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Abstract #3729

3D Co-Registration of MRI and Histology in a Mouse Model of Obesity and Non-Alcoholic Fatty Liver Disease

Eli Gibson1, 2, Lanette J. Friesen-Waldner, 23, Amanda M. Hamilton2, Emeline J. Ribot2, Trevor P. Wade3, 4, Curtis N. Wiens5, Kundan Thind, 23, Jacqueline K. Harris3, Nica M. Borradaile6, Charles A. McKenzie1, 3, Aaron D. Ward1, 2

1Biomedical Engineering, University of Western Ontario, London, Ontario, Canada; 2Robarts Research Institute, London, Ontario, Canada; 3Medical Biophysics, University of Western Ontario, London, Ontario, Canada; 4Robarts Research Institute , London, Ontario, Canada; 5Physics and Astronomy, University of Western Ontario, London, Ontario, Canada; 6Physiology and Pharmacology, University of Western Ontario, London, Ontario, Canada

Validation of quantitative MRI for non-invasive quantification of liver fat ideally uses accurate registration to an accepted reference standard (e.g. histology). We demonstrate accurate co-registration of murine in vivo 3D whole-body water-only and fat-only images to stained histological liver images. Three 129/SVJ mice were fed a high fat diet to induce hepatic steatosis and obesity, imaged using 3D quantitative IDEAL MRI at 3T, then sectioned on a cryomicrotome, where 3D optical and histology images were collected. We successfully co-registered MR-optical images and optical-histology images interactively using thin-plate-spline transformations with mean target registration errors of 0.7 mm and 0.1 mm, respectively.

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