Article

Optimizing the Reduction of Streaking Artifacts in Routine Non-Contrast Chest CT with a Guided Diffusion Deep Learning Method

2025-03-14

Abstract excerpt

This retrospective study introduces a guided diffusion deep learning method to mitigate streaking artifacts in chest CT scans caused by scanner issues, physical effects, patient factors, and helical and multisection techniques. Data from 763 non-contrast CT series (110–140 kVp, 165 mAs average, 0.5–10 mm slices) across four centers included 47,032 artifact-affected and 49,609 artifact-free slices. The model was tr...

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Literature Corpus work: fbd3df95-5011-5839-817a-8d887fc006eb
DOI: 10.20944/preprints202503.1054.v1

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