Eric Peterson
About Eric Peterson
Eric Peterson serves as the Director of MRI at Vista.ai, where he has worked since 2021. He has a strong background in biomedical engineering and has held various research and engineering positions at notable institutions, including Stanford University and SRI International.
Work at Vista.ai
Eric Peterson has served as the Director of MRI at Vista.ai since 2021. In this role, he has contributed to the development of advanced MRI technologies, including the integration of native Siemens pulse sequences with in-house developed sequences. He manages the development of the RTHawk Cardiac Package, collaborating with clinical and research sites to gather user feedback and set development priorities. His work focuses on enhancing MRI capabilities and improving imaging techniques.
Education and Expertise
Eric Peterson earned a Doctor of Philosophy (PhD) in Biomedical/Medical Engineering from the University of Wisconsin-Madison, where he conducted research on cancer metabolism using hyperpolarized 13C. He also holds a Master of Science (MS) in Biomedical/Medical Engineering from the same institution and a Bachelor of Science (BS) in Biomedical/Medical Engineering from the University of Iowa. His expertise includes MRI pulse sequence programming, computer vision, and advanced imaging techniques.
Background
Before joining Vista.ai, Eric Peterson held various research positions. He worked as a Research Scientist at SRI International from 2015 to 2017 and as a Researcher at Stanford University from 2013 to 2015. He also served as a Postdoctoral Researcher at Stanford University for five months in 2012-2013. Earlier in his career, he was a Research Assistant and Research Associate at the University of Wisconsin-Madison from 2005 to 2011 and at the University of Iowa from 2003 to 2005.
Achievements
Eric Peterson has made significant contributions to the field of MRI technology. He co-authored a paper titled 'One-Click Spine MRI,' which was presented at the Medical Imaging Meets NeurIPS Workshop at NeurIPS 2019. His research includes the development of high-resolution 3D diffusion-weighted MRI techniques for visualizing white matter tracts and understanding the effects of alcohol addiction. He has published research focused on MRI technology and real-time imaging.