A Novel Multi-Atlas and Multi-Channel (MAMC) Approach for Multiple Sclerosis Lesion Segmentation in Brain MRI

Author:

Hu Changjun1,Song Liansong1,Liu Meiru1,Wang Jingjing1,Zhang Liren1

Affiliation:

1. College of Physics and Electronics, Shandong Normal University, Jinan, China

Publisher

ACM Press

Reference32 articles.

1. A Compston and A Coles. 2002. Multiple Sclerosis. Dtsch. Medizinische Wochenschrift 359, 9313 (2002), 1221--1231.

2. Arnau Oliver, Mariano Cabezas, Laia Valls, Laia Valls, Laia Valls, and Laia Valls. 2012. Segmentation of multiple sclerosis lesions in brain MRI: A review of automated approaches. Inf. Sci. An Int. J. 186, 1 (2012), 164--185.

3. F D Lublin, S C Reingold, J A Cohen, G R Cutter, P S Sã¸Ŗensen, A J Thompson, J S Wolinsky, L J Balcer, B Banwell, and F Barkhof. 2015. Defining the clinical course of multiple sclerosis: the 2013 revisions. Neurology 84, 9 (2015), 278--286.

4. Renske De Boer, Henri A Vrooman, Fedde Van Der Lijn, Meike W Vernooij, M Arfan Ikram, Aad Van Der Lugt, Monique M B Breteler, and Wiro J Niessen. 2009. White matter lesion extension to automatic brain tissue segmentation on MRI. Neuroimage 45, 4 (2009), 1151--1161.

5. Q Mahmood, A Chodorowski, and M Persson. 2015. Automated MRI brain tissue segmentation based on mean shift and fuzzy c-means using a priori tissue probability maps. IRBM 36, 3 (2015), 185--196.

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