Numerical Modeling of Medical Ultrasound
In the last two decades, we have witnessed substantial development in high intensity focused ultrasound (HIFU) for treating a broad spectrum of diseases and medical conditions. As a non-invasive surgical modality that can reach deep tissue, HIFU has the potential to revolutionize therapy. Although there are many numerical models available, none can currently achieve both efficient and sufficiently accurate simulations for acoustic wave propagation in large-scale, heterogeneous biological media. Existing numerical models face two enduring dilemmas: they are either very efficient but not accurate due to invalid approximations, or they are very accurate but computationally time-consuming and therefore impractical in many cases. I will discuss our effort throughout the past 10 years in developing new numerical models for HIFU, that aims to establish a balance between accuracy and computational efficiency. I will focus on both the theoretical development and the practical applications of the numerical algorithm. I will also introduce our NIH-funded project that aims to develop an open-source toolbox for modeling medical ultrasound (https://m-sound.github.io/mSOUND/home).
Yun Jing received a B.S. degree in acoustics from Nanjing University, China, in 2006 and an M.S. degree from Rensselaer Polytechnic Institute in 2007. He received his Ph.D. degree in architectural acoustics from Rensselaer Polytechnic Institute in 2009. Prior to joining the Graduate Program in Acoustics at Penn State University in 2020, he was a research fellow at Brigham and Women's Hospital during 2009-2011, and an assistant professor and associate professor at North Carolina State University during 2011-2019. He is interested in biomedical ultrasound, acoustic metamaterials, architectural acoustics, nonlinear acoustics, and noise control. He has published over 85 peer-reviewed scientific manuscripts. He is a fellow of ASA and a senior member of IEEE. He is an associate editor of the Journal of the Acoustical Society of America and Frontiers in Materials. He has received numerous awards such as the 2018 R. Bruce Lindsay Award from the Acoustical Society of America, the 2018 IEEE Ultrasonics Early Career Investigator award, 2018 MIT Technology Review Innovator under 35 China award, and the IEEE UFFC Star Ambassador Lectureship Award.