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A diffusion tensor imaging white matter atlas of the domestic canine brain.
Inglis, Fiona M; Taylor, Paul A; Andrews, Erica F; Pascalau, Raluca; Voss, Henning U; Glen, Daniel R; Johnson, Philippa J.
Afiliación
  • Inglis FM; Cornell College of Veterinary Medicine, Department of Clinical Sciences, Cornell University, Ithaca, NY, United States.
  • Taylor PA; Scientific and Statistical Computing Core, National Institute of Mental Health, Bethesda, MD, United States.
  • Andrews EF; Cornell College of Veterinary Medicine, Department of Clinical Sciences, Cornell University, Ithaca, NY, United States.
  • Pascalau R; Faculty of Medicine, "Iuliu Hatieganu" University of Medicine and Pharmacy, Cluj-Napoca, Romania.
  • Voss HU; Cornell Magnetic Resonance Imaging Facility, College of Human Ecology, Cornell University, Cornell, Ithaca, NY, United States.
  • Glen DR; Scientific and Statistical Computing Core, National Institute of Mental Health, Bethesda, MD, United States.
  • Johnson PJ; Cornell College of Veterinary Medicine, Department of Clinical Sciences, Cornell University, Ithaca, NY, United States.
Imaging Neurosci (Camb) ; 2: 1-21, 2024 Aug 01.
Article en En | MEDLINE | ID: mdl-39301427
ABSTRACT
There is increasing reliance on magnetic resonance imaging (MRI) techniques in both research and clinical settings. However, few standardized methods exist to permit comparative studies of brain pathology and function. To help facilitate these studies, we have created a detailed, MRI-based white matter atlas of the canine brain using diffusion tensor imaging. This technique, which relies on the movement properties of water, permits the creation of a three-dimensional diffusivity map of white matter brain regions that can be used to predict major axonal tracts. To generate an atlas of white matter tracts, thirty neurologically and clinically normal dogs underwent MRI imaging under anesthesia. High-resolution, three-dimensional T1-weighted sequences were collected and averaged to create a population average template. Diffusion-weighted imaging sequences were collected and used to generate diffusivity maps, which were then registered to the T1-weighted template. Using these diffusivity maps, individual white matter tracts-including association, projection, commissural, brainstem, olfactory, and cerebellar tracts-were identified with reference to previous canine brain atlas sources. To enable the use of this atlas, we created downloadable overlay files for each white matter tract identified using manual segmentation software. In addition, using diffusion tensor imaging tractography, we created tract files to delineate major projection pathways. This comprehensive white matter atlas serves as a standard reference to aid in the interpretation of quantitative changes in brain structure and function in clinical and research settings.
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Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: Imaging Neurosci (Camb) Año: 2024 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: Imaging Neurosci (Camb) Año: 2024 Tipo del documento: Article