Keywords: Myocardium, Tissue Characterization, Dynamic Contrast-Enhanced MRI, Myocardial Infarction, Low-Rank Tensor Framework
Motivation: A quantitative tool to characterize tissue composition and microvascular integrity is
desired for assessing post-MI tissue injury and guide the management of acute
myocardial infarction.
Goal(s): Develop a clinically viable method using a delayed-phase dynamic contrast
enhancement (dDCE) model for quantitative assessment of myocardial injury post-MI.
Approach: A free-running with a low-rank tensor (LRT) framework was developed to enable whole-heart quantitative contrast dynamic imaging during contrast washout. Combined with DCE model, physiological parameters were derived to assess myocardial injury.
Results: The 3D LRT-dDCE maps correlated well with conventional 2D breath-hold methods,
identifying abnormal microvascular permeability and increased extracellular volume in
the MI zone.
Impact: LRT-dDCE demonstrated the potential of a clinically viable sequence to quantitativelyassess myocardial injury. The dDCE parameters can potentially provide detailedinsights post-ischemic impact and during tissue healing.
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