Director, the Institute for Computing, Information and Cognitive Systems (ICICS)
Professor
Associate Member, Urologic Sciences

 

Dr. Rohling is developing medical imaging systems for new acquisition techniques for ultrasound with the goal of improving diagnostics. Two current research directions in this area are patient-specific modelling and novel ultrasound transducers. Patient-specific modelling can be derived from anatomical atlases derived from imaging studies over a population, and from artificial intelligence algorithms to learn normal and diseased variations. New transducers are designed around a polymer based capacitive micro machined ultrasound transducers with the goals of achieving low-cost application-specific ultrasound transducer design. With an eye towards making an impact on patient care, he is working closely with hospital and industry partners to define clear clinical problems, develop effective solutions and translate the results into the hands of health care providers.

For more information about Dr. Rohling’s research please visit Google Scholar.