A SHAPE-TEMPLATE BASED TWO-STAGE CORPUS CALLOSUM SEGMENTATION TECHNIQUE FOR SAGITTAL PLANE T1-WEIGHTED BRAIN MAGNETIC RESONANCE IMAGES

Mogali, Jayanth Krishna and Nallapareddy, Naren and Seelamantula, Chandra Sekhar and Unser, Michael (2013) A SHAPE-TEMPLATE BASED TWO-STAGE CORPUS CALLOSUM SEGMENTATION TECHNIQUE FOR SAGITTAL PLANE T1-WEIGHTED BRAIN MAGNETIC RESONANCE IMAGES. In: 2013 20TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP 2013), SEP 15-18, 2013, Melbourne, AUSTRALIA, pp. 1177-1181.

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Abstract

We propose a semi-automatic technique to segment corpus callosum (CC) using a two-stage snake formulation: A restricted affine transform (RAT) constrained snake followed by an unconstrained snake in an iterative fashion. A statistical model is developed to capture the shape variations of CC from a training set, which restrict the unconstrained snake to lie in the shape-space of CC. The geometry of the constrained snake is optimized using a local contrast-based energy over RAT space (which allows for five degrees of freedom). On the other hand, the unconstrained snake is optimized using a unified energy (region, gradient, and curvature energy) formulation. Joint optimization resulted in increased robustness to initialization as well as fast and accurate segmentation. The technique was validated on 243 images taken from the OASIS database and performance was quantified using Jaccard's distance, sensitivity, and specificity as the metrics.

Item Type:	Conference Proceedings
Series.:	IEEE International Conference on Image Processing ICIP
Publisher:	IEEE
Additional Information:	Copy right for this article belongs to the IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
Keywords:	Corpus callosum segmentation; active contour model; shape-specific snake; contrast-based energy
Department/Centre:	Division of Electrical Sciences > Electrical Engineering
Date Deposited:	24 Aug 2016 10:31
Last Modified:	24 Aug 2016 10:31
URI:	http://eprints.iisc.ac.in/id/eprint/54354

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