PROBABILISTIC REFINEMENT OF MODEL-BASED SEGMENTATION
摘要
A system for segmenting current diagnostic images includes a workstation (30) which segments a volume of interest in previously generated diagnostic images of a selected volume of interest generated from a plurality of patients. One or more processors (32) are programmed to register the segmented previously generated images and merge the segmented previously generated images into a probability map that depicts a probability that each voxel represents the volume of interest (24) or background (26) and a mean segmentation boundary (40). A segmentation processor (50) registers the probability map with a current diagnostic image (14) to generate a transformed probability map (62). A previously-trained classifier (70) classifies voxels of the diagnostic image with a probability that each voxel depicts the volume of interest or the background. A merge processor (80) merges the probabilities from the classifier and the transformed probability map. A segmentation boundary processor (84) determines the segmentation boundary for the volume of interest based on the current image based on the merge probabilities.
申请公布号
EP2545527(A1)
申请公布日期
2013.01.16
申请号
EP20110714103
申请日期
2011.02.14
申请人
KONINKLIJKE PHILIPS ELECTRONICS N.V.;UNIVERSITY HEALTH NETWORK