机构：[1]Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, 100029, China.医技科室医学影像科首都医科大学附属安贞医院[2]MICT Engineering, GE Healthcare, Waukesha, WI, 53188, USA.[3]Department of Medical Radiation Sciences, Curtin University, Perth, 6845, Australia.[4]Department of Radiology, St Paul’s Hospital and University of British Columbia, Vancouver, BC, V6Z 1Y6, Canada.
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.
基金：
National Key R&D Program of China [2016YFC1300300]; Natural Science Foundation of ChinaNational Natural Science Foundation of China [81641069, 81271542]
第一作者机构：[1]Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, 100029, China.
通讯作者：
通讯机构：[1]Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, 100029, China.
推荐引用方式(GB/T 7714)：
Ping Li,Lei Xu,Lin Yang,et al.Blooming Artifact Reduction in Coronary Artery Calcification by A New De-blooming Algorithm: Initial Study[J].SCIENTIFIC REPORTS.2018,8(1):-.doi:10.1038/s41598-018-25352-5.
APA：
Ping Li,Lei Xu,Lin Yang,Rui Wang,Jiang Hsieh...&Jonathon A. Leipsic.(2018).Blooming Artifact Reduction in Coronary Artery Calcification by A New De-blooming Algorithm: Initial Study.SCIENTIFIC REPORTS,8,(1)
MLA：
Ping Li,et al."Blooming Artifact Reduction in Coronary Artery Calcification by A New De-blooming Algorithm: Initial Study".SCIENTIFIC REPORTS 8..1(2018):-
