Blooming Artifact Reduction in Coronary Artery Calcification by A New De-blooming Algorithm: Initial Study
dc.contributor.author | Li, P. | |
dc.contributor.author | Xu, L. | |
dc.contributor.author | Yang, L. | |
dc.contributor.author | Wang, R. | |
dc.contributor.author | Hsieh, J. | |
dc.contributor.author | Sun, Zhonghua | |
dc.contributor.author | Fan, Z. | |
dc.contributor.author | Leipsic, J. | |
dc.date.accessioned | 2018-05-18T08:00:00Z | |
dc.date.available | 2018-05-18T08:00:00Z | |
dc.date.created | 2018-05-18T00:23:06Z | |
dc.date.issued | 2018 | |
dc.identifier.citation | Li, 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. | |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/67860 | |
dc.identifier.doi | 10.1038/s41598-018-25352-5 | |
dc.description.abstract |
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.publisher | Nature Publishing Group | |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
dc.title | Blooming Artifact Reduction in Coronary Artery Calcification by A New De-blooming Algorithm: Initial Study | |
dc.type | Journal Article | |
dcterms.source.volume | 8 | |
dcterms.source.number | 6945 | |
dcterms.source.startPage | 1 | |
dcterms.source.endPage | 8 | |
dcterms.source.issn | 2045-2322 | |
dcterms.source.title | Scientific Reports | |
curtin.department | School of Molecular and Life Sciences (MLS) | |
curtin.accessStatus | Open access |