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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