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Abstract #1198

Capture the Opening and Closing of Human Aortic Valve Using MRI with Sub-Millisecond Temporal Resolution

Zheng Zhong1,2, Kaibao Sun2, Guangyu Dan1,2, Muge Karaman1,2, and Xiaohong Joe Zhou1,2,3,4
1Bioengineering, University of Illinois at Chicago, Chicago, IL, United States, 2CMRR, University of Illinois at Chicago, Chicago, IL, United States, 3Radiology, University of Illinois at Chicago, Chicago, IL, United States, 4Neurosurgery, University of Illinois at Chicago, Chicago, IL, United States

Stenosis and regurgitation are two common valvular diseases currently diagnosed using echocardiography. Cardiac MR has potential to diagnose these two diseases, however, faces the challenge of inadequate temporal resolution for capturing the rapid opening or closing of aortic valve. Using a variation of a recently proposed technique, coined Sub-millisecond Periodic Event Encoded Dynamic Imaging or SPEEDI (formerly called SMILE), we demonstrated that this process can be visualized using MRI with sub-millisecond temporal resolution. This new capability has improved the accuracy and reliability in studying the dynamics of aortic valve, opening new opportunities to detect stenosis and regurgitation using MRI.

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