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3D-real-time visualization of blood flow in cerebral aneurysms by light field particle image velocimetry

机译:通过光场粒子图像测速技术实时实时地3D实时显示脑动脉瘤的血流

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Cerebral aneurysms require endovascular treatment to eliminate potentially lethal hemorrhagic rupture by hemostasis of blood flow within the aneurysm. Devices (e.g. coils and flow diverters) promote homeostasis, however, measurement of blood flow within an aneurysm or cerebral vessel before and after device placement on a microscopic level has not been possible so far. This would allow better individualized treatment planning and improve manufacture design of devices. For experimental analysis, direct measurement of real-time microscopic cerebrovascular flow in micro-structures may be an alternative to computed flow simulations. An application of microscopic aneurysm flow measurement on a regular basis to empirically assess a high number of different anatomic shapes and the corresponding effect of different devices would require a fast and reliable method at low cost with high throughout assessment. Transparent three dimensional 3D models of brain vessels and aneurysms may be used for microscopic flow measurements by particle image velocimetry (PIV), however, up to now the size of structures has set the limits for conventional 3D-imaging camera set-ups. On line flow assessment requires additional computational power to cope with the processing large amounts of data generated by sequences of multi-view stereo images, e.g. generated by a light field camera capturing the 3D information by plenoptic imaging of complex flow processes. Recently, a fast and low cost workflow for producing patient specific three dimensional models of cerebral arteries has been established by stereo-lithographic (SLA) 3D printing. These 3D arterial models are transparent an exhibit a replication precision within a submillimeter range required for accurate flow measurements under physiological conditions. We therefore test the feasibility of microscopic flow measurements by PIV analysis using a plenoptic camera system capturing light field image sequences. Averaging across a sequence of single double or triple shots of flashed images enables reconstruction of the real-time corpuscular flow through the vessel system before and after device placement. This approach could enable 3D-insight of microscopic flow within blood vessels and aneurysms at submillimeter resolution. We present an approach that allows real-time assessment of 3D particle flow by high-speed light field image analysis including a solution that addresses high computational load by image processing. The imaging set-up accomplishes fast and reliable PIV analysis in transparent 3D models of brain aneurysms at low cost. High throughput microscopic flow assessment of different shapes of brain aneurysms may therefore be possibly required for patient specific device designs.
机译:脑动脉瘤需要进行血管内治疗,以消除由于动脉瘤内血流的止血而引起的潜在致命性出血性破裂。装置(例如线圈和分流器)可促进动态平衡,但是,迄今为止尚无法以微观水平测量在动脉瘤或脑血管内的血液流动。这将允许更好的个性化治疗计划并改善设备的制造设计。对于实验分析,直接测量微结构中实时显微脑血管流量可能是计算流量模拟的替代方法。定期应用显微动脉瘤流量测量以经验地评估大量不同的解剖形状以及不同设备的相应效果,将需要一种低成本,快速且可靠的方法,并且需要较高的整体评估。脑血管和动脉瘤的透明三维3D模型可用于通过粒子图像测速(PIV)进行微观流量测量,但是,到目前为止,结构的尺寸为常规3D成像相机设置设定了限制。在线流量评估需要额外的计算能力,以处理由多视图立体图像序列(例如,图像序列)生成的大量数据的处理。由光场相机生成的图像,通过对复杂流程的全光成像捕获3D信息。近来,已经通过立体光刻(SLA)3D打印建立了用于产生患者特定的脑动脉三维模型的快速且低成本的工作流程。这些3D动脉模型是透明的,在生理条件下进行精确流量测量所需的亚毫米范围内具有复制精度。因此,我们使用捕获光场图像序列的全光相机系统通过PIV分析测试了微观流量测量的可行性。在闪烁图像的单次两次或三次射击序列中取平均值,可以重建在放置装置之前和之后通过血管系统的实时微粒流。这种方法可以在亚毫米分辨率下对血管和动脉瘤内的微观流动进行3D透视。我们提出一种允许通过高速光场图像分析实时评估3D粒子流的方法,其中包括一种解决方案,可以通过图像处理解决高计算量。成像设置可在透明的脑动脉瘤3D模型中以低成本完成快速可靠的PIV分析。因此,对于患者特定的设备设计,可能需要对不同形状的脑动脉瘤进行高通量微观流评估。

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