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Determining blood flow direction from short neurovascular surgical microscope videos

机译:通过简短的神经血管外科手术显微镜视频确定血流方向

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摘要

Neurovascular surgery aims to repair diseased or damaged blood vessels in the brain or spine. There are numerous procedures that fall under this category, and in all of them, the direction of blood flow through these vessels is crucial information. Current methods to determine this information intraoperatively include static pre-operative images combined with augmented reality, Doppler ultrasound, and injectable fluorescent dyes. Each of these systems has inherent limitations. This study includes the proposal and preliminary validation of a technique to identify the direction of blood flow through vessels using only video segments of a few seconds acquired from routinely used surgical microscopes. The video is enhanced to reveal subtle colour fluctuations related to blood pulsation, and these rhythmic signals are further analysed in Fourier space to reveal the direction of blood flow. The proposed method was validated using a novel physical phantom and retrospective analysis of surgical videos and demonstrated high accuracy in identifying the direction of blood flow.
机译:神经血管外科手术旨在修复大脑或脊柱中患病或受损的血管。有许多程序属于此类别,在所有这些程序中,通过这些血管的血流方向是至关重要的信息。术中确定该信息的当前方法包括结合增强现实技术的静态术前图像,多普勒超声和可注射的荧光染料。这些系统中的每一个都有固有的局限性。这项研究包括一项提案的建议和初步验证,该技术仅使用从常规使用的手术显微镜获得的几秒钟视频片段来识别通过血管的血流方向。视频经过增强,可以揭示与血液搏动相关的细微颜色波动,并且在富立叶空间中进一步分析这些有节奏的信号,以揭示血液流动的方向。所提出的方法已通过新颖的物理体模和对手术录像的回顾性分析得到验证,并在识别血流方向方面显示出很高的准确性。

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