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Abstract #4385

Sub-30ms real-time, free-breathing cardiac cine with VISTA sampling and SPIRiT reconstruction: A comparison with conventional segmented cine

Samuel T Ting 1 , Yu Ding 1 , Hui Xue 2 , Shivraman Giri 3 , Ning Jin 3 , Rizwan Ahmad 1 , and Orlando P Simonetti 1

1 The Ohio State University, Columbus, OH, United States, 2 National Heart Lung and Blood Institute, Bethesda, MD, United States, 3 Siemens Healthcare, Chicago, IL, United States

We combine the Variable density Incoherent Spatio-Temporal Acquisition (VISTA) sampling pattern with the Fast Iterative Shrinkage Thresholding Algorithm (FISTA) implementation of SPIRiT to achieve online real-time, free-breathing cardiac cine imaging at sub 30ms temporal resolution. We test our method in six healthy volunteers. Visual scoring compared to conventional segmented techniques show little degradation in artifacts, temporal fidelity, and image quality. EDV and ESV measurements from segmented and real-time data show mean differences of 2.20% and 3.83% respectively. Reconstruction times of less than one minute within the Gadgetron framework promise a clinically practical implementation of this technique.

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