Evidence map›Paper›PMID 42745134›Full record

ArticleJournal of applied clinical medical physics2026

Motion correction algorithm improves right coronary artery image quality at heart rates > 75 bpm in non-ECG-gated coronary CT angiography.

Meiqi Wang, Li Tao, Wen Li, YouHong Cao, Hao Wu, Zhiwei Zhang

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Article in Journal of applied clinical medical physics, 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

6 authors.

Meiqi WangDepartment of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Li TaoDepartment of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Wen LiDepartment of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
YouHong CaoDepartment of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Hao WuDepartment of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Zhiwei ZhangDepartment of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.

Funding

First Affiliated Hospital of Chongqing Medical University CYYY-DSTDXM202510
6 · The paper itself

Abstract

backgroundMotion artifacts caused by cardiac pulsation remain a major technical challenge in coronary CT angiography (CCTA). Although an advanced cardiac motion correction (CMC) algorithm has been developed and successfully implemented in clinical practice, the effectiveness of this algorithm in improving coronary image quality in clinical settings has not yet been fully investigated. PURPOSE: To evaluate the impact and clinical value of a motion correction algorithm on image quality in non-ECG-gated CCTA.

methodsWe retrospectively enrolled 76 patients who underwent CCTA for suspected coronary artery disease. Based on the mean heart rate (HR) recorded during scanning, patients were divided into three groups: low HR (HR ≤ 60 bpm), intermediate HR (60 < HR < 75 bpm), and high HR (HR ≥ 75 bpm). All images were reconstructed using both standard algorithm (STD) and CMC algorithms. The performance of STD and CMC was compared across different HR conditions in terms of subjective (4-point Likert scale, interpretability) and objective image quality (signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), and vessel sharpness).

resultsAt high HRs, the difference in subjective image quality of the right coronary artery (RCA) between STD and CMC reached statistical significance (p < 0.05). Compared with STD, CMC significantly improved the interpretability of the RCA at high HRs (p < 0.001). No statistically significant differences were observed between the two algorithms in terms of SNR or CNR (p > 0.05). However, at high HRs, CMC was significantly superior to STD with respect to vessel sharpness of the RCA (p < 0.001).

conclusionsThe CMC improves image quality in CCTA, with particularly notable benefits for the RCA under high HR conditions.

Indexed as

AlgorithmsArtifactsComputed Tomography AngiographyCoronary AngiographyCoronary Artery DiseaseCoronary VesselsHeart RateImage Processing, Computer-AssistedRadiographic Image Interpretation, Computer-AssistedAgedElectrocardiographyFemaleHumansMaleMiddle AgedMovementartifactsCoronary computed tomography angiographyheart ratemotion correction

Identifiers

PMID42745134
PMCPMC13578101

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.