Study of image segmentation for MR diffusion weighed image based on active contour

Authors:
Guannan Chen;Daner Xu;Hengyang Hu;Tingyin Wang;Rong Chen
Affiliations:
Key Laboratory of OptoElectronic Science and Technology for Medicine, Fujian Normal University, Ministry of Education, Fuzhou, China;College of Humanities and Social Science, Fujian Agriculture and Forestry University, Fuzhou;Key Laboratory of OptoElectronic Science and Technology for Medicine, Fujian Normal University, Ministry of Education, Fuzhou, China;Key Laboratory of OptoElectronic Science and Technology for Medicine, Fujian Normal University, Ministry of Education, Fuzhou, China;Key Laboratory of OptoElectronic Science and Technology for Medicine, Fujian Normal University, Ministry of Education, Fuzhou, China
Venue:
AICI'11 Proceedings of the Third international conference on Artificial intelligence and computational intelligence - Volume Part II
Year:
2011

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Abstract

MR Diffusion Weighed Image(DWI) is one of many functional magnetic resonance imaging(fMRI) techniques, and could provide complicated spatial and structural information about the tissue. Aiming at segmentation MR diffusion weighed image for real-time application with numerical stability constraints and high efficiency, a method based on the minimization algorithm is developed. Our approach is based on the image segmentation tasks into a global minimization method. The minimization algorithm minimization the energy, avoid the drawback in the level set approach and easy to implement, allows us a fast minimization of the active contour. Experimental results show that the effectiveness for image segmentation with our method is preferable.