Improving CTCA image quality by using snapshot freeze technique under prospective and retrospective ECG-gating
1. Department of Radiology, TEDA International Cardiovascular Hospital, Tianjin 300457, China;
2. Department of Radiology, Tianjin Medical University General Hospital, Tianjin 300052, China
摘要目的:评估冠状动脉追踪冻结技术(Snapshot freeze,SSF)在改善CT冠状动脉成像(CTCA)图像质量中的作用。方法:30例进行前瞻性心电门控扫描,30例进行回顾性心电门控扫描,比较标准算法(Standard,STD)重建和SSF重建两种方法的图像质量和可判读性。所获图像由2位医师按Likert 5分制标准对每一冠状动脉节段、每支冠状动脉及每例冠状动脉进行评分。结果:前门控扫描30例,SSF算法重建图像的可判读性按每支(97.8%(88/90) vs 87.8%(79/90),P=0.004)及每段(99.1%(427/431) vs 96.1%(414/431),P=0.000)比较高于STD算法重建图像;图像质量按例数(3.5±0.9 vs 2.9±1.2,P=0.004)、每支(3.5±0.8 vs 3.1±1.0,P=0.000)和每段(3.7±0.8 vs 3.4±1.0,P=0.000)比较,SSF算法均高于STD算法重建图像。后门控扫描30例,45%期相SSF算法重建图像可判读性按例(80.0%(24/30) vs 53.3%(16/30),P=0.039)、分支(90.0%(81/90) vs 71.1%(64/90),P=0.000)、节段(98.1%(413/421) vs 90.7%(382/421),P=0.000)均高于STD算法重建图像;75%期相SSF算法重建图像可判读性按分支(70.0%(63/90) vs 55.6%(50/90),P=0.02)和节段(82.7%(348/421) vs 78.4%(330/421),P=0.018)比较高于STD算法重建图像,SSF算法45%和75%期相图像质量按例数(2.8±1.0 vs 2.1±1.2,P=0.012)(2.1±1.2 vs 1.6±1.0,P=0.026)、分支(3.0±0.9 vs 2.4±1.0,P=0.000)(2.6±1.2 vs 2.2±1.2,P=0.000)和节段(3.3±0.9 vs 2.9±1.0,P=0.000)(2.9±1.2 vs 2.7±1.1,P=0.000)比较均明显高于STD算法重建图像。结论:冠状动脉SSF技术能明显提高前门控和后门控冠状动脉CT图像质量及可判读性,其中对后门控45%期相重建的右冠状动脉图像质量改善作用最为明显。
Abstract:Objective: To assess snapshot freeze(SSF) motion correction algorithm for its value on image quality of computed tomography cornorary angiography(CTCA). Methods: Thirty patients underwent CTCA with prospective ECG-gating and 30 patients underwent CTCA with retrospective ECG-gating. Image quality and interpretability were compared between standard(STD) and SSF reconstructions algorithms. According to Likert 5-points score, score of every segment, branch and cases of patient were interpreted by two experienced radiologists. Results: Thirty patients underwent prospective ECG-gating CTCA and 30 patients underwent retrospective ECG-gating. In prospective ECG-gating group: SSF showed higher interpretability than STD on per-artery(97.8%(88/90) vs 87.8%(79/90), P=0.004) and per-segment level(99.1%(427/431) vs 96.1%(414/431), P=0.000). Image quality was higher with SSF than STD on per-patient(3.5±0.9 vs 2.9±1.2, P=0.004), per-artery(3.5±0.8 vs 3.1±1.0, P=0.000) and per-segment levels(3.7±0.8 vs 3.4±1.0, P=0.000). In retrospective ECG-gating group: SSF showed higher interpretability than STD on per-patient(80.0%(24/30) vs 53.3%(16/30), P=0.039), per-artery(90.0%(81/90) vs 71.1%(64/90), P=0.000), and per-segment levels(98.1%(413/421) vs 90.7%(382/421), P=0.000) of 45% R-R interval images. SSF showed higher interpretability than STD on per-artery(70.0%(63/90) vs 55.6%(50/90), P=0.02) and per-segment levels(82.7%(348/421) vs 78.4%(330/421), P=0.018). Image quality were higher with SSF than STD on per-patient(2.8±1.0 vs 2.1±1.2, P=0.013) (2.1±1.2 vs 1.6±1.0, P=0.026), per-artery(3.0±0.9 vs 2.4±1.0, P=0.000) (2.6±1.2 vs 2.2±1.2, P=0.000) and per-segment levels(3.3±0.9 vs 2.9±1.0, P=0.000) (2.9±1.2 vs 2.7±1.1, P=0.000) of 45% and 75% R-R interval images. Conclusion: SSF could improve the image quality and interpretability of CTCA with prospective and retrospective ECG-gating. Especially, SSF could improve the image quality on RCA by using the 45% R-R interval as the central phase with retrospective ECG-gating.
张计旺1,范丽娟1,徐冬生1,董 智1,李 旭1,张立仁1,于铁链2. 冠状动脉追踪冻结技术在前瞻性和回顾性心电门控下改善CTCA图像质量[J]. 中国临床医学影像杂志, 2016, 27(4): 252-256.
ZHANG Ji-wang1, FAN Li-juan1, XU Dong-sheng1, DONG Zhi1, LI Xu1, ZHANG Li-ren1, YU Tie-lian2. Improving CTCA image quality by using snapshot freeze technique under prospective and retrospective ECG-gating. JOURNAL OF CHINA MEDICAL IMAGING, 2016, 27(4): 252-256.