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Combining near-infrared illuminants to optimize venous imaging

机译:结合近红外光源以优化静脉成像

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摘要

The first and perhaps most important phase of a surgical procedure is the insertion of an intravenous (IV) catheter. Currently, this is performed manually by trained personnel. In some visions of future operating rooms, however, this process is to be replaced by an automated system. We previously presented work for localizing near-surface veins via near-infrared (NIR) imaging in combination with structured light ranging for surface mapping and robotic guidance. In this paper, we describe experiments to determine the best NIR wavelengths to optimize vein contrast for physiological differences such as skin tone and/or the presence of hair on the arm or wrist surface. For illumination, we employ an array of NIR LEDs comprising six different wavelength centers from 740nm to 910nm. We capture imagery of each subject under every possible combination of illuminants and determine the optimal combination of wavelengths for a given subject to maximize vein contrast using linear discriminant analysis.
机译:外科手术的第一个也是最重要的阶段是插入静脉(IV)导管。当前,这是由训练有素的人员手动执行的。但是,在对未来手术室的某些设想中,此过程将由自动化系统代替。我们之前介绍了通过近红外(NIR)成像结合结构化测光进行表面映射和机器人引导来定位近表面静脉的工作。在本文中,我们描述了确定最佳NIR波长的实验,以优化静脉造影剂的生理差异,例如肤色和/或手臂或手腕表面上的头发。对于照明,我们使用了一组NIR LED阵列,其中包括740nm至910nm的六个不同波长中心。我们在每种可能的光源组合下捕获每个对象的图像,并使用线性判别分析确定给定对象的最佳波长组合,以最大化静脉对比度。

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