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Proceedings Paper

White matter lesion segmentation using robust parameter estimation algorithms
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Paper Abstract

White matter lesions are common brain abnormalities. In this paper, we introduce an automatic algorithm for segmentation of white matter lesions from brain MRI images. The intensities of each tissue is assumed to be Gaussian distributed, whose parameters (mean vector and covariance matrix) are estimated using a tissue distribution model. And then a measure is defined to indicate in how much content a voxel belongs to the lesions. Experimental results demonstrate that our algorithm works well.

Paper Details

Date Published: 15 May 2003
PDF: 5 pages
Proc. SPIE 5032, Medical Imaging 2003: Image Processing, (15 May 2003); doi: 10.1117/12.480244
Show Author Affiliations
Faguo Yang, Institute of Automation, CAS (China)
Litao Zhu, Institute of Automation, CAS (China)
Tianzi Jiang, Institute of Automation, CAS (China)

Published in SPIE Proceedings Vol. 5032:
Medical Imaging 2003: Image Processing
Milan Sonka; J. Michael Fitzpatrick, Editor(s)

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