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Deep Learning Image Reconstruction Combined with SnapShot Freeze 2 Improves CCTA Image Quality in Patients with Atrial Fibrillation: A Retrospective Study

2026-08-18

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<title>Abstract</title> <p> <bold>Objective</bold> To evaluate whether high-strength deep learning image reconstruction (DLIR-H) combined with second-generation whole-heart motion correction (SnapShot Freeze 2, SSF2) improves coronary CT angiography (CCTA) image quality in patients with atrial fibrillation, compared with adaptive statistical iterative reconstruction-V 50% (ASiR-V 50%) combined with SSF2 or firs...

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Literature Corpus work
9b3f8906-6c27-5706-a7e1-03b3e7391e6f
DOI
10.21203/rs.3.rs-10245836/v1
Open publication

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Deep Learning Image Reconstruction Combined with SnapShot Freeze 2 Improves CCTA Image Quality in Patients with Atrial Fibrillation: A Retrospective StudyDOI 10.21203/rs.3.rs-10245836/v1
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