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I am an Associate Professor of Radiation Oncology with the Medical Center Line at the Stanford University School of Medicine and a medical physicist certified by the Canadian College of Physicists in Medicine. The main focus of my research effort is the the development of novel imaging and image-guidance techniques for cancer related investigations and interventions. As a Medical Physics Faculty at McGill University, I conducted research on free-hand 3D ultrasound-image guidance for radiotherapy simulation and pre-treatment verification. This research resulted in technology licensed and commercialized by Resonant Medical Incorporated, Montreal, CA (currently marketed by Elekta Ltd). Later on as a Senior Physicist with the System Concepts and Innovation team at Siemens Oncology, I contributed to the development of Megavoltage Cone-Beam CT which became a commercial product. At Stanford, I have initiated and led a project on 2D/3D angiography guidance for frameless stereotactic radiosurgery of arteriovenous malformations. This project resulted in clinically used simulation and planning system. I also led a multi-disciplinary research effort (robotics, computer science and medical physics) in collaboration with Philips Ultrasound Investigations on tele-robotic 3D ultrasound for real-time soft tissue guidance concurrent with radiation beam delivery. The expertise and technology that we have developed for 4D ultrasound imaging and analysis have been instrumental in enabling the data acquisition and analysis for an ongoing NIH-R01 funded patient study and other 4D CEUS studies currently ongoing at Stanford.
Development and integration of X-ray, MRI and US imaging technologies for radiation therapy guidance; Design of synergistic approaches to radiation therapy delivery; Treatment planning optimization and modeling.
Pilot 3D Contrast-Enhanced Ultrasound Imaging to Predict Treatment Response in Liver Metastases
Patients are invited to participate in a research study of liver perfusion (how blood flows
to the liver over time). Researchers hope to learn whether perfusion characteristics of liver
metastases may be predictive of response to treatment and whether liver perfusion
characteristics can be used to follow response to treatment. Patients were selected as a
possible participant in this study because they are identified as having liver metastases
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Feasibility 3D Perfusion Ultrasound for Liver Cancer SABR Planning and Response Evaluation
The purpose of this study is to prospectively analyze the value of 3D ultrasound perfusion
imaging for treatment planning, the prediction of therapy success, and to monitor the
treatment response in patients with a primary or metastatic liver tumor undergoing radiation