Software for Fully Automating Myocardial Perfusion Quantification

Software is has been developed and available for licensing that fully automates image processing for the quantification of myocardial blood flow (MBF) pixel maps from firstpass contrast-enhanced cardiac magnetic resonance (CMR) perfusion images. The system removes the need for laborious manual quantitative CMR perfusion pixel map processing and can process prospective and retrospective studies acquired from various imaging protocols. In full automation, arterial input function (AIF) images are processed for motion correction and myocardial perfusion images are corrected for intensity bias. The corrected AIF images are processed for left ventricle signal detection and the corrected myocardial perfusion images and processed for myocardial signal detection. Both data sets are then corrected for nonlinear signaling, synchronized, and pixel-wise deconvolution processed. The resulting pixel map shows accurate myocardial blood flow.