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Abstract #0423

High-resolution kidney MRI in mice for longitudinal tracking of kidney volume and cyst burden

Florian Schmid1, Geogios Koukos1, Yi Liu1, Matt Sooknah1, Sandip Chatterjee1, Adam Freund1, and Johannes Riegler1
1Calico Life Sciences LLC, South San Francisco, CA, United States

We present an improved imaging and data analysis strategy for kidney MRI in mouse models of polycystic kidney disease. By registering multiple high resolution datasets at lower SNR, slow movement is compensated for and high resolution datasets with high quality and fine detail are achieved, allowing for detection and longitudinal tracking of kidney volume as well as cyst number and size. We established automatic cyst detection and are developing automatic kidney segmentation, for accurate and reliable assessment of polycystic kidney disease in mouse models.

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