Effect of New Generation Snapshot Freeze Combined With Deep Learning Image Reconstruction on Image Quality of Coronary Artery Calcifications and Their Quantification

SSF2 and DLIR significantly reduce motion artifacts and image noise in non-contrast CACS CT, respectively. SSF2 reduces CACS values and risk stratification.

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Publication Details

Journal
Journal of Computer Assisted Tomography
Published
2025-05-05
DOI
https://doi.org/10.1097/rct.0000000000001765
Citations
1
Primary Topic
Cardiac Imaging and Diagnostics
Type
article
Field-Weighted Citation Impact
1.36
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article

Effect of New Generation Snapshot Freeze Combined With Deep Learning Image Reconstruction on Image Quality of Coronary Artery Calcifications and Their Quantification

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1 citations
Journal of Computer Assisted Tomography
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1.36
article

Effect of New Generation Snapshot Freeze Combined With Deep Learning Image Reconstruction on Image Quality of Coronary Artery Calcifications and Their Quantification

Bingying Zhai, Yongjun Jia, Haifeng Duan, Chuangbo Yang, Nan Yu, Jianying Li
article en
1 citations

Abstract

SSF2 and DLIR significantly reduce motion artifacts and image noise in non-contrast CACS CT, respectively. SSF2 reduces CACS values and risk stratification.

Journal of Computer Assisted TomographyVol. 49(6)
United Imaging Healthcare (China) (CN), Affiliated Hospital of Shaanxi University of Chinese Medicine (CN)
Good health and well-being
Openalex Percentile: Top 21%
Cardiac Imaging and Diagnostics
1.36
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