Research articleImproving needle visibility in LED-based photoacoustic imaging using deep learning with semi-synthetic datasets
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Mengjie Shi is a Ph.D. student in the School of Biomedical Engineering & Imaging Sciences at King’s College London, UK. She completed her bachelor’s degree in Optoelectricity Information of Science and Technology at Nanjing University of Science and Technology, China in 2019 and master’s degree in Communications and Signal Processing at Imperial College London in 2020. Her research interests focus on improving photoacoustic imaging with affordable light sources for guiding minimally invasive procedures.
Tianrui Zhao is a Ph.D. student in the School of Biomedical Engineering & Imaging Sciences at King’s College London, UK. He received his B.Sc. in Materials Science and Engineering from Northwestern Polytechnical University, China, and M.Sc. degree in Materials for Energy and Environment from University College London, UK, in 2015 and 2016, respectively. His research interests include developing minimally invasive imaging devices based on photoacoustic imaging.
Dr. Sim West is a consultant anaesthetist at UCLH. He graduated from Sheffield in 2000, and completed his training in anaesthesia in North London, spending 2012 as the Smiths Medical Innovation Fellow. He was appointed to UCLH in 2013 and is lead for regional anaesthesia and the orthopaedic hub. His research interests include improving visualisation of needles, catheters and nerves.
Dr. Adrien Desjardins is a Professor in the Department of Medical Physics and Biomedical Engineering at the University College London, where he leads the Interventional Devices Group. His research interests are centred on the development of new imaging and sensing modalities to guide minimally invasive medical procedures. He has a particular interest in the application of photoacoustic imaging and optical ultrasound to guide interventional devices for diagnosis and therapy.
Tom Vercauteren is a Professor of Interventional Image Computing at King’s College London since 2018 where he holds the Medtronic/Royal Academy of Engineering Research Chair in Machine Learning for Computer-assisted Neurosurgery. From 2014 to 2018, he was Associate Professor at UCL where he acted as Deputy Director for the Wellcome/EPSRC Centre for Interventional and Surgical Sciences (2017–18). From 2004 to 2014, he worked for Mauna Kea Technologies, Paris where he led the research and development team designing image computing solutions for the company’s CE- marked and FDA-cleared optical biopsy device. His work is now used in hundreds of hospitals worldwide. He is a Columbia University and Ecole Polytechnique graduate and obtained his Ph.D. from Inria in 2008. Tom is also an established open-source software supporter.
Dr. Wenfeng Xia is a Lecturer in the School of Biomedical Engineering & Imaging Sciences at King’s College London, UK. He received a B.Sc. in Electrical Engineering from Shanghai Jiao Tong University, China, and a M.Sc. in Medical Physics from University of Heidelberg, Germany, in 2005 and 2007, respectively. In 2013, he obtained his Ph.D from University of Twente, Netherlands. From 2014 to 2018, he was a Research Associate / Senior Research Associate in the Department of Medical Physics and Biomedical Engineering at University College London, UK. He currently leads the Photons+ Ultrasound Research Laboratory (https://www.purlkcl.org/). His research interests include non-invasive and minimally invasive photoacoustic imaging, and ultrasound-based medical devices tracking for guiding interventional procedures.