October 11, 2016

1:30 pm / 2:30 pm


Clark 314

Revolutionizing Image Formation to Improve Clinical Outcomes
nAbstract: By providing real-time information about our complex, dynamicanatomy, ultrasound and photoacoustic images represent two powerful toolsfor diagnosing diseases and guiding surgeries. However, these tools are limited by the presence of noise artifacts known as acoustic clutter, whichare particularly evident when imaging overweight and obese patients. Traditional amplitude-based signal processing (i.e., beamforming) methods cannot discriminate noise from true signals in these patients who generally produce poor quality images. In this talk, I describe my novel coherence-basedbeamforming methods, which I initially developed to address this challenge and reduce acoustic clutter in ultrasound images. I then demonstrate how my work translates to photoacoustic imaging to enable novel applications ofphotoacoustic-guided surgeries with specialized, task-specific light delivery systems that attach to surgical tools. These novel contributions may be integrated with robots to further improve surgical navigation in minimally invasive procedures and expand the technical envelope of ultrasound and photoacoustic imaging systems, thus revolutionizing the current diagnostic and surgical standards of care.

Muyinatu A. Lediju Bell is an interim Assistant Research Professor in the Engineering Research Center for Computer Integrated Surgical Systems and Technology (CISST ERC), who is transitioning to an Assistant Professor of Electrical and Computer Engineering with a joint appointment in the Biomedical Engineering Department at Johns Hopkins University. She founded and directs the Photoacoustic and Ultrasonic Systems Engineering (PULSE) Lab at Johns Hopkins University. Prior to joining the faculty, Prof. Bell completed a postdoctoral fellowship in the CISST ERC at Johns Hopkins University in 2016, received her Ph.D. degree in Biomedical Engineering from Duke University in 2012, completed research abroad as a Whitaker International Fellow in 2010, and earned her B.S. degree in Mechanical Engineering (with a biomedical engineering minor) from the Massachusetts Institute of Technology in 2006. She is the author of over 40 scientific journal articles and conference proceedings, holds a patent for SLSC beamforming, and is the recipient of numerous awards and fellowships, including the MIT Technology Review 35 Innovators Under 35 Award (2016),the NIH K99/R00 Pathway to Independence Award (2015), the UNCF-Merck Postdoctoral (2012) and Graduate (2011) Research Fellowships, and the WhitakerInternational Fellowship (2009). Her research interests include optics, acoustics, signal processing, beamforming, photoacoustic and ultrasonic sensing, image-guided surgery, medical robotics, and medical device design.