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Ultra-high-resolution Mapping of Cortical Layers 3T-Guided 7T MRI.
Ramadass, Karthik; Rheault, Francois; Cai, Leon Y; Remedios, Lucas W; DArchangel, Micah; Lyu, Ilwoo; Barquero, Laura A; Newton, Allen T; Cutting, Laurie E; Huo, Yuankai; Landman, Bennett A.
Afiliação
  • Ramadass K; Department of Computer Science, Vanderbilt University, Nashville, TN, USA.
  • Rheault F; Department of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA.
  • Cai LY; Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA.
  • Remedios LW; Department of Computer Science, Vanderbilt University, Nashville, TN, USA.
  • DArchangel M; Vanderbilt Brain Institute, Vanderbilt University, Nashville, TN, USA.
  • Lyu I; Department of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA.
  • Barquero LA; Department of Computer Science and Engineering, Ulsan National Institute of Science and Technology, Ulsan, South Korea.
  • Newton AT; Vanderbilt Brain Institute, Vanderbilt University, Nashville, TN, USA.
  • Cutting LE; Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA.
  • Huo Y; Vanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, TN, USA.
  • Landman BA; Vanderbilt Brain Institute, Vanderbilt University, Nashville, TN, USA.
Article em En | MEDLINE | ID: mdl-36303575
7T MRI provides unprecedented resolution for examining human brain anatomy in vivo. For example, 7T MRI enables deep thickness measurement of laminar subdivisions in the right fusiform area. Existing laminar thickness measurement on 7T is labor intensive, and error prone since the visual inspection of the image is typically along one of the three orthogonal planes (axial, coronal, or sagittal view). To overcome this, we propose a new analytics tool that allows flexible quantification of cortical thickness on a 2D plane that is orthogonal to the cortical surface (beyond axial, coronal, and sagittal views) based on the 3D computational surface reconstruction. The proposed method further distinguishes high quality 2D planes and the low-quality ones by automatically inspecting the angles between the surface normals and slice direction. In our approach, we acquired a pair of 3T and 7T scans (same subject). We extracted the brain surfaces from the 3T scan using MaCRUISE and projected the surface to the 7T scan's space. After computing the angles between the surface normals and axial direction vector, we found that 18.58% of surface points were angled at more than 80° with the axial direction vector and had 2D axial planes with visually distinguishable cortical layers. 15.12% of the surface points with normal vectors angled at 30° or lesser with the axial direction, had poor 2D axial slices for visual inspection of the cortical layers. This effort promises to dramatically extend the area of cortex that can be quantified with ultra-high resolution in-plane imaging methods.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: Proc SPIE Int Soc Opt Eng Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: Proc SPIE Int Soc Opt Eng Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos