A reproducible method for automated extraction of brain volumes from 3D human head MR images

Wang, DM, Galloway, GJ, de Zubicaray, GI, Rose, SE, Chalk, JB, Doddrell, DM and Semple, J (1998) A reproducible method for automated extraction of brain volumes from 3D human head MR images. Jmri-journal of Magnetic Resonance Imaging, 8 2: 480-486. doi:10.1002/jmri.1880080232


Author Wang, DM
Galloway, GJ
de Zubicaray, GI
Rose, SE
Chalk, JB
Doddrell, DM
Semple, J
Title A reproducible method for automated extraction of brain volumes from 3D human head MR images
Journal name Jmri-journal of Magnetic Resonance Imaging   Check publisher's open access policy
ISSN 1053-1807
Publication date 1998
Sub-type Article (original research)
DOI 10.1002/jmri.1880080232
Open Access Status
Volume 8
Issue 2
Start page 480
End page 486
Total pages 7
Language eng
Abstract 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.
Keyword Rad, Nuc Med & Med Imaging
Mri
Total Brain Volume Estimation
Automated Extraction
Segmentation
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Unknown

Document type: Journal Article
Sub-type: Article (original research)
Collection: Centre for Advanced Imaging Publications
 
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Citation counts: TR Web of Science Citation Count  Cited 16 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 16 times in Scopus Article | Citations
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Created: Mon, 13 Aug 2007, 11:03:43 EST