Metal artefact reduction and deep learning reconstruction restore coronary calcium analysability near pacemaker leads: a phantom study

In a phantom, metal artefact reduction (MAR) restored analysability of coronary artery calcium near pacemaker leads, and deep learning reconstruction (DLR) yielded lowest artefact and CT offset. MAR had minimal effect without metal present.

• All tested reconstruction methods (filtered back projection, hybrid iterative, deep learning) showed significant reduction in CT value offset and relative artefact index after MAR.
• Without a pacemaker lead, MAR had negligible influence on CAC measurements.

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