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优化 4D-DSA 时相信息质量。

Optimizing the Quality of 4D-DSA Temporal Information.

机构信息

From the Department of Biomedical Engineering (K.L.R.)

Department of Medical Physics (E.H., M.A.S.).

出版信息

AJNR Am J Neuroradiol. 2019 Dec;40(12):2124-2129. doi: 10.3174/ajnr.A6290. Epub 2019 Oct 31.

Abstract

BACKGROUND AND PURPOSE

Quantification of blood flow using a 4D-DSA would be useful in the diagnosis and treatment of cerebrovascular diseases. A protocol optimizing identification of density variations in the time-density curves of a 4D-DSA has not been defined. Our purpose was to determine the contrast injection protocol most likely to result in the optimal pulsatility signal strength.

MATERIALS AND METHODS

Two 3D-printed patient-specific models were used and connected to a pulsatile pump and flow system, which delivered 250-260 mL/min to the model. Contrast medium (Isovue, 370 mg I/mL, 75% dilution) was injected through a 6F catheter positioned upstream from the inlet of the model. 4D-DSA acquisitions were performed for the following injection rates: 1.5, 2.0, 2.5, 3.0 and 3.5 mL/s for 8 seconds. To determine pulsatility, we analyzed the time-density curve at the inlets using the oscillation amplitude and a previously described numeric metric, the sideband ratio. Vascular geometry from 4D-DSA reconstructions was compared with ground truth and micro-CT measurements of the model. Dimensionless numbers that characterize hemodynamics, Reynolds and Craya-Curtet, were calculated for each injection rate.

RESULTS

The strongest pulsatility signal occurred with the 2.5 mL/s injections. The largest oscillation amplitudes were found with 2.0- and 2.5-mL/s injections. Geometric accuracy was best preserved with injection rates of >1.5 mL/s.

CONCLUSIONS

An injection rate of 2.5 mL/s provided the strongest pulsatility signal in the 4D-DSA time-density curve. Geometric accuracy was best preserved with injection rates above 1.5 mL/s. These results may be useful in future in vivo studies of blood flow quantification.

摘要

背景与目的

使用 4D-DSA 对血流进行定量分析,有助于脑血管疾病的诊断和治疗。目前尚未确定优化 4D-DSA 时间密度曲线密度变化识别的方案。本研究旨在确定最有可能获得最佳脉动信号强度的对比剂注射方案。

材料与方法

使用两个 3D 打印的患者特定模型,连接到脉动泵和流量系统,向模型输送 250-260ml/min 的流速。对比剂(Isovue,370mgI/ml,75%稀释)通过位于模型入口上游的 6F 导管注入。对以下注射速率进行 4D-DSA 采集:1.5、2.0、2.5、3.0 和 3.5ml/s,持续 8 秒。为了确定脉动性,我们使用振荡幅度和之前描述的数字指标——边带比,在入口处分析时间密度曲线。从 4D-DSA 重建的血管几何形状与模型的地面真相和微 CT 测量值进行比较。对于每个注射速率,计算特征血液动力学的无量纲数,雷诺数和克雷亚-库尔特数。

结果

2.5ml/s 注射时出现最强的脉动信号。2.0-2.5ml/s 注射时,振荡幅度最大。注射速率>1.5ml/s 时,几何精度保持最佳。

结论

2.5ml/s 的注射速率在 4D-DSA 时间密度曲线中提供了最强的脉动信号。注射速率高于 1.5ml/s 时,几何精度保持最佳。这些结果可能对未来血流定量的体内研究有用。

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