Methods and devices for controlling movement of a carriage of a multi-leaf collimator are provided. In one aspect, a method includes obtaining a desired position of each of a set of leaves on the carriage in each of a plurality of segments from a field, determining an allowable moving range set of the carriage according to the desired position, the allowable moving range set including a respective allowable moving range of the carriage in each of the segments, determining a respective position of the carriage in each of the segments according to the allowable moving range set, and controlling the movement of the carriage according to the determined positions of the carriage in the segments.

The invention relates to a system for determining a radiation therapy plan for a radiation therapy system (100), comprising a multi-leaf collimator. The radiation therapy plan determination system (110) comprises a therapy system characteristics providing unit (111), wherein the characteristics comprise possible leaf positions and possible radiation fluence values, a planning objectives providing unit (112), wherein the planning objectives are indicative of a desired therapeutic radiation dose distribution, an optimization function providing unit (113), wherein the optimization function is indicative of a deviation of a radiation dose distribution from the planning objectives and of an uncertainty of the radiation dose distribution at edges of the possible apertures, and a therapy plan optimization unit (114) adapted to determine a sequence of possible apertures and possible radiation fluence values for which the optimization function is optimized. Thus, an optimal therapy plan can be provided for each individual patient.

A system and method for delivering radiation therapy to a patient includes generating a radiation therapy plan and adjusting a shape of at least one of a plurality of multi-leaf collimators (MLCs) arranged in an arc about a patient bed to create a respective plurality of desired beam profiles for each of the plurality of MLCs to thereby implement the ultrafast radiation therapy plan delivery. The method further includes control a radiation therapy source to execute the radiation therapy plan by creating the respective plurality of desired beam profiles for each of the plurality of MLCs.

Systems and method for generating and executing volumetric modulated arc therapy (“VMAT”) plans are provided. In some aspects, the method includes receiving a representation of a subject comprising information related to target and non-target volumes of interest, and generating an objective function based on the representation of the subject, wherein the objective function accounts for dynamic collimator rotation. The method also includes performing an iterative optimization process, using the objective function, to generate a dynamic collimator VMAT plan, and generating a report in accordance with the dynamic collimator VMAT plan.

Methods of treatment trajectory optimization for radiotherapy treatment of multiple targets include determining beam's eye view (BEV) regions and a BEV region connectivity manifold for each target group of a plurality of target groups separately. The information contained in the BEV regions and the BEV region connectivity manifolds for all target groups is used to guide an optimizer to find optimal treatment trajectories. To improve the visibility of insufficiently exposed voxels of planning target volumes (PTVs), a post-processing step may be performed to enlarge certain BEV regions, which are considered for exposing during treatment trajectory optimization.

Methods of beam angle optimization for intensity modulated radiotherapy (IMRT) treatment include determining beam's eye view (BEV) regions and a BEV region connectivity manifold by evaluating dose response of each region of interest for each vertex in a delivery coordinate space (DCS). The information contained in the BEV regions and the BEV region connectivity manifold is used to guide an optimizer to find optimal field geometries in the IMRT treatment. To improve the visibility of insufficiently exposed voxels of planning target volumes (PTVs), a post-processing step may be performed to enlarge certain BEV regions, which are considered for exposing during treatment trajectory optimization.

A memory has a fluence map that corresponds to a particular patient stored therein. This memory also has at least one deep learning model stored therein trained to deduce a leaf sequence for a multi-leaf collimator from a fluence map. A control circuit operably coupled to that memory iteratively optimizes a radiation treatment plan to administer therapeutic radiation to that patient by, at least in part, generating a leaf sequence as a function of the at least one deep learning model and the fluence map that corresponds to the patient.

The present disclosure provides a system and method for generating radiation treatment plan. The method may include obtaining a plurality of beam angles of an arc for radiation treatment and preliminary segment parameters of control points associated with the plurality of beam angles. The method may also include grouping the plurality of beam angles into at least two sets so that each pair of two consecutive beam angles of the plurality of beam angles belong to different sets of the at least two sets, and determining the target segment parameters of the control points in each of the at least two sets by optimizing, based on a leaf motion constraint, the preliminary segment parameters of the control points associating with the plurality of beam angles. The method may further include generating a treatment plan based on the target segment parameters.

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.

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.