Abstract: Methods and systems for machine-learning-based prediction of a dose-volume histogram for radiotherapy treatment planning. The method includes receiving prescription information and a plan geometry. The plan geometry includes a planning target volume and an organ at risk. The method also includes extracting a plurality of input features using the plan geometry and a machine-learning model. The method further includes determining the dose-volume histogram by combining the plurality of input features using the machine-learning model.

Abstract: Use of an adaptive radiation therapy framework includes determination of a radiation beam size, radiation beam shape, and radiation beam position for delivering at least a portion of a prescribed radiation dose to a target volume based on first image data of a patient, and selection of one radiation therapy process from an available first process and second process. The first radiation therapy process comprises acquisition of two dimensional image data of the patient, determination of a position offset based on the two-dimensional image data and on the first image data, and movement of the patient based on the position offset. The second radiation therapy process comprises acquisition of three-dimensional image data of the patient, determination of a second position offset based on the three-dimensional image data and on the first image data, and movement of the patient based on the second position offset.

Abstract: Use of an adaptive radiation therapy framework includes determination of a radiation beam size, radiation beam shape, and radiation beam position for delivering at least a portion of a prescribed radiation dose to a target volume based on first image data of a patient, and selection of one radiation therapy process from an available first process and second process. The first radiation therapy process comprises acquisition of two dimensional image data of the patient, determination of a position offset based on the two-dimensional image data and on the first image data, and movement of the patient based on the position offset. The second radiation therapy process comprises acquisition of three-dimensional image data of the patient, determination of a second position offset based on the three-dimensional image data and on the first image data, and movement of the patient based on the second position offset.

Abstract: A method for determining a radiation treatment plan for a radiotherapy system providing multiple individual rays of intensity modulated radiation iteratively optimized the fluence of an initial set of such rays by a function that requires knowledge of only the prescribed dose and the dose resulting from the particular ray fluences. In this way, the need to store individual dose distributions of each ray are eliminated.