Determining blood flow direction from short neurovascular surgical microscope videos

Healthcare Technology Letters

article

Reid Vassallo¹  Adam Rankin¹  Stephen P. Lownie³  Hitoshi Fukuda⁴  Hidetoshi Kasuya⁵  Benjamin W.Y. Lo⁶  Terry Peters¹  Yiming Xiao¹ 

[1] Robarts Research Institute, Western University;School of Biomedical Engineering, Western University;Department of Clinical Neurological Sciences, Western University;Department of Neurosurgery, Kochi University Hospital;Department of Neurosurgery, Tokyo Women's Medical University Medical Center East;Department of Neurosurgery and Neurointensive Care, Lenox Hill Hospital

关键词: biomechanics;    blood vessels;    image segmentation;    brain;    bone;    blood;    augmented reality;    biomedical optical imaging;    biomedical ultrasonics;    surgery;    diseases;    medical image processing;    haemodynamics;    neurophysiology;    phantoms;    blood flow direction;    short neurovascular surgical microscope videos;    neurovascular surgery;    damaged blood vessels;    static pre-operative images;    routinely used surgical microscopes;    blood pulsation;    surgical videos;    video segments;    subtle colour fluctuations;    Fourier space;    physical phantom;   

DOI  :  10.1049/htl.2019.0080

学科分类：肠胃与肝脏病学

来源: Wiley

【 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.

【 授权许可】

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