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Integrating multimodality magnetic resonance imaging to the Allen Mouse Brain Common Coordinate Framework.
Wang, Nian; Maharjan, Surendra; Tsai, Andy P; Lin, Peter B; Qi, Yi; Wallace, Abigail; Jewett, Megan; Liu, Fang; Landreth, Gary E; Oblak, Adrian L.
Afiliación
  • Wang N; Department of Radiology and Imaging Sciences, Indiana University, Indianapolis, Indiana, USA.
  • Maharjan S; Stark Neurosciences Research Institute, Indiana University, Indianapolis, Indiana, USA.
  • Tsai AP; Department of Radiology and Imaging Sciences, Indiana University, Indianapolis, Indiana, USA.
  • Lin PB; Stark Neurosciences Research Institute, Indiana University, Indianapolis, Indiana, USA.
  • Qi Y; Stark Neurosciences Research Institute, Indiana University, Indianapolis, Indiana, USA.
  • Wallace A; Center for In Vivo Microscopy, Department of Radiology, Duke University, Durham, North Carolina, USA.
  • Jewett M; Department of Radiology and Imaging Sciences, Indiana University, Indianapolis, Indiana, USA.
  • Liu F; Department of Radiology and Imaging Sciences, Indiana University, Indianapolis, Indiana, USA.
  • Landreth GE; Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, USA.
  • Oblak AL; Harvard Medical School, Boston, Massachusetts, USA.
NMR Biomed ; 36(5): e4887, 2023 05.
Article en En | MEDLINE | ID: mdl-36454009
ABSTRACT
High-resolution magnetic resonance imaging (MRI) affords unique image contrasts to nondestructively probe the tissue microstructure; validation of MRI findings with conventional histology is essential to better understand the MRI contrasts. However, the dramatic difference in the spatial resolution and image contrast of these two techniques impedes accurate comparison between MRI metrics and traditional histology. To better validate various MRI metrics, we acquired whole mouse brain multigradient recalled-echo and multishell diffusion MRI datasets at 25-µm isotropic resolution. The recently developed Allen Mouse Brain Common Coordinate Framework (CCFv3) provides opportunities to integrate multimodal and multiscale datasets of the whole mouse brain in a common three-dimensional (3D) space. The T2*, quantitative susceptibility mapping, diffusion tensor imaging, and neurite orientation dispersion and density imaging parameters were compared with both serial two-photon tomography images and 3D Nissl staining images in the CCFv3 at the same spatial resolution. The correlation between MRI and Nissl staining strongly depends on different metrics and different regions of the brain. Integrating different imaging modalities to the same space may substantially improve our understanding of the complexity of the brain at different scales.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Imagen por Resonancia Magnética / Imagen de Difusión Tensora Límite: Animals Idioma: En Revista: NMR Biomed Asunto de la revista: DIAGNOSTICO POR IMAGEM / MEDICINA NUCLEAR Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Imagen por Resonancia Magnética / Imagen de Difusión Tensora Límite: Animals Idioma: En Revista: NMR Biomed Asunto de la revista: DIAGNOSTICO POR IMAGEM / MEDICINA NUCLEAR Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos
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