Title :
Level set regularizers for shape recovery in medical images
Author :
Suri, Jasjit S. ; Liu, Kecheng
Author_Institution :
Marconi Med. Syst. Inc., Cleveland, OH, USA
Abstract :
Due to the recent growth of level sets and partial differential equation (PDE) based approaches, the importance of designing regularizers has risen steadily. This paper presents a classification tree for regularizers and the design of regularization forces for the robust segmentation of static and motion imagery
Keywords :
computational geometry; computer vision; image classification; image restoration; image segmentation; medical image processing; motion estimation; partial differential equations; trees (mathematics); classification tree; level sets; low-level vision; medical images; motion estimation; motion imagery; partial differential equation; regularization forces; regularizers; robust image segmentation; shape recovery; static imagery; topology; Biomedical imaging; Classification tree analysis; Deformable models; Equations; IEEE members; Image segmentation; Level set; Shape; Topology; USA Councils;
Conference_Titel :
Computer-Based Medical Systems, 2001. CBMS 2001. Proceedings. 14th IEEE Symposium on
Conference_Location :
Bethesda, MD
Print_ISBN :
0-7695-1004-3
DOI :
10.1109/CBMS.2001.941747
