Abstract: The present invention relates to the field of radiation therapy and methods, software and systems for treatment planning. A target volume of a region of a patient to be treated during a treatment of a patient in a radiation therapy unit is obtained. A first isocenter location procedure is performed including inter alia evaluating potential isocenter locations along normal directions of the surface and respective isodistance surfaces in respective starting voxels in a direction inwards from the surface, and a second isocenter location procedure is performed including inter alia identifying a median axis of the target volume or center point of the target volume, placing isocenters at locations along the median axis, and placing isocenters in the target volume based on a distance to existing isocenters and to the target surface.

Abstract: The present invention relates to the field of radiation therapy and methods, software and systems for treatment planning. A target volume of a region of a patient to be treated during a treatment of a patient in a radiation therapy unit is obtained. A first Isocenter location procedure is performed including inter alia evaluating potential isocenter locations along normal directions of the surface and respective isodistance surfaces in respective starting voxel in a direction inwards from the surface, and a second isocenter location procedure is performed including inter alia identifying a median axis of the target volume or center point of the target volume, placing isocenters at locations along the median axis, placing isocenters in the target volume based on a distance to existing isocenters and to the target surface.

Abstract: Embodiments disclose a method performed by at least one processor for processing a plurality of x-ray projection images of a subject, the method comprising a plurality of operations including reconstructing the projection images to yield a volume reconstruction; segmenting the reconstructed volume by assigning a material type to each voxel; estimating a first set of scatter images corresponding to a subset of the projection images by calculating probabilistic predictions of interactions of x-rays with the subject and applying a low pass spatial filter to the scatter images; estimating a second set of scatter images corresponding to projection images not included in the subset, based on the first set of scatter images; and subtracting, for each projection image, the corresponding scatter image to yield a corrected projection image.

Abstract: Embodiments disclose a method performed by at least one processor for processing a plurality of x-ray projection images of a subject, the method comprising a plurality of operations including reconstructing the projection images to yield a volume reconstruction; segmenting the reconstructed volume by assigning a material type to each voxel; estimating a first set of scatter images corresponding to a subset of the projection images by calculating probabilistic predictions of interactions of x-rays with the subject and applying a low pass spatial filter to the scatter images; estimating a second set of scatter images corresponding to projection images not included in the subset, based on the first set of scatter images; and subtracting, for each projection image, the corresponding scatter image to yield a corrected projection image.

Abstract: Disclosed is a method of simulating a dynamic object comprising a plurality of vertices. The method comprises defining a current position and a current velocity for a vertex “v” among the plurality of vertices, generating an estimated next position for vertex “v” based on the current position and current velocity, updating the estimated next position based on a plurality of constraints, and after updating the estimated next position, computing a next position and a next velocity for vertex “v” based on the current position and estimated next position.

Abstract: Disclosed is a method of simulating a dynamic object comprising a plurality of vertices. The method comprises defining a current position and a current velocity for a vertex “V” among the plurality of vertices, generating an estimated next position for vertex “v” based on the current position and current velocity, updating the estimated next position based on a plurality of constraints, and after updating the estimated next position, computing a next position and a next velocity for vertex “v” based on the current position and estimated next position.