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Volumetry and topography of the human brain by magnetic resonance imaging
Author(s) -
Thulborn Keith R.,
Uttecht Steve D.
Publication year - 2000
Publication title -
international journal of imaging systems and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.359
H-Index - 47
eISSN - 1098-1098
pISSN - 0899-9457
DOI - 10.1002/1098-1098(2000)11:3<198::aid-ima1004>3.0.co;2-1
Subject(s) - gyrification , magnetic resonance imaging , sulcus , artificial intelligence , feature (linguistics) , human brain , computer science , functional magnetic resonance imaging , computer vision , pattern recognition (psychology) , nuclear magnetic resonance , anatomy , neuroscience , physics , psychology , medicine , radiology , linguistics , philosophy
Software, termed Morph©, is described for the morphometric analysis of magnetic resonance images of the human brain. Algorithms for objective contrast border recognition, surface feature classification, and surface feature contour unfolding are evaluated. Intraoperator and interoperator variabilities and errors were determined to be less than 2% over a group of operators ( n = 6) for the known volume of a cerebral hemisphere obtained at autopsy. Volumetric errors were measured to be ± 3% for simulated objects and less than 1% for images of phantoms. Contours of brains of normal elderly subjects (n = 6) and patients with probable Alzheimer's disease (n = 6), segmented into sulcal and gyral features to determine gyrification indices, showed concordance with literature values. Flat maps or topograms were obtained of the convoluted cortex by unfolding the segmented contours. The areas of surface features were readily obtained. The activation of the frontal eye fields (FEF) defined by functional magnetic resonance imaging (fMRI) with an oculomotor control task was mapped onto a topogram of the precentral sulcus. This software provides accurate volumetric analysis with additional topographical tools for characterizing convoluted cortical features and for presenting three‐dimensional fMRI activation patterns as two‐dimensional maps. © 2001 John Wiley & Sons, Inc. Int J Imaging Syst Technol 11, 198–208, 2000