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′.

The invention designs a segmented short-arc VMAT plan, modified from the original VMAT plan, to fit the breath-hold interval. The modified VMAT of the invention has the advantages of its applicability to different planning systems for variously long arcs and its preprogrammed arc segmentation for summated dose consistency. The present invention provides a method and a system for use in administering radiation therapy to patients using a radiotherapeutic apparatus with gantry rotation, and also meets the requirements for dose planning and accurate delivery, as well as coordinates patient's breath-hold level.

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 IGRT apparatus comprising a medical imaging device (1) integrated with a linear accelerator (3, 4), the linear accelerator (3, 4) configured for emitting a radiation beam which is shaped by a beam shaper (8, 17), wherein the position of the beam shaper (8, 17) is adjustable between a first position and a second position, wherein the first position is a treatment position and the second position is a non-treatment position and wherein the IGRT apparatus comprises a gantry (2) and wherein the first position is within the gantry (2) and the second position is removed from the gantry (2).

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.

A method of radiotherapy treatment planning for particle-based arc treatment comprises the steps of determining (S11; S21) an initial set of candidate energy layers, performing a calculation on the initial set, determining (S13; S23), based on the outcome of said calculation, at least one additional energy layer to produce an expanded candidate layer set, wherein the at least one additional energy layer involves an energy level that has not previously been used adding (S14; S24) the at least one additional energy to the initial set, to produce an expanded candidate energy layer set optimizing (S16; S26) a radiotherapy treatment plan based on the expanded candidate layer set.

A control circuit access information corresponding to patient geometry information for a particular patient. The control circuit then provides that information, along with at least one variable that is unrelated to that particular patient, as input to a field geometry generator. The field geometry generator can comprise a neural network trained in a conditional generative adversarial networks (GAN) framework as a function of previously-developed field geometry solutions for a plurality of different patients. In such a case the information corresponding to the patient geometry information for the particular patient can serve as conditional input to the neural network. So configured, the control circuit can then process the foregoing input using the field geometry generator to thereby generate the therapeutic radiation delivery field geometry for the particular patient.

A particle beam therapy apparatus has a position and posture setter that moves a movable body, that is at least one of the irradiation nozzle and the treatment table. A movement path of the movable body is determined when adapting the positional posture of the movable body from one condition among a plurality of prescribed conditions to another condition. An evaluation value is obtained for adapting the positional posture of the movable body to each of a plurality of prescribed conditions. This evaluation value is for a case of moving the movable body according to the movement path. A setting order is determined for adapting the positional posture of the movable body to each prescribed condition based on the evaluation value; and the positional posture of the movable body is adapted to each of the plurality of prescribed conditions by moving the movable body according to the determined movement path.

A control circuit forms a radiation therapy treatment plan by automatically generating a base dose that references dosing information from multiple sources and then using that base dose to optimize a radiation therapy treatment plan. That radiation therapy treatment plan is then used to administer radiation therapy to a patient. That automatically generated base dose can represent any or all of earlier radiation therapy treatments for the patient, a same fraction as a dose presently being optimized per the radiation therapy treatment plan, and future planned fractions for the patient.

The invention relates a system for assisting in planning a radiation therapy treatment provided using a treatment plan comprising irradiation parameters for controlling a delivery of radiation. The system is configured to (i) receive a first dose distribution, (ii) obtain a first objective function, which depends upon at least one parameter and a dose distribution, (iii) determine a first value of the parameter such that the first objective function fulfills a predefined criterion when being evaluated for the first value of the parameter and for a second dose distribution derived from the first dose distribution, (iii) provide the first objective function in connection with the first value of the at least one parameter to a user for modifying the first objective function to generate a second objective function, and (v) determine the treatment plan using the second objective function. Further, the invention relates to a corresponding method and computer program.