Review of automatic segmentation methods of multiple sclerosis white matter lesions on conventional magnetic resonance imaging

Author:

García-Lorenzo Daniel,Francis Simon,Narayanan Sridar,Arnold Douglas L.,Collins D. Louis

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference143 articles.

1. A modified fuzzy C-means algorithm for bias field estimation and segmentation of MRI data;Ahmed;IEEE Transactions on Medical Imaging,2002

2. STREM: a robust multidimensional parametric method to segment MS lesions in MRI;Aït-Ali,2005

3. Akselrod-Ballin, A., Galun, M., Basri, R., Brandt, A., Gomori, M.J., Filippi, M., Valsasina, P., 2006. An integrated segmentation and classification approach applied to multiple sclerosis analysis. In: IEEE Conference on Computer Vision and, Pattern Recognition, pp. 1122–1129.

4. Automatic segmentation and classification of multiple sclerosis in multichannel MRI;Akselrod-Ballin;IEEE Transactions on Biomedical Engineering,2009

5. Automated segmentation and measurement of global white matter lesion volume in patients with multiple sclerosis;Alfano;Journal of Magnetic Resonance Imaging,2000

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