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Automated longitudinal registration of high resolution structural MRI brain sub-volumes in non-human primates.
Lecoeur, Jérémy; Wang, Feng; Chen, Li Min; Li, Rui; Avison, Malcolm J; Dawant, Benoit M.
Afiliación
  • Lecoeur J; Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN 37240, USA. jeremy.lecoeur@vanderbilt.edu
J Neurosci Methods ; 202(1): 99-108, 2011 Oct 30.
Article en En | MEDLINE | ID: mdl-21920386
Accurate anatomic co-registration is a prerequisite for identifying structural and functional changes in longitudinal studies of brain plasticity. Current MRI methods permit collection of brain images across multiple scales, ranging from whole brain at relatively low resolution (≥1 mm), to local brain areas at the level of cortical layers and columns (∼100 µm) in the same session, allowing detection of subtle structural changes on a similar spatial scale. To measure these changes reliably, high resolution structural and functional images of local brain regions must be registered accurately across imaging sessions. The present study describes a robust fully automated strategy for the registration of high resolution structural images of brain sub-volumes to lower resolution whole brain images collected within a session, and the registration of partially overlapping high resolution MRI sub-volumes ("slabs") across imaging sessions. In high field (9.4 T) reduced field-of-view high resolution structural imaging studies using a surface coil in an anesthetized non-human primate model, this fully automated coregistration pipeline was robust in the face of significant inhomogeneities in image intensity and tissue contrast arising from the spatially inhomogeneous transmit and receive properties of the surface coil, achieving a registration accuracy of 30±15 µm between sessions.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Procesamiento de Imagen Asistido por Computador / Encéfalo / Mapeo Encefálico Tipo de estudio: Observational_studies Límite: Animals Idioma: En Revista: J Neurosci Methods Año: 2011 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Países Bajos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Procesamiento de Imagen Asistido por Computador / Encéfalo / Mapeo Encefálico Tipo de estudio: Observational_studies Límite: Animals Idioma: En Revista: J Neurosci Methods Año: 2011 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Países Bajos