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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