ArticleEuropean journal of radiology open2020
Measurement of coronary artery calcium volume using ultra-high-resolution computed tomography: A preliminary phantom and cadaver study.
Article in European journal of radiology open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed.
- Super-Resolution Deep Learning Reconstruction Improves Image Quality of Dynamic Myocardial Computed Tomography Perfusion Imaging.Tomography (Ann Arbor, Mich.) · 2026Article
- Influence of deep learning-based super-resolution reconstruction on Agatston score.European radiology · 2025Article
- Improved stent sharpness evaluation with super-resolution deep learning reconstruction in coronary CT angiography.The British journal of radiology · 2024Article
- Super resolution deep learning reconstruction for coronary CT angiography: A structured phantom study.European journal of radiology open · 2024Article
- A CNN-based denoising method trained with images acquired with electron density phantoms for thin-sliced coronary artery calcium scans.Journal of applied clinical medical physics · 2024Article
- Comparison of visibility of in-stent restenosis between conventional- and ultra-high spatial resolution computed tomography: coronary arterial phantom study.Japanese journal of radiology · 2022Article
- Global illumination rendering versus volume rendering for the forensic evaluation of stab wounds using computed tomography.Scientific reports · 2022Article
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9 authors.
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Abstract
objectivesIn this phantom- and cadaver study we investigated the differences of coronary artery calcium (CAC) volume on ultra-high-resolution computed tomography (U-HRCT) scans and conventional CT.
methodsWe scanned a coronary calcium phantom and the coronary arteries of five cadavers using U-HRCT in normal- and super-high resolution (NR, SHR) mode. The NR mode was similar to conventional CT; 896 detector channels, a matrix size of 512, and a slice thickness of 0.5 mm were applied. In SHR mode, we used 1792 detector channels, a matrix size of 1024, and a slice thickness of 0.25 mm. The CAC volume on NR- and SHR images were recorded. Differences in the physical- and the calculated CAC volume were defined as the error value and compared between NR- and SHR images of the phantom. Differences between the CAC volume on NR- and SHR scans of the cadavers were also recorded.
resultsThe mean error value was lower on SHR- than NR images of the phantom (14.0 %, SD 11.1 vs 20.1 %, SD 15.2, p = 0.01). The mean CAC volume was significantly higher on SHR- than NR images of the cadavers (153.4 mm
conclusionsAs small calcifications were more clearly visualized on U-HRCT images in SHR mode than on conventional (NR) CT scans, SHR imaging may facilitate the accurate quantification of the CAC.
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