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Abstract #2870

Semi-Automated Volume Segmentation of the Brain Based on a Level Set Approach

Zhaoyang Jin1, Ling Xia2, Yiping Peter Du3

1Institute of Information and Control, Hangzhou Dianzi University, Hangzhou, Zhejiang, China; 2Biomedical Engineering, Zhejiang University, Hangzhou, Zhejiang, China; 3Psychiatry,Radiology, University of Colorado Denver School of Medicine, Denver, CO, USA


The minimum-intensity projection (mIP) display of 3D susceptibility weighted images can introduce signal loss in peripheral regions of the brain because of the low intensity in air or bone along the path of projection. In this study, we present the results of semi-automated volume segmentation using a level set approach to obtain a brain mask using magnitude images. Signal loss in the mIP display of 3D susceptibility weighted images in the peripheral regions of the brain can be effectively avoided using the brain mask.

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