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Graphics processor unit acceleration enables realtime endovascular Doppler optical coherence tomography imaging

机译:图形处理器单元加速使实时血管内多普勒光学相干断层扫描成像

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Endovascular Optical Coherence Tomography (OCT) has previously been used in both bench-top and clinical environments to produce vascular images, and can be helpful in characterizing, among other pathologies, plaque build-up and impedances to normal blood flow. The raw data produced can also be processed to yield high-resolution blood velocity information, but this computation is expensive and has previously only been available a posteriori using post-processing software. Real-time Doppler OCT (DOCT) imaging has been demonstrated before in the skin and eye, but this capability has not been available to vascular surgeons. Graphics Processing Units (GPUs) can be used to dramatically accelerate this type of distributed computation. In this paper we present a software package capable of real-time DOCT processing and circular image display using GPU acceleration designed to operate with catheter-based clinical OCT systems. This image data is overlayed onto structural images providing clinicians with live, high-resolution blood velocity information to complement anatomical data.
机译:血管内光学相干性断层扫描(OCT)以前已被用于支架 - 顶部和临床环境,以产生血管图像,并且可以有助于表征斑块的斑块积聚和阻抗到正常血液流动。也可以处理产生的原始数据以产生高分辨率血液速度信息,但是该计算昂贵并且先前仅使用后处理软件可用后验。实时多普勒OCT(Doct)成像在皮肤和眼睛之前已经证明,但这种能力尚未获得血管外科医生。图形处理单元(GPU)可用于大大加速此类分布式计算。在本文中,我们介绍了一种软件包,该软件包能够使用GPU加速度的实时Doct处理和圆形图像显示器,所述GPU加速度设计成与基于导管的临床OCT系统一起运行。该图像数据覆盖在结构图像上,提供具有Live,高分辨率血液速度信息的临床医生以补充解剖数据。

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