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Automatic Segmentation of Human Cortical Layer-Complexes and Architectural Areas Using Ex vivo Diffusion MRI and Its Validation.

Bastiani, Matteo ; Oros-Peusquens, Ana-Maria ; Seehaus, Arne ; Brenner, Daniel ; Möllenhoff, Klaus ; Celik, Avdo ; Felder, Jörg ; Bratzke, Hansjürgen ; Shah, Nadim J. ; Galuske, Ralf A. W. ; Goebel, Rainer ; Roebroeck, Alard (2016)
Automatic Segmentation of Human Cortical Layer-Complexes and Architectural Areas Using Ex vivo Diffusion MRI and Its Validation.
In: Frontiers in neuroscience, 10
Artikel, Bibliographie

Dies ist die neueste Version dieses Eintrags.

Kurzbeschreibung (Abstract)

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.

Typ des Eintrags: Artikel
Erschienen: 2016
Autor(en): Bastiani, Matteo ; Oros-Peusquens, Ana-Maria ; Seehaus, Arne ; Brenner, Daniel ; Möllenhoff, Klaus ; Celik, Avdo ; Felder, Jörg ; Bratzke, Hansjürgen ; Shah, Nadim J. ; Galuske, Ralf A. W. ; Goebel, Rainer ; Roebroeck, Alard
Art des Eintrags: Bibliographie
Titel: Automatic Segmentation of Human Cortical Layer-Complexes and Architectural Areas Using Ex vivo Diffusion MRI and Its Validation.
Sprache: Englisch
Publikationsjahr: 2016
Titel der Zeitschrift, Zeitung oder Schriftenreihe: Frontiers in neuroscience
Jahrgang/Volume einer Zeitschrift: 10
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Kurzbeschreibung (Abstract):

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.

ID-Nummer: pmid:27891069
Fachbereich(e)/-gebiet(e): 10 Fachbereich Biologie
10 Fachbereich Biologie > Systemische Neurophysiologie
Hinterlegungsdatum: 29 Dez 2016 09:58
Letzte Änderung: 06 Dez 2023 09:07
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