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A reproducible method for automated extraction of brain volumes from 3D human head mr images
Author(s) -
Wang Deming,
Galloway Graham J.,
de Zubicaray Greig I.,
Rose Stephen E.,
Chalk Jonathan B.,
Doddrell David M.,
Semple James
Publication year - 1998
Publication title -
journal of magnetic resonance imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.563
H-Index - 160
eISSN - 1522-2586
pISSN - 1053-1807
DOI - 10.1002/jmri.1880080232
Subject(s) - computer science , segmentation , preprocessor , reproducibility , artificial intelligence , pattern recognition (psychology) , human head , head (geology) , automated method , nuclear medicine , computer vision , medicine , mathematics , physics , statistics , geomorphology , absorption (acoustics) , geology , acoustics
An automated method for extracting brain volumes from three commonly acquired three‐dimensional (3D) MR images (proton density, T1 weighted, and T2‐weighted) of the human head is described. The procedure is divided into four levels: preprocessing, segmentation, scalp removal, and postprocessing. A user‐provided reference point is the sole operator‐dependent input required. The method's parameters were first optimized and then fixed and applied to 30 repeat data sets from 15 normal older adult subjects to investigate its reproducibility. Percent differences between total brain volumes (TBVs) for the subjects' repeated data sets ranged from .5% to 2.2%. We conclude that the method is both robust and reproducible and has the potential for wide application.