VeloScan
Project Overview
Year
About
This project advances ultrasound by enabling speed-of-sound (SoS) imaging using standard hand-held devices. SoS is a promising biomarker that reveals tissue composition and disease states, with applications in breast cancer and fatty liver diagnosis. Unlike bulky, double-sided systems, this approach works with existing clinical and portable ultrasound tools, supporting real-time, non-invasive, and accessible diagnosis. Clinical studies show promising results for breast cancer and density assessment, aiming to reduce reliance on costly, ionising, or invasive alternatives
Team
Can Deniz Bezek
Uppsala University
Can Deniz Bezek holds bachelor’s and master’s degrees in Electrical and Electronics Engineering from Middle East Technical University. He is currently pursuing his doctoral degree at Uppsala University, focusing on developing novel techniques for medical ultrasound imaging. His research has been published in leading journals, presented at international conferences in his field, and recognized with awards such as for best poster and international travel grants. Motivated by a vision of making medical diagnosis faster, more affordable, and widely accessible, he develops innovative imaging and analysis methods and works on their integration into clinical practice to improve healthcare for patients worldwide.
Dieter Schweizer
Dr. Orcun Goksel
Uppsala University
Prof. Goksel received two BSc degrees in electrical engineering (2001) and in computer engineering/science (2002) from Middle East Technical University, Ankara, Turkey. He received his MASc (2004) and PhD (2009) degrees in the Department of Electrical and Computer Engineering at the University of British Columbia, Vancouver, Canada. In 2014, he was appointed as a Swiss National Science Foundation (SNSF) Professor at the Department of Information Technology and Electrical Engineering at ETH Zurich, Switzerland. He then founded and has still been leading the Computer-assisted Applications in Medicine (CAiM) group. In 2020, he joined the Department of Information Technology at Uppsala University, Sweden, as an associate professor, and in 2024 he was appointed as a (full) professor of Computerised Image Processing.
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