Jørgen Avdal

Jørgen Avdal is a Researcher at the Department of Circulation and Medical Imaging within the Faculty of Medicine and Health Sciences at the Norwegian University of Science and Technology (NTNU). His work focuses on advanced ultrasound imaging techniques with applications spanning cardiovascular medicine and petroleum engineering. His research group maintains strong collaborations with clinical departments and industry partners.

Avdal's primary research interests include ultrasound Doppler techniques, blood flow quantification, vector velocity estimation, and 3D echocardiography. His work bridges medical applications—particularly in cardiac imaging, vascular access monitoring, and microcirculation—with industrial applications in oil and gas borehole monitoring. He has developed novel methods for flow-line-based analysis, adaptive clutter filtering, and high-frame-rate Doppler imaging.

His publication record shows consistent output in high-impact journals including IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, Scientific Reports, and Ultrasound in Medicine and Biology. His recent work demonstrates increasing focus on machine learning applications in ultrasound image analysis, 3D flow quantification in cardiac applications, and cross-disciplinary applications of ultrasound technology in both medical and petroleum engineering contexts.

Avdal has co-developed FLUST, an open-source framework for ultrasound blood flow simulations, highlighting his commitment to open science and reproducible research. His work often involves interdisciplinary collaborations with researchers in cardiology, vascular surgery, petroleum engineering, and signal processing.

His research group at NTNU appears to be part of the larger ultrasound research community at the university, which maintains strong ties with St. Olavs Hospital and other clinical institutions. The team works on translating advanced ultrasound techniques from simulation and laboratory environments to clinical and industrial applications.