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Abstract #3748

Voxel-based analysis of renal fibrosis with diffusion MRI in mouse models

Rohan S Virgincar1, Shimrit Avraham2, Kai H Barck1, Joshua Webster3, Jeffrey Hung3, Aaron K Wong4, Hans D Brightbill4, Patrick Caplazi3, Bill Forrest5, Laura Bell6, Man Kin Choy1, Andrey Shaw2, Alex J de Crespigny6, and Luke Xie1
1Translational Imaging, Genentech, South San Francisco, CA, United States, 2Research Biology, Genentech, South San Francisco, CA, United States, 3Research Pathology, Genentech, South San Francisco, CA, United States, 4Translational Immunology, Genentech, South San Francisco, CA, United States, 5Bioinformatics, Genentech, South San Francisco, CA, United States, 6Clinical Imaging Group, Genentech, South San Francisco, CA, United States

Synopsis

Keywords: Kidney, Diffusion Tensor ImagingVoxel-based analysis (VBA) can enable voxel-wise statistical analysis of control and disease images without the need for user-defined regions-of-interest (ROI), but has not been widely used beyond neuroimaging. We demonstrate that VBA can be successfully applied to mouse models of renal fibrosis. Diffusion MRI parametric maps of control and disease groups were registered non-linearly to a common coordinate space and VBA successfully identified distinct regions of fibrosis in two different models, which strongly corresponded to whole-kidney histology. VBA therefore has potential in the clinic to identify regions of fibrosis, where whole-kidney histology cannot be obtained.

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Keywords