White matter lesion segmentation using robust parameter estimation algorithms

Faguo Yang; Litao Zhu; Tianzi Jiang

doi:10.1117/12.480244

15 May 2003 White matter lesion segmentation using robust parameter estimation algorithms

Faguo Yang, Litao Zhu, Tianzi Jiang

Proceedings Volume 5032, Medical Imaging 2003: Image Processing; (2003) https://doi.org/10.1117/12.480244
Event: Medical Imaging 2003, 2003, San Diego, California, United States

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.

Citation Download Citation

Faguo Yang, Litao Zhu, and Tianzi Jiang "White matter lesion segmentation using robust parameter estimation algorithms", Proc. SPIE 5032, Medical Imaging 2003: Image Processing, (15 May 2003); https://doi.org/10.1117/12.480244

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