Department of Mechanical Systems Engineering
Personalized cardiovascular disease treatment via hemodynamics modeling and high performance computing
날짜 2019년11월 13일 수요일
시각 12시 -13시
장소 르네상스플라자 406호
신청 Snoway 비교과 프로그램 (마일리지 2000점)
대상 공개강의 (타과생 환영합니다)
연사 서종민 박사
약력 Present Research Engineer, Mechanical Engineering, Pediatrics & ICME, Stanford University
2016 PhD in Mechanical Engineering, Stanford University
2012 MS in Mechanical Engineering, Stanford University
2010 BS in Mechanical Engineering, Seoul National University
Cardiovascular disease (CVD) is the leading cause of death worldwide and imposes tremendous economic burden: the annual direct and indirect cost of CVD and strokes was estimated $329.7 billion in 2015, and the projected total cost by 2035 exceeds $1 trillion in the United States. Therefore, advancing diagnostics and treatment of CVD is of paramount importance and is an active research area. To tackle cardiovascular disease, multi- disciplinary approaches are currently employed to bring innovations to clinical practice, translationally applying findings in basic science and the state-of-the-art engineering tools. In this context, cardiovascular simulations are increasingly applied to provide quantitative evaluation of unmeasurable biomarkers in vivo, systematic analysis of disease progression, prediction of surgery outcomes, non-invasive diagnostics and risk assessment of CVD. This talk first introduces how fluid mechanics principles and simulation tools are applied in the engineering industry. Then I will provide a general overview of cardiovascular simulation, introducing how fluid mechanics and high-performance computing technology are applied in medicine. I will explain the patient-specific simulation pipeline that includes vessel segmentation from image data, lofting the segmentations into a three dimensional anatomic model, assignment of physiologic boundary conditions and solution the governing equations for blood flows. Next, I will introduce an uncertainty quantification framework, a statistical approach used to assess the reliability of the simulation prediction. This talk then focuses on how simulation tools can be used to assess of surgical techniques in the heart surgery. Throughout the talk, I will talk about how multidisciplinary collaborative approaches are used to lead innovation in engineering and medicine.
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