Automated segmentation of multiple sclerosis lesions by model outlier detection.

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...

पूर्ण विवरण

ग्रंथसूची विवरण
में प्रकाशित:IEEE Transactions on medical imaging 20, 8 (2001).
मुख्य लेखक: Van Leemput, K.
स्वरूप: लेख
भाषा:English
विषय:
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.