ArticleImaging neuroscience (Cambridge, Mass.)
Imaging intravoxel vessel size distribution in the brain using susceptibility contrast enhanced MRI.
Article in Imaging neuroscience (Cambridge, Mass.). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Vascular remodeling is inherent to the pathogenesis of many diseases including cancer, neurodegeneration, fibrosis, hypertension, and diabetes. In this paper, a new susceptibility-contrast based MRI approach is established to non-invasively image intravoxel vessel size distribution (VSD), enabling a more comprehensive and quantitative assessment of vascular remodelling. The approach utilizes high-resolution light-sheet fluorescence microscopy (LSFM) images of rodent brain vasculature, gradient echo sampling of free induction decay and spin echo (GESFIDE) MRI signal simulation from the three-dimensional (3D) vascular networks, and training a deep learning (DL) model to predict cerebral blood volume (CBV) and VSD from GESFIDE signals. Specifically, small voxel-size volumes of interest (VOI) (n = 32,000) were extracted from LSFM images of rodent brain and the vascular structure was segmented. Next, two DL models were trained to predict the CBV and VSD from the ratio of pre- and post-contrast GESFIDE signals simulated from these VOIs. The results from
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