Cortical thickness computation by solving tetrahedron-based harmonic field

Cortical thickness computation in magnetic resonance imaging (MRI) is an important method to study the brain morphological changes induced by neurodegenerative diseases. This paper presents an algorithm of thickness measurement based on a volumetric Laplacian operator (VLO), which is able to capture...

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Veröffentlicht in:	Computers in biology and medicine 2020-05, Vol.120, p.103727-103727, Article 103727
Hauptverfasser:	Kong, Deping, Fan, Yonghui, Hao, Jinguang, Zhang, Xiaofeng, Su, Qingtang, Yao, Tao, Zhang, Caiming, Xiao, Liang, Wang, Gang
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Alzheimer's disease Atrophy Biomarkers Boundary conditions Brain Cerebral cortex Cognitive ability Computation Computer graphics Construction Cortical thickness computation Cytotoxicity Data storage Dirichlet problem Finite element analysis Finite element method Half-face data storage structure Information processing Interpolation Local isothermal surface Lymphocytes T Magnetic resonance imaging Methods Morphology Neurodegenerative diseases Neuroimaging Software Statistical analysis Temperature distribution Tetrahedra Tetrahedral mesh Thickness measurement Volumetric laplacian operator
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