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Diego Hernando is an Associate Professor at UW–Madison. He leads the Quantitative Body MR aspect of the UW Comprehensive Diabetes Center. His primary expertise lies in magnetic resonance (MR) physics, specifically in the areas of pulse sequence development, image reconstruction, parameter estimation, as well as chemical shift encoded methods for fat and iron detection and quantification. He has developed and validated advanced MR quantitative techniques applied to cardiac, abdominal, and pelvic imaging. His research focuses on the technical development and translational validation of methods for fat and iron quantification, particularly in the context of abdominal and pelvic imaging. Additionally, he investigates MRI techniques near metal implants, quantitative diffusion MRI, and the application of artificial intelligence in MRI. A significant part of his work is centered on the development of novel imaging techniques that enable rapid, accurate, and precise quantification of fat and iron in the liver. His expertise also extends to the design and validation of motion-robust MRI techniques and the creation of innovative quantitative MRI phantoms, including those for fat and iron quantification.
Department: Department of Computer Sciences