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
Department of Computer Science, Vanderbilt University, Nashville, TN, USA.
Department of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA.
Proc SPIE Int Soc Opt Eng. 2022 Feb-Mar;12032. doi: 10.1117/12.2611857. Epub 2022 Apr 4.
7T MRI provides unprecedented resolution for examining human brain anatomy . 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.
7T磁共振成像(MRI)为检查人类大脑解剖结构提供了前所未有的分辨率。例如,7T MRI能够对右侧梭状回区域的层状细分进行深度厚度测量。现有的7T层厚测量工作强度大且容易出错,因为图像的目视检查通常沿着三个正交平面(轴向、冠状或矢状视图)之一进行。为克服这一问题,我们提出了一种新的分析工具,该工具基于3D计算表面重建,能够在与皮质表面正交的二维平面(超越轴向、冠状和矢状视图)上灵活地量化皮质厚度。所提出的方法还通过自动检查表面法线与切片方向之间的角度来区分高质量和低质量的二维平面。在我们的方法中,我们获取了一对3T和7T扫描(同一受试者)。我们使用MaCRUISE从3T扫描中提取大脑表面,并将该表面投影到7T扫描的空间中。在计算表面法线与轴向矢量之间的角度后,我们发现18.58%的表面点与轴向矢量的夹角超过80°且具有视觉上可区分皮质层的二维轴向平面。15.12%的法向量与轴向夹角为30°或更小的表面点,其二维轴向切片在目视检查皮质层时效果不佳。这项工作有望大幅扩展可通过超高分辨率平面成像方法进行量化的皮质区域。