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Computer‐based morphometry of brain
Author(s) -
Koo BangBon,
Kim DaeShik
Publication year - 2010
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/ima.20230
Subject(s) - neuroimaging , brain morphometry , computer science , neuroscience , magnetic resonance imaging , field (mathematics) , cognitive science , artificial intelligence , psychology , medicine , radiology , mathematics , pure mathematics
Over the past decade, the importance of probing the anatomy of the brain has reemerged as an important field of neuroscience. In combination with functional imaging techniques, the rapid advancement of neuroimaging techniques—such as magnetic resonance imaging—and their growing applicability in studying brain morphometry has led to great advances in neuroscience research. Considering the requirements of the diverse technologies—from image processing to statistics—in performing morphometry of the brain, it is critical to have an overall understanding of this subject. The major objective of this review is to provide a practical introduction to this field. The review starts by covering basic concepts and techniques that are commonly used in morphometry of structural magnetic resonance imaging and then extends to further technical perspectives. © 2010 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 20, 117–125, 2010