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Abstract #2382

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

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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