Segmentation of large brain lesions

S A Hojjatoleslami; F Kruggel

doi:10.1109/42.932750

Segmentation of large brain lesions

IEEE Trans Med Imaging. 2001 Jul;20(7):666-9. doi: 10.1109/42.932750.

Authors

S A Hojjatoleslami¹, F Kruggel

Affiliation

¹ Max-Planck-Institute of Cognitive Neuroscience, Leipzig, Germany.

PMID: 11465472
DOI: 10.1109/42.932750

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.

Publication types

Evaluation Study

MeSH terms

Algorithms*
Brain / pathology*
Brain Diseases / pathology*
Fourier Analysis
Image Processing, Computer-Assisted
Imaging, Three-Dimensional
Magnetic Resonance Imaging / methods*
Sensitivity and Specificity