Institute of Medical Science, University of Toronto, Toronto, ON.
Department of Medical biophysics, University of Toronto, Toronto, ON.
Br J Radiol. 2019 Nov;92(1103):20190384. doi: 10.1259/bjr.20190384. Epub 2019 Sep 17.
Evaluation of coronary CT image blur using multi segment reconstruction algorithm.
Cardiac motion was simulated in a Catphan. CT coronary angiography was performed using 320 × 0.5 mm detector array and 275 ms gantry rotation. 1, 2 and 3 segment reconstruction algorithm, three heart rates (60, 80 and 100bpm), two peak displacements (4, 8 mm) and three cardiac phases (55, 35, 75%) were used. Wilcoxon test compared image blur from the different reconstruction algorithms.
Image blur for 1, 2 and 3 segments in: 60 bpm, 75% RR interval and 8 mm peak displacement: 0.714, 0.588, 0.571 mm (1.18, 0.6, 0.4 mm displacement) 80 bpm, 35% RR interval and 8 mm peak displacement: 0.869, 0.606, 0.606 mm (1.57, 0.79,0.52 mm displacement) 100 bpm, 35% RR interval and 4 mm peak displacement: 0.645, 0.588, 0.571 mm (0.98, 0.49, 0.33 mm displacement). The median image blur overall for 1 and 2 segments was 0.714 mm and 0.588 mm respectively ( < 0.0001).
Two-segment reconstruction significantly reduces image blur.
Multisegment reconstruction algorithms during CT coronary angiography are a useful method to reduce image blur, improve visualization of the coronary artery wall and help the early detection of the plaque.
使用多节段重建算法评估冠状动脉 CT 图像模糊度。
在 Catphan 中模拟心脏运动。使用 320×0.5mm 探测器阵列和 275ms 机架旋转进行 CT 冠状动脉成像。使用 1、2 和 3 节段重建算法、三种心率（60、80 和 100bpm）、两种峰值位移（4、8mm）和三个心动周期（55、35、75%）。Wilcoxon 检验比较了不同重建算法的图像模糊度。
在以下情况下，1、2 和 3 节段的图像模糊度为：60bpm、75%RR 间期和 8mm 峰值位移：0.714、0.588、0.571mm（1.18、0.6、0.4mm 位移）80bpm、35%RR 间期和 8mm 峰值位移：0.869、0.606、0.606mm（1.57、0.79、0.52mm 位移）100bpm、35%RR 间期和 4mm 峰值位移：0.645、0.588、0.571mm（0.98、0.49、0.33mm 位移）。1 节段和 2 节段的图像模糊度中位数分别为 0.714mm 和 0.588mm（<0.0001）。
双节段重建可显著降低图像模糊度。
CT 冠状动脉成像中的多节段重建算法是一种减少图像模糊度、改善冠状动脉壁可视化并有助于早期发现斑块的有用方法。
