Technical Program

Paper Detail

Paper:	SA-AM-OS2.1
Session:	Image Segmentation and Shape Analysis
Time:	Saturday, April 8, 09:30 - 09:50
Presentation:	Oral
Title:	Intensity-Based Shape Propagation for Volumetric Image Segmentation
Authors:	Ek Tsoon Tan; Mayo Clinic College of Medicine
	Rajagopalan Srinivasan; Mayo Clinic College of Medicine
	Richard Robb; Mayo Clinic College of Medicine
Abstract:	The shape propagation scheme robustly combines shape and edge information in two steps to perform volumetric image segmentation. The inward-propagating step performs shape interpolation from user-defined sparse segmentations. The edge estimation step improves the accuracy of interpolated boundaries using a Bayesian approach that handles the presence of edges or its lack of. The scheme was found to be robust in segmenting T-1 weighted MRI of the Corpus Callosum. The algorithm also runs in linear time. The efficiency and robustness of this scheme demonstrates significant potential for use in assisting tedious manual volumetric segmentation that may be performed in clinical applications.

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