3D Model-based method for vessel segmentation in TOF-MRA
Refereed conference paper presented and published in conference proceedings

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摘要In this paper, an automatic method to segment the blood vessel for 3D MRA (Magnetic Resonance Angiography) is presented. The segmentation process classifies MRA data into two parts: background and blood vessels. The process includes statistical model based on the voxel intensity and MRF model based on the context information of voxels. Both the models were built on 3D voxel, rather than on 2D. The proposed method is tested on the 3D Time-Of-Flight (TOF)-MRA data. The segmentation results give a good performance in extracting blood vessels. © 2011 IEEE.
著者Fang K., Wang D.-F., Lui L.M., Zhou S.-J., Chu W.C.W., Ahuja A.T., Heng P.A.
會議名稱2011 International Conference on Machine Learning and Cybernetics, ICMLC 2011
會議開始日10.07.2011
會議完結日13.07.2011
會議地點Guilin, Guangxi
會議國家/地區中國
詳細描述organized by IEEE,
出版年份2011
月份11
日期7
卷號4
頁次1607 - 1611
國際標準書號9781457703065
國際標準期刊號2160-133X
語言英式英語
關鍵詞Context information, Markov random field, Statistical model, Vessel segmentation

上次更新時間 2020-31-07 於 00:17