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Bright-blood late gadolinium-enhanced (LGE) imaging is the current clinical gold standard to assess myocardial scar. However, poor contrast at the blood-scar interface makes scar detection and quantification challenging. Bright- and black-blood LGE imaging technologies have recently enabled more accurate scar detection and localization and have shown promising results for scar quantification. Here we aim to introduce a framework for fully automated scar detection and quantification combining novel joint bright- and black-blood LGE imaging with artificial intelligence-powered analysis.
Bustin et al. (Wed,) studied this question.