and a preset disease-prescription template library, and determining a radiation angle of radiation therapy; obtaining a radiation therapy dose distribution result using a dose prediction model; performing optimization processing using a reverse optimization algorithm based on dose distribution or DVH guidance, with reference to the radiation dose distribution result, to generate executable radiation therapy plans. The technical solution of the present disclosure realizes fully automatic dose prediction, improves efficiency and effect of dose prediction, so that an executable radiation therapy plan can be generated quickly and with high quality, with good accuracy, stability and standardization, and can edit and adjust the dose distribution visually and directly, greatly improving efficiency of plan design.

A tool for radiation therapy simulation or planning is disclosed which aids in avoiding collisions during treatment. Configurations of components including at least a radiation delivery device (30) and a patient (32) are generated. Each configuration defines positions of the components in a common coordinate system. For each configuration, proximities of pairs of components of the configuration are computed using ray tracing between three-dimensional surface models (30m, 32m, 36m, 38m) representing the components of the pair. A collision is identified as any pair of components having a computed proximity that is less than a margin for the pair of components. Each identified collision is displayed on a display (12), e.g. as a rendering. The simulations or planning may be used to verify deliverability of arc, 4Pi, or static therapy, to determine safety margins for collisions, to calculate and display realizable trajectories, and so forth.

Disclosed herein are systems and methods for guiding the delivery of therapeutic radiation using incomplete or partial images acquired during a treatment session. A partial image does not have enough information to determine the location of a target region due to, for example, poor or low contrast and/or low SNR. The radiation fluence calculation methods described herein do not require knowledge or calculation of the target location, and yet may help to provide real-time image guided radiation therapy using arbitrarily low SNR images.

A method for delivering radiation treatment may include defining a preliminary trajectory including a plurality of control points. Each control point may be associated with position parameters of a gantry and a couch. The method may also include generating a treatment plan based on the preliminary trajectory by optimizing an intensity and position parameters of a collimator and MLC leaves for each control point. The method may also include decomposing the treatment plan into a delivery trajectory including the plurality of control points. Each of the plurality of control points may be further associated with the optimized intensity, the optimized position parameters of the collimator and the MLC leaves, an output rate, and a motion parameter of each of the gantry, the couch, the collimator, and the MLC leaves. The method may further include instructing a radiation delivery device to deliver the treatment plan according to the delivery trajectory.

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.

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.