Automated segmentation of multiple sclerosis lesions by model outlier detection.

This paper presents a fully automated algorithm for segmentation of multiple sclerosis (MS) lesions from multispectral magnetic resonance (MR) images. The method performs intensity-based tissue classification using a stochastic model for normal brain images and simultaneously detects MS lesions as o...

ver descrição completa

Detalhes bibliográficos

Publicado no:	IEEE Transactions on medical imaging 20, 8 (2001).
Autor principal:	Van Leemput, K.
Formato:	Artigo
Idioma:	English
Assuntos:	MR field inhomogeneities correction. Markov random field. Automatic measurements. Digital brain atlas. Expert measurements. Fully automated algorithm. Intensity-based tissue classification. Lesion load correlation. Medical diagnostic imaging. Multispectral magnetic resonance images. Normal brain images. Stochastic model. Tissue-specific intensity models.