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PMID: 20879308 Published · ppublish English Journal Article

Consistent 4D cortical thickness measurement for longitudinal neuroimaging study.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention ·Vol. 13 ·No. Pt 2 ·2010-00-00 ·Pages 133-42

Li Y, Wang Y, Xue Z, Shi F, Lin W, Shen D, Alzheimer's Disease Neuroimaging Initiative

Abstract

Accurate and reliable method for measuring the thickness of human cerebral cortex provides powerful tool for diagnosing and studying of a variety of neuro-degenerative and psychiatric disorders. In these studies, capturing the subtle longitudinal changes of cortical thickness during pathological or physiological development is of great importance. For this purpose, in this paper, we propose a 4D cortical thickness measuring method. Different from the existing temporal-independent methods, our method fully utilizes the 4D information given by temporal serial images. Therefore, it is much more resistant to noises from the imaging and pre-processing steps. The experiments on longitudinal image datasets from the Alzheimer's Disease Neuroimaging Initiative (ADNI) show that our method significantly improves the longitudinal stability, i.e. temporal consistency, in cortical thickness measurement, which is crucial for longitudinal study. Power analysis of the correlation between cortical thickness and Mini-Mental-Status-Examination (MMSE) score demonstrated that our method generates statistically more significant results when comparing with the 3D temporal-independent thickness measuring methods.

MeSH Terms
Algorithms Cerebral Cortex/anatomy & histology Humans Image Enhancement/methods Image Interpretation, Computer-Assisted/methods Imaging, Three-Dimensional/methods Longitudinal Studies Magnetic Resonance Imaging/methods Organ Size Pattern Recognition, Automated/methods Reproducibility of Results Sensitivity and Specificity Subtraction Technique
Authors & Affiliations
7 authors, click to expand affiliations / ORCID
Li Yang
Department of Radiology and BRIC, University of North Carolina at Chapel Hill, USA.
Wang Yaping
Xue Zhong
Shi Feng
Lin Weili
Shen Dinggang
Alzheimer's Disease Neuroimaging Initiative
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Article Info
Journal
Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
Abbr.
Med Image Comput Comput Assist Interv
Published
2010-00-00
Pages
133-42
Language
English
Region
Germany
NLM ID
101249582
PMCID
PMC3021961
Subset
IM
Grants
NIBIB NIH HHS · R01 EB008374 · United States
NIBIB NIH HHS · R01 EB006733 · United States
NIBIB NIH HHS · R01 EB008374-01A2 · United States
NIA NIH HHS · U19 AG010483 · United States
NIMH NIH HHS · RC1 MH088520-01 · United States
NIMH NIH HHS · RC1 MH088520 · United States
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