Abstract
Methods Rest and adenosine stress perfusion imaging was performed on 17 normal volunteers. A saturation recovery SSFP dual-sequence technique was used to acquire three myocardial slices and an arterial input function (AIF) image series. A proton-density weighted image was acquired at the beginning of each series. Fully quantitative perfusion pixel maps were generated by an automated processing method, including non-rigid motion correction, surface-coil intensity correction, AIF and myocardial signal and contrast timing detection, and model constrained deconvolution. The results of the automatically generated MBF pixel maps were compared with manual quantification using an 18-segment model.
Highlights
Fully quantitative CMR perfusion pixel maps have been validated with microsphere myocardial blood flow (MBF) measurements and shown potential clinical applications
We developed a fully automated image processing method to generate MBF pixel maps from the first-pass CMR perfusion images
MBF was compared in 612 segments from 102 perfusion image series
Summary
Automated pixel-wise myocardial blood flow quantification with first-pass perfusion CMR. Li-Yueh Hsu1*, Matthew Jacobs, Mitchel Benovoy, Hannah M Conn, Andrew E Arai. From 19th Annual SCMR Scientific Sessions Los Angeles, CA, USA. From 19th Annual SCMR Scientific Sessions Los Angeles, CA, USA. 27-30 January 2016
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