Muyinatu Bell

Education and Training

B.S., Massachusetts Institute of Technology, 2006

Academic Visitor, Institute of Cancer Research and Royal Marsden Hospital, UK, 2010

Ph.D., Biomedical Engineering, Duke University, 2012

Postdoctoral Fellow, Johns Hopkins University, 2012-2016


This is an archived website that is no longer active. Visit the PULSE Lab website for recent news and updates.

On January 1, 2017, I will join the faculty of the Electrical & Computer Engineering (ECE) and Biomedical Engineering (BME) Departments at Johns Hopkins University. I am currently an interim Assistant Research Professor and Director of the Photoacoustic and Ultrasonic Systems Engineering (PULSE) Lab, looking for highly motivated, dedicated, and self-driven MS/PhD students and postdocs with interests and/or skills in circuit design, signal processing, machine learning, programming, biomedical imaging, optics, medical robotics, and human health (or any combination thereof).

Students: Apply to the ECE Department and/or BME Department and mention my name in the application.

Postdocs: Email your CV and two representative papers to me at the following address: mledijubell@jhu.edu.

PULSE Lab Website: http://pulselab.jhu.edu


Research Interests

Keywords: ultrasonic imaging, photoacoustic imaging, coherence-based beamforming, image formation, image quality, light delivery systems, medical robotics, image-guided surgery, image-guided interventions, speckle tracking, technology development, medical device design, clinical translation

Overview: Accurate diagnoses and precise image-guided procedures hinge on medical imaging systems that provide outstanding image quality. In ultrasound and photoacoustic imaging, the beamforming process is typically the first line of software defense against poor quality images. I utilize theories about optical and acoustic wave propagation to design novel beamformers and medical imaging devices that provide a clearer picture of image targets. My beamformers have been tested and validated in simulations, phantoms, large-scale animal models, and humans, with the ultimate goal of clinical translation to patients. Integration with medical robotics has further potential to unlock a host of possibilities and provide novel technology to detect and treat neurological, cardiovascular, liver, prostate, breast, and pancreatic cancers, which comprise my primary areas of clinical interest and/or experience with translational research.


Selected Honors and Awards

  • NIH K99/R00 Pathway to Independence Award, 2015
  • Ford Foundation Postdoctoral Fellowship, 2013
  • UNCF/Merck Postdoctoral Fellowship, 2013
  • NextProf Workshop at University of Michigan, 2012
  • IEEE Student Travel Award, International Symposium on Biomedical Imaging, 2012
  • UNCF/Merck Graduate Dissertation Fellowship, 2011
  • Whitaker International Fellowship, 2009
  • NIH Supplement to Promote Diversity in Biomedical Research, 2008
  • IEEE Student Travel Award, International Ultrasonics Symposium,  2008
  • Duke Endowment Fellowship, 2006
  • Xerox Technical Minority Scholarship, 2005
  • MIT Ilona Karmel Prize in Engineering Writing, 2005
  • Pi Tau Sigma Mechanical Engineering Honor Society, 2004

Selected Publications

*published under surnames Lediju and Lediju Bell

  • Lediju Bell MA, Guo X, Song DY, Boctor EM. Transurethral light delivery for prostate photoacoustic imaging, Journal of Biomedical Optics, 20(3):036002, 2015.
  • Lediju Bell MA, Kuo N, Song DY, Kang J, Boctor EM. In vivo visualization of prostate brachytherapy seeds with photoacoustic imaging, Journal of Biomedical Optics, 19(12):126011, 2014.
  • Lediju Bell MA, Kuo N, Song DY, Boctor EM. Short-lag spatial coherence beamforming of photoacoustic images for enhanced visualization of prostate brachytherapy seeds, Biomedical Optics Express, 4(10): 1964-77. 2013.
  • Lediju Bell MA, Goswami R, Kisslo JA, Dahl JJ, Trahey GE. Short-lag spatial coherence (SLSC) imaging of cardiac ultrasound data: Initial clinical results, Ultrasound in Medicine and Biology, 39(10):1861–74. 2013.
  • Lediju Bell MA, Byram BC, Harris EJ, Evans PM, Bamber JC. In vivo liver tracking with a high volume rate 4D ultrasound scanner and a 2D matrix array probe, Physics in Medicine and Biology, 57(5):1359-74. 2012.
  • Lediju MA, Trahey GE, Byram BC, Dahl JJ. Spatial coherence of backscattered echoes: Imaging characteristics, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 58(7):1377-88. 2011.
  • Lediju MA, Pihl MJ, Hsu SJ, Dahl JJ, Gallippi CM, Trahey GE. A motion-based approach to abdominal clutter reduction. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 56(11):2437-49. 2009.
  • Lediju MA, Pihl MJ, Hsu SJ, Dahl JJ, Trahey GE. Quantitative assessment of the magnitude, impact, and spatial extent of ultrasonic clutter. Ultrasonic Imaging, 30(3):151-168. 2008.
[see full list & access manuscripts]

Teaching Experience

Intersession 2013 & 2016
Introduction to Medical Imaging

Spring 2014
Ultrasound Imaging: Theory and Applications


Contact

M. A. Lediju Bell
Postdoctoral Fellow
Johns Hopkins University
Laboratory for Computational Sensing and Robotics
Engineering  Research Center for Computer-Integrated Surgical Systems and Technology
128 Hackerman Hall, Baltimore, MD 21218

Email: muyinatu.ledijubell@jhu.edu