Abstract: A system (10) quantifies uncertainty in contours. The system (10) includes at least one processor (42) programmed to receive an image (18) including an object of interest (OOI) (20). Further, a band of uncertainty (32) delineating a region (34) in the received image (18) is received. The region (34) includes the boundary of the OOI (20). The boundary is delineated in the region (34) using iterative filtering of the region (34) and a metric of uncertainty of the delineation is determined for the region (34).

Abstract: A system (10) quantifies uncertainty in contours. The system (10) includes at least one processor (42) programmed to receive an image (18) including an object of interest OOI (20). Further, a band of uncertainty (32) delineating a region (34) in the received image (18) is received. The region (34) includes the boundary of the OOI (20). The boundary is delineated in the region (34) using iterative filtering of the region (34) and a metric of uncertainty of the delineation is determined for the region (34).

Abstract: The invention relates to an apparatus for determining a number of beams in IMRT. An objective function providing unit (13) provides an objective function of an IMRT procedure, wherein the objective function depends on a target dose to be applied during the IMRT procedure. A sensitivity determination unit (14) determines the sensitivity of the objective function with respect to changes of the target dose, and a beam number determination unit (15) determines the number of beams depending on the determined sensitivity. It has been found that the sensitivity of the objective function with respect to changes of the target dose is an accurate measure for reliably determining an optimized number of beams in IMRT, which allows for generating a high quality treatment plan and which in turn leads to an improved IMRT procedure.

Abstract: A system (10) quantifies uncertainty in contours. The system (10) includes at least one processor (42) programmed to receive an image (18)including an object of interest OOI (20). Further, a band of uncertainty (32) delineating a region (34) in the received image (18) is received. The region (34)includes the boundary of the OOI (20). The boundary is delineated in the region (34) using iterative filtering of the region (34) and a metric of uncertainty of the delineation is determined for the region (34).

Abstract: A system is provided for quantification of medical image data. First image obtaining means (1) are for obtaining a first image (A). Second image obtaining means (2) are for obtaining a second image (B). Spatial transformation obtaining means (3) are for obtaining spatial transformation information representing a correspondence between points in the first image and corresponding points in the second image. Identifying means (4) are for identifying a first image region (C) in the first image (A). Transforming means (5) are for transforming the first image region (C) into a corresponding second image region C?) in the second image (B) based on the spatial transformation information. Quantification means (6) are for computing a quantification relating to the second image region (C?) by accessing image values of the second image (B) within the second image region (C?).

Abstract: A system is provided for quantification of medical image data. First image obtaining means (1) are for obtaining a first image (A). Second image obtaining means (2) are for obtaining a second image (B). Spatial transformation obtaining means (3) are for obtaining spatial transformation information representing a correspondence between points in the first image and corresponding points in the second image. Identifying means (4) are for identifying a first image region (C) in the first image (A). Transforming means (5) are for transforming the first image region (C) into a corresponding second image region C?) in the second image (B) based on the spatial transformation information. Quantification means (6) are for computing a quantification relating to the second image region (C?) by accessing image values of the second image (B) within the second image region (C?).