Technical Program

Paper Detail

Paper:	FR-AM-OS2.8
Session:	Image Segmentation and Shape Analysis
Time:	Friday, April 7, 12:10 - 12:30
Presentation:	Oral
Title:	TOADS: Topology-Preserving, Anatomy-Driven Segmentation
Authors:	Pierre-Louis Bazin; The Johns Hopkins University
	Dzung Pham; The Johns Hopkins University
Abstract:	This paper presents a new algorithm for object segmentation in medical images that respects the topological properties and anatomical relationships of structures as given by a template. The technique combines advantages of tissue classification, digital topology, and image registration to handle any given topology and enforces object-level relationships with little constraint over the geometry. It is applied to cortical segmentation and validated on simulated and real images.

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