Quantification of myocardial perfusion: A study of the number of readouts required for a radial acquisition with TV-constrained reconstruction
Devavrat Likhite 1 , Ganesh Adluru 1 , Srikant Kamesh Iyer 1 , and Edward DiBella 1
UCAIR/Radiology, University of Utah, Salt
Lake City, Utah, United States
Dynamic contrast enhanced MRI is maturing as a tool for
quantifying cardiac perfusion. There is a need for
faster data acquisition to gain coverage or spatial
resolution. The use of compressive sensing based
reconstruction techniques along with undersampling of
data appears promising. However, there has been little
study of quantification of myocardial perfusion using
undersampled data. Here we present the use of radially
undersampled data to quantify myocardial perfusion.
Comparison of results between undersampled and 72-ray
datasets shows the possibility of quantifying of
myocardial perfusion with only 18 rays per image.
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