Nagesh S V Setlur, Shields A, Wu X, Ionita C, Bednarek D R, Rudin S
Canon Stroke and Vascular Research Center, University at Buffalo, Buffalo, NY.
Proc SPIE Int Soc Opt Eng. 2022 Feb-Mar;12031. doi: 10.1117/12.2611754. Epub 2022 Apr 4.
High temporal resolution images acquired using 1000fps HSAngio can be used to visualize blood flow patterns and derive flow velocities during neurointerventional procedures. In this work we use this technology to quantify the changes in the blood flow velocities inside a cerebral aneurysm after treatment with three different stents with varying degrees of metal coverage density; stent A : <2%, stent B: 23% and stent C: 40%. A 3D printed in-vitro model of internal carotid artery aneurysm was connected to a flow loop (60% water, 40% glycerol solution used as circulation fluid, circulation flow rate 8 L/s). An automatic programmable injector (KD Scientific Legato 110) was used to inject iodine contrast agent at a rate of 88 mL/min in 3secs. 1000 fps HSAngio sequences of the contrast injection were acquired using an Aries single photon counting detector (Direct Conversion Inc., Stockholm). From these images blood flow velocities were calculated using an optical flow algorithm. As expected the biggest reduction in blood flow velocity inside the aneurysm was 32.4% after deployment of stent C. However, the velocity profile distribution indicated there was still a significant inflow jet into the aneurysm which could be caused by a endoluminal leak between the stent and the vessel wall. The average reduction was only 14% after placement of stent B and 3% after placement of stent A. Blood velocity distribution maps derived using 1000fps HSAngiography technology can be used to evaluate the quality of flow diversion within the aneurysm after placement of stent. Critical information such as endo luminal leakage which can cause treatment failure can also be detected.
使用1000帧/秒的HSAngio采集的高时间分辨率图像可用于在神经介入手术过程中可视化血流模式并推导流速。在这项工作中,我们使用这项技术来量化在使用三种不同金属覆盖密度的支架治疗后脑动脉瘤内血流速度的变化;支架A:<2%,支架B:23%,支架C:40%。将一个3D打印的颈内动脉动脉瘤体外模型连接到一个流动回路(使用60%水、40%甘油溶液作为循环流体,循环流速8 L/s)。使用自动可编程注射器(KD Scientific Legato 110)以88 mL/分钟的速率在3秒内注入碘造影剂。使用白羊座单光子计数探测器(Direct Conversion Inc., Stockholm)采集造影剂注射的1000帧/秒HSAngio序列。从这些图像中,使用光流算法计算血流速度。正如预期的那样,在部署支架C后,动脉瘤内血流速度的最大降低为32.4%。然而,速度剖面分布表明,动脉瘤内仍有明显的流入射流,这可能是由支架与血管壁之间的腔内漏血引起的。放置支架B后平均降低仅为14%,放置支架A后为3%。使用1000帧/秒血管造影技术得出的血流速度分布图可用于评估放置支架后动脉瘤内血流分流的质量。还可以检测到诸如腔内漏血等可能导致治疗失败的关键信息。