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Abstract #4780

Dynamic 2D phase-contrast of the tricuspid valvular flow with automated valve-tracking: patient case studies

Dana Peters1, Jerome Lamy2, Jie Xiang3, Steffen Huber4, and Jeremy Steele4
1Yale University School of Medicine, New Haven, CT, United States, 2Université de Paris, Cardiovascular Research Center, INSERM, Paris, France, 3Biomedical Engineering, Yale University, New Haven, CT, United States, 4Yale School of Medicine, New Haven, CT, United States

Synopsis

Keywords: Flow, Valves, regurgitation

Motivation: MRI is not capable of measuring tricuspid regurgitant jets, required for diastolic function evaluation.

Goal(s): Using a dynamic slice plane which tracked the tricuspid valve, we studied patients with suspected tricuspid regurgitation.

Approach: The valve-tracking phase-contrast sequence used deep learning to automatically prescribe a phase-dependent slice plane.

Results: Tricuspid regurgitation was measured and tricuspid regurgitant jets could be visualized in patients.

Impact: A new automated 2D valve-tracking phase-contrast approach permits visualization of tricuspid regurgitant jets. This will enable evaluation of diastolic function by MRI.

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Keywords

valve