Optimizing illumination for deep-tissue LED-based photoacoustic imaging
23 January 2022 • 5:30 PM - 7:00 PM PST | Room 211 (Level 2 South)
LED-based photoacoustic imaging has great translational potential but has limited imaging depth. We aim to improve the imaging depth of LED-based photoacoustic imaging by optimizing the geometry and number of LED elements. We present Monte Carlo-based light propagation simulations to find the optimal angle of illumination using an array of 576 elements. Simulation studies in a muscle mimicking medium show that an imaging depth of 29 mm can be achieved using the proposed configuration. Experimental studies using chicken breast tissue show an imaging depth of 27 mm. Results highlight the potential of optimizing illumination in LED-based photoacoustic imaging to improve the imaging depth.
Cyberdyne, Inc. (Netherlands)
Dr. Francis Kalloor Joseph is a postdoctoral fellow at the Biomedical Photonic Imaging (BMPI) group in the Faculty of Science and Technology, University of Twente. He completed his bachelor's degree in Electronics Engineering in 2011 from Calicut University, India, and master's degree in Communication and Signal Processing at Christ University, India in 2013. He obtained his Ph.D. from the Indian Institute of Technology Hyderabad in 2018. He was also a Fulbright doctoral research fellow (2016-2017) at Rochester Institute of Technology and the University of Rochester. His research interest is in developing medical imaging systems for diagnostic and therapeutic applications. Current works focus on photoacoustic imaging in combination with deep learning methods for tissue quantification.