Washington University

Computerized Medical Systems, Inc.

Ryan Scott Brame

Sasa Mutic

Kevin L Moore

Lindsey Appenzoller

Xiao Han

Lyndon Stanley Hibbard

Embodiments develop a predictive dose-volume relationships for a radiation therapy treatment is provided. A system includes a memory area for storing data corresponding to a plurality of patients, wherein the data comprises a three-dimensional representation of the planning target volume and one or more organs-at-risk. The data further comprises an amount of radiation delivered to the planning target volume and the one or more organs-at-risk. The system further includes one or more processors programmed to access, from the memory area, the data and to develop a model that predicts dose-volume relationships using the three-dimensional representations of the planning target volume and the one or more organs-at-risk. The model is being derived from correlations between dose-volume relationships and calculated minimum distance vectors between discrete volume elements of the one or more organs-at-risk and a boundary surface of the planning target volume.

Developing predictive dose-volume relationships for a radiotherapy treatment

A technique is disclosed for generating a new contour and/or a 3D surface from contour data using a surface displacement field. The technique is preferably applied to un-contoured target images within a 4D image sequence for which contour data is desired. The technique can be initialized with contour data related to a reference image that has already been contoured, e.g. by a doctor who manually enters contour information into a computer. Image registration (calculation of correspondence between the reference image and target image) can be performed simultaneously with segmentation (identifying regions of interest in the target image). This allows one to make use of segmentation information in a reference image to improve the accuracy of contouring within the target image.

Method and apparatus for efficient automated re-contouring of four-dimensional medical imagery using surface displacement fields

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Chesterfield, MO, United States of America

Ryan Scott Brame