ECE Assistant Professor Muyinatu Bell is conducting pioneering research that integrates deep learning with ultrasound image formation to provide interventional radiologists with a fundamentally new type of ultrasound image. These novel images only display structures of interest, such as a needle tip as it is inserted into the kidney and the corresponding kidney target location, to address traditional and often problematic ultrasound image quality issues. Bell is collaborating with Austin Reiter, PhD and Kelvin Hong, MD to pursue this research with a NIH Trailblazer Award from the National Institute of Biomedical Imaging and Bioengineering.

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