Imaging has greatly strengthened our ability to see finer details of cardiovascular structure and function. It has been widely used to guide diagnostic and therapeutic decision-making for cardiovascular diseases.
However, it is challenging to obtain meaningful anatomic and physiologic information manually from ever increasing imaging data and sometimes impossible. Furthermore, imaging is unable to provide all clinically-relevant physiologic measures. Efficient and precise extraction of anatomy and physiology can be achieved by computational modeling, simulation, and learning. Our goal is to advance the understanding, diagnosis, and treatment of cardiovascular diseases through the integration of noninvasive imaging, computational anatomy, and computational physiology. |
Innovation by new ways of thinking is central to support continuous improvements and promote disruptive changes in the care for cardiovascular diseases. Creative ideas and innovative solutions continues to translate from "bench" to "bedside" in a less invasive and more personalized manner.
We recognize the important role in the diagnosis and therapeutics of cardiovascular diseases by developing and applying innovative technologies in the fields of computer science, biomedical engineering, mechanical engineering, and biomedical informatics. Our goal is to develop and evaluate novel methods of machine learning, computer vision, natural language processing, computational fluid dynamics and solid mechanics, 3D printing, robotics, and bioinformatics, which are exclusively targeted.for cardiovascular diseases. |
Funding supportWe greatly acknowledge the following funding to support our research:
2016-2018, Role: Principal Investigator. 1R21HL132277, National Institute of Health Computerized Visualization and Prediction of Coronary Artery Ischemia 2015-2017, Role: Principal Investigator. Seed Grant, Weill Cornell Medical College Clinical and Translational Science Center Robotics-driven Printing of Curved 3D Structures for Manufacturing Cardiac Therapeutic Devices 2012-2017, Role: Co-Investigator. 1R01HL118019, National Institute of Health, Anatomic and Physiologic Determinants of Vessel-Specific Ischemia by Coronary CT 2012-2017, Role: Co-Investigator 1R01HL115150, National Institute of Health, Gender-Specific Coronary Plaque Characteristics and Risk of Myocardial Infarction 2014-2015, Role: Co-Investigator. Seed Grant, Weill Cornell Intercampus Collaborations, Fabrication of 3D Printing Models of Patient-Specific Geometric Models of Human Coronary Arteries for Non-Invasive Calculation of Coronary Artery Pressure and Flow |