Segmentation of large brain lesions.

This paper describes a region-growing algorithm for the segmentation of large lesions in T 1-weighted magnetic resonance (MR) images of the head. The algorithm involves a gray level similarity criterion to expand the region and a size criterion to prevent from over-growing outside the lesion. The pe...

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Pubblicato in:	IEEE Transactions on medical imaging 20, 7 (2001).
Autore principale:	Hojjatoleslami, S.A
Natura:	Articolo
Lingua:	English
Soggetti:	T/sub 1/-weighted magnetic resonance images. Brain MRI. Gray level similarity criterion. Head. Magnetic resonance imaging. Medical diagnostic imaging. Pathologic three-dimensional MR images series. Region expansion. Region-growing algorithm. Size criterion.