Accelerated analysis of three-dimensional blood flow of the thoracic aorta in stroke patients
Accelerated analysis of three-dimensional blood flow of the thoracic aorta in stroke patients
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DOI：
10.1007/s10554-014-0511-z
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发表时间：
2014-12-01
影响因子：
2.1
通讯作者：
Harloff, Andreas
中科院分区：
文献类型：
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作者：
Wehrum, Thomas;Kams, Miriam;Harloff, Andreas
测试新软件是否可以加速体内采集的 4D 流 MRI 数据的分析。使用常规 3-Tesla MRI 系统（TIMTRIO，西门子，德国）对 20 名中风患者进行主动脉呼吸门控和心电图同步 4D 血流 MRI。 3D 血流数据由一位经验丰富的观察者使用新的 (A = MEVISFlow) 和广泛使用的软件 (B = EnSight + Velomap-/FlowTool) 进行处理。评估包括：软件 A 的观察者间/观察者内差异以及关于 (1) 血流量化（总流量/峰值流量）和 (2) 血流可视化的软件间比较，以及 (3) 数据可视化和量化所需时间的测量（软件 A 和 B）。 (1) 软件 A 的观察者间/观察者内一致性（平均差千分之一货币符号 5.2 和千分之一货币符号 0.9%）和软件间一致性（平均差千分货币符号 2.2%）较高，峰值和总血流量高度相关（r 千分之一货币符号 0.74；p < 0.001 和 r 千分之一货币符号 0.91；p < 0.001）。 (2)血流可视化比较显示基本一致(kappa 千分之0.68)。 (3) 使用软件 A 时，数据分析速度快了三倍 [18:10 (+/- 1:29) vs. 58:30 (+/- 5:28) 分钟； p < 0.0001]。使用新软件加速血流量化和可视化极大地促进了 4D 血流 MRI 的未来应用，从而使其能够在临床研究和日常工作中用于更大的患者群体。
To test if new software accelerates analysis of in vivo acquired 4D flow MRI data. Respiration-gated and ECG-synchronized 4D flow MRI of the aorta was performed in 20 stroke patients using a routine 3-Tesla MRI system (TIMTRIO, Siemens, Germany). 3D blood flow data was processed by one experienced observer using new (A = MEVISFlow) and widely-used software (B = EnSight + Velomap-/FlowTool). Evaluation included: inter-/intra-observer variability of software A and inter-software comparison regarding (1) blood flow quantification (total-/peak flow) and (2) flow visualisation, plus (3) measurement of the time required for visualization and quantification of data (software A&B). (1) Inter-/intra-observer agreement of software A (mean difference a parts per thousand currency sign5.2 and a parts per thousand currency sign0.9 %, respectively) and inter-software agreement (mean difference a parts per thousand currency sign 2.2 %) was high with high correlation of peak and total blood flow (r a parts per thousand yen 0.74; p < 0.001 and r a parts per thousand yen 0.91; p < 0.001). (2) Comparison of blood flow visualization showed substantial agreement (kappa a parts per thousand yen 0.68). (3) Data-analysis was three times faster when using software A [18:10 (+/- 1:29) vs. 58:30 (+/- 5:28) min; p < 0.0001]. Acceleration of blood flow quantification and visualisation using new software strongly facilitates future applications of 4D flow MRI and thus enables its usage in larger patient cohorts in clinical research and routine.