LED-Based Photoacoustic Imaging

Dr. Mithun Kuniyil Ajith Singh is an engineering scientist with extensive experience in preclinical and clinical photoacoustic and ultrasound imaging. He is presently working as a Research and Business Development Manager at CYBERDYNE, INC, the Netherlands. In his current role, he initiates and coordinates various scientific projects in collaboration with globally renowned research groups, especially focusing on the clinical translation of LED-based photoacoustic imaging technology. Mithun received his Technical Diploma in Medical Electronics from Model Polytechnic College, Calicut, India, in 2004; his Bachelor’s degree in Biomedical Instrumentation and Engineering from SRM University, Chennai, India, in 2008; and his Master’s degree in Bio-photonics from the École normale supérieure de Cachan, France, in 2012. From January 2013 to December 2016, he pursued research for his Ph.D. thesis at the Biomedical Photonic Imaging Group, University of Twente, the Netherlands, under thesupervision of Professor Wiendelt Steenbergen. While working on his Ph.D., he invented a new method called PAFUSion (photoacoustic-guided focused ultrasound) for reducing reflection artifacts and improving contrast and imaging depth in photoacoustic imaging, and demonstrated its potential in clinical pilot studies. Mithun has published over 40 international journal articles and conference proceedings papers. He won the Seno Medical Best Paper Award at the annual conference ‘Photons plus Ultrasound: Imaging and Sensing’ during the SPIE Photonics West 2016 event in San Francisco. As one of many academic achievements and scholarships, SRM University, India, presented him with a Commendation Award for his outstanding contributions to the field of biomedical engineering in 2017. Mithun is currently serving as a reviewer for several leading journals in the field of optics and won Elsevier’s Outstanding Reviewer Award in 2018.

• Fundamentals of photoacoustic imaging: A theoretical tutorial.- High-power light emitting diodes; an alternative excitation source for photoacoustic tomography.- Deformation-compensated averaging for deep-tissue LED and laser diode-based photoacoustic imaging integrated with handheld echo ultrasound.- Ultrasound receive-side strategies for image quality enhancement in low-energy illumination based Photoacoustic Imaging.- Vascular complexity evaluation using a skeletonization approach and 3D LED-based photoacoustic images.- Multiscale signal processing methods for improving image reconstruction and visual quality in LED-based photoacoustic systems.- Data structure assisted accelerated reconstruction strategy for handheld photoacoustic imaging.- Democratizing LED-Based Photoacoustic Imaging with Adaptive Beamforming and Deep Convolutional Neural Network.- Deep learning for image processing and reconstruction to enhance LED-based photoacoustic imaging.- Light emitting diodes based photoacoustic and ultrasound tomography: Imaging aspects and applications.- Functional and Molecular Photoacoustic Computed Tomography using Light Emitting Diodes.