PhD Candidate
The University of British Columbia
Areas of Interest
- Medical Imaging
Poster
Tissue Characterization using Quantitative Ultrasound
Abstract
My research focusses on biological tissue characterization in terms of acoustic and mechanical properties using quantitative ultrasound (QUS). Among medical imaging modalities, conventional ultrasound, a portable, non-ionizing and inexpensive tool, continues to reign as is evidenced by its ubiquitous use from bedside to spacecraft. QUS further extends the value and applicability of ultrasound. As its name suggests, QUS is quantitative unlike the conventional counterpart and therefore it is ideally independent of the system used for data acquisition as well as the user interpretation. While the quantitative nature is useful for reliable readings, the major strength of QUS lies elsewhere. QUS data is enriched with powerful information regarding the interrogated tissue microstructue. Still QUS is far from being accepted in clinical applications with a few exceptions. My research addresses the limitations which impedes the widespread adoption of QUS in clinical practice. On the one hand, I develop the theoretical framework for reliable QUS assessment using state-of-the-art optimization and machine learning tools. On the other hand, my research explores clinical applications of QUS, specifically to characterize tissue types and to identify their pathological states.
Bio
Farah Deeba is a PhD candidate in Electrical and Computer Engineering department at the University of British Columbia. She is working as a research assistant at the Robotics and Control Laboratory, supervised by Dr. Robert Rohling. She holds a M.Sc. degree in Electrical and Computer Engineering from University of Saskatchewan, Canada and a B.Sc. degree in Electrical and Electronic Engineering from Bangladesh University of Engineering and Technology, Bangladesh. Farah's research interests lie in the field of medical imaging, with a focus on the tissue characterization using quantitative ultrasound. Farah is a recipient of Schlumberger Faculty for Future Fellowship and the 2020 Microsoft Dissertation Grant.
