ArticleJournal of applied clinical medical physics2024
Enhancing diagnostic performance and image quality in coronary CT angiography: Impact of SnapShot Freeze 2 algorithm across varied heart rates in stent patients.
Article in Journal of applied clinical medical physics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Clinical evaluation of a motion correction software based on partial angle reconstruction in coronary CT angiography.The international journal of cardiovascular imaging · 2026Article
- Improving cardiac computed tomography angiography image quality and diagnostic confidence for atrial fibrillation after left atrial appendage closure using a second-generation whole-heart motion correction algorithm.Quantitative imaging in medicine and surgery · 2026Article
- The effect of a whole-heart motion correction algorithm on image quality, calcium score, and risk category classification of non-contrast-enhanced cardiac CT.Japanese journal of radiology · 2025Article
- Minimizing radiation dose in coronary CT angiography using dual single-cardiac phase acquisition with a whole-heart motion correction technology: a prospective randomized study on image quality.Quantitative imaging in medicine and surgery · 2025Article
- Enhancing diagnostic performance and image quality in coronary CT angiography: Impact of SnapShot Freeze 2 algorithm across varied heart rates in stent patients.Journal of applied clinical medical physics · 2024Article
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8 authors.
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Abstract
purposeTo investigate the enhancement of image quality achieved through the utilization of SnapShot Freeze 2 (SSF2), a comparison was made against the results obtained from the original SnapShot Freeze algorithm (SSF) and standard motion correction (STND) in stent patients undergoing coronary CT angiography (CCTA) across the entire range of heart rates. MATERIALS AND
methodsA total of 118 patients who underwent CCTA, were retrospectively included in this study. Images of these patients were reconstructed using three different algorithms: SSF2, SSF, and STND. Objective assessments include signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), diameters of stents and artifact index (AI). The image quality was subjectively evaluated by two readers.
resultsCompared with SSF and STND, SSF2 had similar or even higher quality in the parameters (AI, SNR, CNR, inner diameters) of coronary artery, stent, myocardium, MV (mitral valve), TV (tricuspid valve), AV (aorta valve), and PV (pulmonary valve), and aortic root (AO). Besides the above structures, SSF2 also demonstrated comparable or even higher subjective scores in atrial septum (AS), ventricular septum (VS), and pulmonary artery root (PA). Furthermore, the enhancement in image quality with SSF2 was significantly greater in the high heart rate group compared to the low heart rate group. Moreover, the improvement in both high and low heart rate groups was better in the SSF2 group compared to the SSF and STND group. Besides, when using the three algorithms, an effect of heart rate variability on stent image quality was not detected.
conclusionCompared to SSF and STND, SSF2 can enhance the image quality of whole-heart structures and mitigate artifacts of coronary stents. Furthermore, SSF2 has demonstrated a significant improvement in the image quality for patients with a heart rate equal to or higher than 85 bpm.
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