Automated coronary calcium detection and scoring on multicenter, multiprotocol noncontrast CT

Coronary artery plaques were accurately detected and segmented using the proposed nnU-Net-based method on noncontrast CT scans. The Agatston-score-based plaque burden assessment facilitates cardiovascular risk stratification, enabling opportunistic screening and population-based studies.

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Publication Details

Journal
Journal of Medical Imaging
Published
2025-11-13
DOI
https://doi.org/10.1117/1.jmi.12.6.064502
Primary Topic
Cardiac Imaging and Diagnostics
Type
article
Field-Weighted Citation Impact
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article

Automated coronary calcium detection and scoring on multicenter, multiprotocol noncontrast CT

R. Summers, Tejas Sudharshan Mathai, Perry Joseph Pickhardt, Peter C. Grayson et al.
Journal of Medical Imaging
Cardiac Imaging and Diagnostics
article

Automated coronary calcium detection and scoring on multicenter, multiprotocol noncontrast CT

R. Summers, Tejas Sudharshan Mathai, Perry Joseph Pickhardt, Peter C. Grayson, Andrew Nguyen, Jianfei Liu
article en

Abstract

Coronary artery plaques were accurately detected and segmented using the proposed nnU-Net-based method on noncontrast CT scans. The Agatston-score-based plaque burden assessment facilitates cardiovascular risk stratification, enabling opportunistic screening and population-based studies.

Journal of Medical ImagingVol. 12(06)
National Institutes of Health (US), University of Wisconsin–Madison (US), National Institute of Arthritis and Musculoskeletal and Skin Diseases (US), University of Wisconsin Health (US), Wisconsin Division of Public Health (US), National Institutes of Health Clinical Center (US)
Openalex Percentile: Top 51%
Cardiac Imaging and Diagnostics
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Automated coronary calcium detection and scoring on multicenter, multiprotocol noncontrast CT — R. Summers, Tejas Sudharshan Mathai, et al. · Journal of Medical Imaging (2025) | TGRS Research Map | TGRS