Blooming Artifact Reduction in Coronary Artery Calcification by A New De-blooming Algorithm: Initial Study
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-defin...
| Main Authors: | , , , , , , , |
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| Format: | Journal Article |
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Nature Publishing Group
2018
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| Online Access: | http://hdl.handle.net/20.500.11937/67860 |
| _version_ | 1848761678038040576 |
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| author | Li, P. Xu, L. Yang, L. Wang, R. Hsieh, J. Sun, Zhonghua Fan, Z. Leipsic, J. |
| author_facet | Li, P. Xu, L. Yang, L. Wang, R. Hsieh, J. Sun, Zhonghua Fan, Z. Leipsic, J. |
| author_sort | Li, P. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T10:35:29Z |
| format | Journal Article |
| id | curtin-20.500.11937-67860 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T10:35:29Z |
| publishDate | 2018 |
| publisher | Nature Publishing Group |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-678602020-04-30T01:54:36Z Blooming Artifact Reduction in Coronary Artery Calcification by A New De-blooming Algorithm: Initial Study Li, P. Xu, L. Yang, L. Wang, R. Hsieh, J. Sun, Zhonghua Fan, Z. Leipsic, J. 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. 2018 Journal Article http://hdl.handle.net/20.500.11937/67860 10.1038/s41598-018-25352-5 http://creativecommons.org/licenses/by/4.0/ Nature Publishing Group fulltext |
| spellingShingle | Li, P. Xu, L. Yang, L. Wang, R. Hsieh, J. Sun, Zhonghua Fan, Z. Leipsic, J. Blooming Artifact Reduction in Coronary Artery Calcification by A New De-blooming Algorithm: Initial Study |
| title | Blooming Artifact Reduction in Coronary Artery Calcification by A New De-blooming Algorithm: Initial Study |
| title_full | Blooming Artifact Reduction in Coronary Artery Calcification by A New De-blooming Algorithm: Initial Study |
| title_fullStr | Blooming Artifact Reduction in Coronary Artery Calcification by A New De-blooming Algorithm: Initial Study |
| title_full_unstemmed | Blooming Artifact Reduction in Coronary Artery Calcification by A New De-blooming Algorithm: Initial Study |
| title_short | Blooming Artifact Reduction in Coronary Artery Calcification by A New De-blooming Algorithm: Initial Study |
| title_sort | blooming artifact reduction in coronary artery calcification by a new de-blooming algorithm: initial study |
| url | http://hdl.handle.net/20.500.11937/67860 |