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三维左心房 CartoSound™与 CT 图像融合准确性验证:呼吸相位和心动周期的影响。

Validation of accuracy of three-dimensional left atrial CartoSound™ and CT image integration: influence of respiratory phase and cardiac cycle.

机构信息

Department of Cardiology, Hirosaki University Graduate School of Medicine, Hirosaki, Japan.

出版信息

J Cardiovasc Electrophysiol. 2013 Sep;24(9):1002-7. doi: 10.1111/jce.12170. Epub 2013 May 2.

Abstract

BACKGROUND

CartoSound™ (CS) module is useful in integrating 3-dimensional (3D) left atrial (LA) image with CT image. Integration method, however, has not been established. We reported the accuracy of LA electroanatomical (EA) and CT image integration by registering LA roof (LAR) and posterior wall (LAPW).

METHODS

The consecutive 56 atrial fibrillation patients undergoing pulmonary vein isolation were studied. In the initial 29 patients, before the transseptal puncture, 3D CS LAR and LAPW image was created by registering a mean of 10 contour lines between the right and left pulmonary veins. After transseptally inserting a mapping catheter into LA, 3D EA image of LAR and LAPW was obtained by sampling a mean of 40 points. LA CT image was taken at the full-inspiratory position and 0% of R-R interval. After visual alignment of CS or EA and LA CT image, the 2 images were integrated with surface registration program. In the latter 27 patients, both CT and CS images were taken while matching the respiratory phase at the end-tidal position and cardiac cycle at 50% of R-R interval.

RESULTS

In the initial 29 patients, the mean distances between EA and CT images and between CS and CT images were 1.53 ± 0.27 and 1.59 ± 0.23 mm, respectively (P = NS). In the latter 27, the mean distance was decreased to 1.08 ± 0.14 mm (P < 0.0001).

CONCLUSIONS

CS system is useful in image integration with 3D CT. Matching both respiratory phase and cardiac cycle between CS and CT image acquisition improves the image integration accuracy.

摘要

背景

CartoSound™(CS)模块可用于将 3 维(3D)左心房(LA)图像与 CT 图像整合。然而,整合方法尚未建立。我们通过注册 LA 房顶(LAR)和后墙(LAPW)报告了 LA 电解剖(EA)和 CT 图像整合的准确性。

方法

连续 56 例接受肺静脉隔离的房颤患者进行了研究。在前 29 例患者中,在经房间隔穿刺前,通过注册右肺静脉和左肺静脉之间的 10 条轮廓线来创建 3D CS LAR 和 LAPW 图像。经房间隔插入到 LA 的标测导管后,通过采样平均 40 个点获得 LAR 和 LAPW 的 3D EA 图像。LA CT 图像在吸气末位和 R-R 间期的 0%时采集。在视觉对齐 CS 或 EA 和 LA CT 图像后,使用表面注册程序将 2 个图像集成。在后 27 例患者中,在呼气末位和 R-R 间期 50%的心脏周期时匹配呼吸相位的同时采集 CT 和 CS 图像。

结果

在前 29 例患者中,EA 和 CT 图像之间以及 CS 和 CT 图像之间的平均距离分别为 1.53±0.27mm 和 1.59±0.23mm(P=NS)。在后 27 例中,平均距离减小到 1.08±0.14mm(P<0.0001)。

结论

CS 系统可用于与 3D CT 的图像整合。在 CS 和 CT 图像采集之间匹配呼吸相位和心脏周期可提高图像整合准确性。

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