Abstract #2685
Rapid ungated myocardial perfusion MRI with an undersampled radial CAIPI acquisition and a compressed sensing reconstruction
Ganesh Adluru 1 , Liyong Chen 2 , Eugene Kholmovski 1 , John Roberts 1 , and Edward V.R. DiBella 1
1
Radiology, University of Utah, Salt Lake
City, Utah, United States,
2
Advanced
MRI Technologies, CA, United States
Myocardial perfusion MRI is a unique imaging technique
that offers information about myocardial health due to
narrowed/blocked coronary arteries. Fast imaging methods
that undersample k-space and use advanced reconstruction
methods like compressed sensing have led to increased
slice coverage or increased spatial resolution over
conventional methods without sacrificing temporal
resolution. Feasibility of ungated perfusion imaging
with these advanced methods was also shown recently. An
ungated acquisition continuously acquires perfusion data
ignoring ECG gating and is highly efficient in data
collection compared to standard ECG gated acquisitions,
especially in case of arrhythmias. Here we present a
framework that is complementary to k-space undersampling
methods to increase slice coverage by using a
simultaneous multi-slice radial acquisition. Promising
results are shown in-vivo combining CAIPI with radial
undersampling and compressed sensing reconstructions.
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