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Unsupervised, automated segmentation of the normal brain using a multispectral relaxometric magnetic resonance approach.

作者信息

Alfano B, Brunetti A, Covelli E M, Quarantelli M, Panico M R, Ciarmiello A, Salvatore M

机构信息

Department of Radiology, CNR-Nuclear Medicine Center, University Frederico II, Naples, Italy.

出版信息

Magn Reson Med. 1997 Jan;37(1):84-93. doi: 10.1002/mrm.1910370113.

DOI:10.1002/mrm.1910370113
PMID:8978636
Abstract

The purpose of this study was the development and testing of a method for unsupervised, automated brain segmentation. Two spin-echo sequences were used to obtain relaxation rates and proton-density maps from 1.5 T MR studies, with two axial data sets including the entire brain. Fifty normal subjects (age range, 16 to 76 years) were studied. A Three-dimensional (3D) spectrum of the tissue voxels was used for automatic segmentation of gray matter (GM), white matter (WM), and cerebrospinal fluid (CSF) and for calculation of their volumes. Accuracy and reproducibility were tested with a three-compartment phantom simulating GM, WM, and CSF. In the normal subjects, a significant decrease of GM fractional volume and increased CSF volume with age were observed (P < 0.0001), with no significant changes in WM. This multispectral segmentation method permits reproducible, operator-independent volumetric measurements.

摘要

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