title: Segmentation of large brain lesions.
abstract: This paper describes a region-growing algorithm for the segmentation of large lesions in T1-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 performance of the algorithm is evaluated and validated on a series of pathologic three-dimensional MR images of the head.
authors.affiliation: Max-Planck-Institute of Cognitive Neuroscience, Leipzig, Germany.
authors.forename: S A
authors.initials: SA
authors.lastname: Hojjatoleslami
authors.forename: F
authors.initials: F
authors.lastname: Kruggel
mesh_terms: D000465:Algorithms; D001921:Brain / Q000473:pathology*; D001927:Brain Diseases / Q000473:pathology*; D005583:Fourier Analysis; D007091:Image Processing, Computer-Assisted; D021621:Imaging, Three-Dimensional; D008279:Magnetic Resonance Imaging / Q000379:methods*; D012680:Sensitivity and Specificity