Evidence map›Paper›PMID 42719256›Full record

ArticleCardiovascular diagnosis and therapy2026

Simulation of calcium blooming artifacts in coronary CT angiography from digital phantoms.

Xiaoling Wang, Guanyu Li, Shiteng Suo, Sant Kumar, Jiayue Huang, Jianhua Ma, Yongbo Wang, Xuhui Zhou, Yiqiang Yang, Shengxian Tu

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Article in Cardiovascular diagnosis and therapy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Xiaoling WangBiomedical Instrument Institute, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.
Guanyu LiBiomedical Instrument Institute, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.
Shiteng SuoDepartment of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Sant KumarDepartment of Cardiology, Creighton University, School of Medicine, Phoenix, AZ, USA.
Jiayue HuangBiomedical Instrument Institute, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.
Jianhua MaThe Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, China.
Yongbo WangThe Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, China.
Xuhui ZhouDepartment of Radiology, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Yiqiang YangDepartment of Active Medical Device Inspection, Shanghai Medical Device and Cosmetics Evaluation and Verification Center, Shanghai, China.
Shengxian TuBiomedical Instrument Institute, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Calcium blooming artifacts, predominantly caused by the partial volume effect, may limit the accuracy of coronary stenosis assessment on coronary computed tomography angiography (CTA). Existing comparative tests or physical phantoms to evaluate de-blooming methods are costly, time-consuming, and limited in geometry and materials. This study developed a computational method to simulate CTA images incorporating calcified plaques from digital phantoms to help understand the characteristics of blooming artifacts. Methods: Digital vascular phantoms with different plaque geometries and stenosis severities were created and imaged by computed tomography (CT) simulation. To assess the accuracy of simulation, CT images of three-dimensional (3D)-printed physical phantoms were acquired by CT scanners. To investigate the consistency of the impacts of tube voltage and reconstruction kernel on calcium blooming artifacts, both simulated and acquired CT images were quantitatively analyzed. Results: The average structural similarity index measure (SSIM) of simulated and acquired images was 0.94±0.04. CT number, image noise and calcified area comparison between the simulated and corresponding acquired images showed good agreement. Normalized calcified area was 1.12±0.13, 1.05±0.12, 0.99±0.11 (P<0.001), for 80, 100 and 120 kV, respectively, across the simulated and acquired images. Normalized calcified area was 0.93±0.04, 0.96±0.06, 1.02±0.05, and 1.07±0.16, for reconstruction kernels from sharp to soft (P<0.001) for simulated images; result was 0.99±0.17 (sharp) Conclusions: Simulated CT images from digital phantoms resembled the acquired images by CT scanners. Tube voltages and reconstruction kernels significantly affected the extent of calcium blooming artifacts both for simulated and acquired images. The proposed framework for calcium blooming artifacts may provide an

Indexed as

Coronary artery diseasedigital phantom and modelingmedical imaging simulationvascular plaque characterization

Identifiers

PMID42719256
PMCPMC13554304

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