Abstract #1110

Automated black-blood late gadolinium enhancement cardiac imaging through explainable user-independent inversion time selection

Aurelien Maillot¹, Soumaya Sridi², Xavier Pineau², Amandine André-Billeau², Stéphanie Hosteins², Marta Nuñez-Garcia¹, Maxime Sermesant^1,3, Hubert Cochet^1,2, Matthias Stuber^1,4,5, and Aurelien Bustin^1,2,4

¹IHU LIRYC, Electrophysiology and Heart Modeling Institute, Université de Bordeaux – INSERM U1045, Bordeaux, France, ²Department of Cardiovascular Imaging, Hôpital Cardiologique du Haut-Lévêque, CHU de Bordeaux, Bordeaux, France, ³INRIA, Université Côte d’Azur, Sophia Antipolis, France, ⁴Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, ⁵CIBM Center for Biomedical Imaging, Lausanne, Switzerland

Synopsis

Black-blood late gadolinium enhancement (LGE) imaging techniques have been introduced to improve the poor scar to blood contrast of bright-blood LGE, especially for subendocardial myocardial infarction. These techniques heavily rely on the manual selection of the optimal inversion time (TI) for blood nulling which makes them operator-dependent, reduce their reproducibility and decrease clinical workflow efficiency. In this work, we investigate whether an explainable image processing technique can be employed for automated TI selection to enable fully automated black-blood LGE.

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