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Evaluation of Two Segmentation Methods on MRI Brain Tissue Structures

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5 Author(s)
Cai, X. ; Dept. of Electr. & Comput. Eng. & Comput. Sci., Cincinnati Univ., OH ; Hou, Y. ; Li, C. ; Lee, J.-H.
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In this paper, we evaluate two segmentation methods on 15 brain tissue structures. One is narrow band level set method and the other is pattern classification method based on maximum a posteriori (MAP) probability framework. Two sets of experiments are conducted on 18 verified MRI brain data sets. Dice Similarity Index (DSI) is used to evaluate the closeness between our segmentation results and the gold standards, which were provided by experienced radiologists. The results for comparison of two methods are given and their potential applicability is discussed. Tissue structures such as left and right lateral ventricle have achieved over 70% DSI, while other structures such as third ventricle, caudate nucleus, globus pallidus, putamen and thalamus have achieved above 60% DSI

Published in:

Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE

Date of Conference:

Aug. 30 2006-Sept. 3 2006

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