Improving image quality and efficiency of late gadolinium enhancement imaging in patients with cardiac devices with AI denoising

Abstract

Background: Late gadolinium enhancement (LGE) imaging in patients with cardiac implantable electronic devices (CIEDs) can often be compromised by field distortion artefacts originating from the devices. Many artefact reduction sequence modifications reduce signal to noise (SNR) e.g. GRE imaging, reduced echo time (TE), improved resolution to reduce the intravoxel dephasing signal void. Increased averaging can recover SNR, however, this is partially offset by increased scan duration. Free breathing, motion corrected, phase sensitive inversion recovery LGE with wide band inversion (FB WB PSIR) has previously been developed, validated [1] and implemented clinically across many sites for use in patients with cardiac devices. AI denoising may provide a solution to optimise image quality and workflow.