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dc.contributor.authorLi, P.
dc.contributor.authorXu, L.
dc.contributor.authorYang, L.
dc.contributor.authorWang, R.
dc.contributor.authorHsieh, J.
dc.contributor.authorSun, Zhonghua
dc.contributor.authorFan, Z.
dc.contributor.authorLeipsic, J.
dc.identifier.citationLi, P. and Xu, L. and Yang, L. and Wang, R. and Hsieh, J. and Sun, Z. and Fan, Z. and Leipsic, J. 2018. Blooming Artifact Reduction in Coronary Artery Calcification by A New De-blooming Algorithm: Initial Study. Scientific Reports. 8 (1): Article ID 6945.

The aim of this study was to investigate the use of de-blooming algorithm in coronary CT angiography (CCTA) for optimal evaluation of calcified plaques. Calcified plaques were simulated on a coronary vessel phantom and a cardiac motion phantom. Two convolution kernels, standard (STND) and high-definition standard (HD STND), were used for imaging reconstruction. A dedicated de-blooming algorithm was used for imaging processing. We found a smaller bias towards measurement of stenosis using the deblooming algorithm (STND: bias 24.6% vs 15.0%, range 10.2% to 39.0% vs 4.0% to 25.9%; HD STND: bias 17.9% vs 11.0%, range 8.9% to 30.6% vs 0.5% to 21.5%). With use of de-blooming algorithm, specificity for diagnosing significant stenosis increased from 45.8% to 75.0% (STND), from 62.5% to 83.3% (HD STND); while positive predictive value (PPV) increased from 69.8% to 83.3% (STND), from 76.9% to 88.2% (HD STND). In the patient group, reduction in calcification volume was 48.1 ± 10.3%, reduction in coronary diameter stenosis over calcified plaque was 52.4 ± 24.2%. Our results suggest that the novel de-blooming algorithm could effectively decrease the blooming artifacts caused by coronary calcified plaques, and consequently improve diagnostic accuracy of CCTA in assessing coronary stenosis.

dc.publisherNature Publishing Group
dc.titleBlooming Artifact Reduction in Coronary Artery Calcification by A New De-blooming Algorithm: Initial Study
dc.typeJournal Article
dcterms.source.titleScientific Reports
curtin.departmentSchool of Molecular and Life Sciences (MLS)
curtin.accessStatusOpen access

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