Radiofrequency tumor ablation system with a wireless or implantable probe

Radiofrequency tumor ablation system with a wireless or implantable probe

• Moore Julian¹ , 
• Xu Sheng² , 
• Wood Bradford J.² , 
• Ren Hongliang³  & 
• Tse Zion Tsz Ho^4, , , 

• 1.

  School of Electrical and Computer Engineering, The University of Georgia, Athens, GA 30602, USA

• 2.

  Center for Interventional Oncology, Radiology and Imaging Sciences, NIH Clinical Center, National Institute of Biomedical Imaging and Bioengineering, and National Cancer Institute Center for Cancer Research, National Institutes of Health, Bethesda, MD, USA

• 3.

  Department of Biomedical Engineering, National University of Singapore, Singapore, Singapore

• 4.

  Department of Electronic Engineering, University of York, Heslington, York, UK

• Author Bio:
  Julian Moore obtained his graduate and undergraduate education in electrical engineering at the University of Georgia. He is currently working at the Johns Hopkins University Applied Physics Laboratory in Maryland.
  Sheng Xu is the head scientist of the Center for Interventional Oncology at the National Institutes of Health. He obtained his PhD from the Department of Computer Science in the Johns Hopkins University. Then he worked at Philips Research North America for 6 years before he joined NIH. Dr. Xu is interested in surgical navigation, medical image processing, medical robotics and machine learning.
  Bradford Wood has practiced and performed translational research at NIH for the past 18 years with the goal of combining drugs devices, and image guidance to meet clinical needs. As an academic interventional radiologist, he defines clinical scenarios where combining image guidance and energy and drug deposition may lead to improved outcomes for cancer patients. He is the first to treat kidney cancer, lymphoma, adrenocortical carcinoma, and pheochromocytoma with radiofrequency ablation, first to combine heat deployed nanoparticle chemotherapy with RFA or HIFU thermal ablation, and first to use fusion guidance for biopsy and thermal ablation. He directs a multidisciplinary research team networking with the NIH institutes while partnering with drug device and pharma industry as well as extramural academic centers in the US and Europe.
  Hongliang Ren is an IEEE senior member and currently serves as an associate editor for IEEE Transactions on Automation Science & Engineering (T-ASE) and Medical & Biological Engineering & Computing (MBEC). He has navigated his academic journey through Chinese University of Hong Kong, Johns Hopkins University, Children's Hospital Boston, Harvard Medical School, Children's National Medical Center, United States, and National University of Singapore. His areas of interest include biorobotics, intelligent control, medical mechatronics, soft continuum robots, soft sensors, and multisensory learning in medical robotics. He is the recipient of NUS Young Investigator Award and Engineering Young Researcher Award, IAMBE Early Career Award 2018, Interstellar Early Career Investigator Award 2018, and ICBHI Young Investigator Award 2019.
  Zion Tsz Ho Tse received his PhD in mechatronics in medicine from Imperial College London. Currently he is a chair professor at Department of Electronic Engineering and the principal investigator of the Medical Robotics Lab at University of York, UK. Before joining University of York, he was an associate professor in University of Georgia, USA. Dr. Tse has been involved in designing and prototyping a broad range of novel analog-digital electronic devices, most of which have been applied in numerous clinical and industrial environments
• Corresponding author: Zion Tsz Ho Tse, Department of Electronic Engineering, University of York, Heslington, York, UK. E-mail: zion.tse@york.ac.uk