Abstract #1176

Single-click joint bright- and black-blood late gadolinium enhancement and T1-rho mapping for improved myocardial scar imaging

Victor de Villedon de Naide^1,2, Matthias Stuber^1,3,4, Jana Huiyue Zhang³, Manuel Villegas-Martinez^1,2, Nina Brillet¹, Kalvin Narceau¹, Pauline Gut^1,3, Victor Nogues¹, Ilyes Benlala^1,2, Hubert Cochet^1,2, and Aurélien Bustin^1,2,3

¹IHU LIRYC, Electrophysiology and Heart Modeling Institute, Université de Bordeaux - INSERM, Centre de Recherche Cardio-Thoracique de Bordeaux, U1045, Avenue du Haut Lévêque, Bordeaux, France, ²Department of Cardiovascular Imaging, Hôpital Cardiologique du Haut-Lévêque, CHU de Bordeaux, Bordeaux, France, ³Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, ⁴CIBM Center for Biomedical Imaging, Lausanne, Switzerland

Synopsis

Keywords: Myocardium, Quantitative Imaging, Tissue characterization, myocardial infarction, black-blood imaging

Motivation: Bright-blood sequences are used to retrieve information about cardiac anatomy and function, while black-blood sequences have been exploited for focal scar detection. Moreover, contrast agent-free T1-rho (T1ρ) mapping has shown promise for scar quantification, particularly of diffuse nature.

Goal(s): We propose SPOT1ρ, a single-click joint bright-blood, black-blood, and T1ρ mapping sequence providing improved scar localization, detection, and quantification.

Approach: The proposed SPOT1ρ was compared to reference sequences in phantom and patients (three myocardial infarctions, one cardiac amyloidosis and one healthy control).

Results: Excellent correlation was observed between SPOT1ρ and reference T1ρ values, along with co-registered bright- and black-blood images in phantom and patients.

Impact: The proposed single-click SPOT1ρ permits easier and faster planning for MR technicians, more comfort for the patient, promoted by fewer breath-holds, and a simplified interpretation for the radiologists, through co-registered, qualitative, and quantitative images.

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