The present disclosure relates to a collimator. The collimator may include a motor, a transmission unit having a first end and a second end, and a leaf unit having a leaf. The first end of the transmission unit may be connected to the motor and the second end of the transmission unit may be connected to the leaf. The present disclosure also relates to a collimator system. The collimator system may include a leaf module having a leaf, a driving module having a motor configured to drive the leaf, and a processing module to generate a movement profile of the leaf. The movement profile of the leaf may include a first speed during a first stage, a second speed of the leaf during a second stage, and a third speed of the leaf during a third stage.

A radiation-treatment plan that comprises a plurality of dose-delivery fractions can be optimized by using fraction dose objectives and at least one other, different dose objective. This use of fraction dose objectives can comprise accumulating doses delivered in previous dose-delivery fractions. The other, different dose objective can comprise a remaining total dose objective, a predictive dose objective, or some other dose objective of choice. An existing radiation-treatment plan having a corresponding resultant quality and that is defined, at least in part, by at least one delivery parameter can be re-optimized by specifying at least one constraint as regards that delivery parameter as a function, at least in part, of that resultant quality and then applying that constraint when re-optimizing the existing radiation-treatment plan.

The invention discloses a dynamic intensity-modulated segmentation method for an orthogonal double-layer grating blade device. The core of the segmentation algorithm is to construct a virtual single-layer grating after the velocities of the two-layer gratings are synthesized to perform dynamic intensity modulation of the single-layer grating (sliding-window) segmentation, and finally use two layers of gratings to conform to each segment. In order to reduce the segmentation error, the invention provides two optimization methods: blade motion trajectory optimization method and segment weight optimization method. The blade motion trajectory optimization method is to optimize the objective function under certain constraints with the motion trajectory of each blade as a variable under the condition that the segment weight is fixed. Segment weight optimization method is to optimize the time points of each segment when the blade motion trajectory is fixed. Both of the two optimization methods can reduce the error of the segmentation intensity and improve the optimization effect.

A heavy-particle treatment system exposes a patient's treatment volume, during the course of a single treatment session, to beams of heavy particles from a variety of different angles. The source of heavy particles may rotate about the patient to facilitate that variety of different angles. The foregoing can occur pursuant to a treatment plan that accounts for a penetration range as corresponds to the beams of heavy particles and for using at least one lateral beam controlling device to control at least one of the beams of heavy particles.

Systems, methods, and related computer program products for image-guided radiation treatment (IGRT) are described. For one preferred embodiment, an IGRT apparatus is provided comprising a ring gantry having a central opening and a radiation treatment head coupled to the ring gantry that is rotatable around the central opening in at least a 180 degree arc. For one preferred embodiment, the apparatus further comprises a gantry translation mechanism configured to translate the ring gantry in a direction of a longitudinal axis extending through the central opening. Noncoplanar radiation treatment delivery can thereby be achieved without requiring movement of the patient. For another preferred embodiment, an independently translatable 3D imaging device distinct from the ring gantry is provided for further achieving at least one of pre-treatment imaging and setup imaging of the target tissue volume without requiring movement of the patient.

System, method, and computer program product to select a desired portion of a subject to receive a radiation dose, including: determining a plurality of Pareto points on a Pareto surface (PS); selecting a first reference point (p.sub.1) on a back side of an assumed Pareto surface (PS′) and first direction (q.sub.1) emerging therefrom towards PS′ from behind; selecting a first starting adjustment (x.sub.10) and iteratively developing forward a minimum criterion in steps until a final adjustment (x.sub.11) is reached that still is implementable in the radiation apparatus; stopping the forward development, thereby determining x.sub.11 represented by a final front point (y.sub.11) as a real Pareto point of PS′; and along q.sub.1, dismissing undetermined portions of the objective space in front of and behind y.sub.11 as not containing parts of the PS, and continuing with other remaining more determined portions that are assumed to each contain a part of PS′.

Systems and methods arc disclosed for generating radio-therapy treatment machine parameters based on projection images of a target anatomy. The systems and methods include receiving an image depicting an anatomy of a subject: generating a first projection image based on the received image that represents a view of the anatomy from a first gantry angle of tire radiotherapy treatment machine; applying a machine learning model to the first projection image to estimate a first graphical aperture image representation of multi-leaf collimator (MLC) leaf positions at the first gantry angle and the radiation intensity at that angle, the machine learning model being trained to establish a relationship between projection images representing different views of a patient anatomy and respective graphical aperture image representations of the MLC leaf positions at different gantry angles corresponding to the different views: and generating radiotherapy treatment machine parameters based on the first graphical aperture image representation.

An apparatus for developing an intensity-modulated radiation therapy treatment plan includes a memory that stores machine instructions and a processor that executes the machine instructions to receive a clinical goal associated with the treatment plan as a user input. The processor further executes the machine instructions to determine a plan objective based on the clinical goal, generate a cost function comprising a term based on the plan objective, and assign an initial value to a parameter associated with the term. The processor also executes the machine instructions to identify a microstate that results in a reduced value associated with the cost function, evaluate a fulfillment level associated with the clinical goal, and adjust the value of the parameter to improve the fulfillment level.

Method and apparatus (DMS) for dosage management in radiation therapy planning and/or delivery. Images of a region of interest ROI are acquired at different times. A registration transformation is computed that deforms one of the two images into the other. A magnitude of the transformation is then computed based on a suitable metric. If the computed magnitude is found to comply with a pre-defined criterion, the transformation is used to deform a dose distribution map and compute, based on the deformed dose map, therefrom a new fluence map.

A method includes detecting a potential setup error in a radiation treatment delivery session of a radiation treatment delivery system, wherein the setup error corresponds to a change in a current position of a treatment target relative to a prior position of the treatment target, and wherein the change includes a rotation relative to the prior position of the treatment target. The method further includes modifying, by a processing device, one or more planned leaf positions of a multileaf collimator (MLC) of a linear accelerator (LINAC) of the radiation treatment delivery system to compensate for the potential setup error corresponding to the rotation of the prior position of the treatment target.