TY - JOUR
T1 - Automatic Segmentation of Human Cortical Layer-Complexes and Architectural Areas Using Ex vivo Diffusion MRI and Its Validation
AU - Bastiani, Matteo
AU - Oros-Peusquens, Ana-Maria
AU - Seehaus, Arne
AU - Brenner, Daniel
AU - Mollenhoff, Klaus
AU - Celik, Avdo
AU - Felder, Jeorg
AU - Bratzke, Hansjuergen
AU - Shah, Nadim J.
AU - Galuske, Ralf
AU - Goebel, Rainer
AU - Roebroeck, Alard
PY - 2016/11/10
Y1 - 2016/11/10
N2 - Recently, several magnetic resonance imaging contrast mechanisms have been shown to distinguish cortical substructure corresponding to selected cortical layers. Here, we investigate cortical layer and area differentiation by automatized unsupervised clustering of high-resolution diffusion MRI data. Several groups of adjacent layers could be distinguished in human primary motor and premotor cortex. We then used the signature of diffusion MRI signals along cortical depth as a criterion to detect area boundaries and find borders at which the signature changes abruptly. We validate our clustering results by histological analysis of the same tissue. These results confirm earlier studies which show that diffusion MRI can probe layer-specific intracortical fiber organization and, moreover, suggests that it contains enough information to automatically classify architecturally distinct cortical areas. We discuss the strengths and weaknesses of the automatic clustering approach and its appeal for MR-based cortical histology.
AB - Recently, several magnetic resonance imaging contrast mechanisms have been shown to distinguish cortical substructure corresponding to selected cortical layers. Here, we investigate cortical layer and area differentiation by automatized unsupervised clustering of high-resolution diffusion MRI data. Several groups of adjacent layers could be distinguished in human primary motor and premotor cortex. We then used the signature of diffusion MRI signals along cortical depth as a criterion to detect area boundaries and find borders at which the signature changes abruptly. We validate our clustering results by histological analysis of the same tissue. These results confirm earlier studies which show that diffusion MRI can probe layer-specific intracortical fiber organization and, moreover, suggests that it contains enough information to automatically classify architecturally distinct cortical areas. We discuss the strengths and weaknesses of the automatic clustering approach and its appeal for MR-based cortical histology.
KW - diffusion MRI
KW - cortical layers and areas
KW - ultra-high field MRI
KW - MR-based histology
KW - histological validation
U2 - 10.3389/fnins.2016.00487
DO - 10.3389/fnins.2016.00487
M3 - Article
C2 - 27891069
SN - 1662-453X
VL - 10
JO - Frontiers in Neuroscience
JF - Frontiers in Neuroscience
M1 - 487
ER -