Geodesic active contours with adaptive neighboring influence

Authors:
Huafeng Liu;Yunmei Chen;Hon Pong Ho;Pengcheng Shi
Affiliations:
State Key Laboratory of Modern Optical Instrumentation, Zhejiang University, Hangzhou, China and Department of Electrical and Electronic Engineering, Hong Kong University of Science and Technology ...;Department of Mathematics, University of Florida, Gainesville;Department of Electrical and Electronic Engineering, Hong Kong University of Science and Technology, Hong Kong;Department of Electrical and Electronic Engineering, Hong Kong University of Science and Technology, Hong Kong
Venue:
MICCAI'05 Proceedings of the 8th international conference on Medical image computing and computer-assisted intervention - Volume Part II
Year:
2005

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Abstract

While geometric deformable models have brought tremendous impacts on shape representation and analysis in medical image analysis, some of the remaining problems include the handling of boundary leakage and the lack of global understanding of boundaries. We present a modification to the geodesic active contour framework such that influence from local neighbors of a front point is explicitly incorporated, and it is thus capable of robustly dealing with the boundary leakage problem. The fundamental power of this strategy rests with the local integration of evolution forces for each front point within its local influence domain, which is adaptively determined by the local level set geometry and image/ prior information. Due to the combined effects of internal and external constraints on a point and the interactions with those of its neighbors, our method allows stable boundary detection when the edge information is noisy and possibly discontinuous (e.g. gaps in the boundaries) while maintaining the abilities to handle topological changes, thanks to the level set implementation. The algorithm has been implemented using the meshfree particle domain representation, and experimental results on synthetic and real images demonstrate its superior performance.