手术中实时监测组织血流，用光场高光谱成像精准量化氧饱和度。
Intraoperative perfusion assessment by continuous, low-latency hyperspectral light-field imaging: development, methodology, and clinical application
- 采用低延迟光场高光谱系统，实现术中连续氧饱和度分析。
- 处理速度低于170毫秒，满足实时临床需求。
- 结果与外科医生判断一致，适合手术导航和实时决策。
准确评估组织灌注对腹腔手术（尤其是吻合术）至关重要，当前临床多依赖主观视觉判断。高光谱成像（HSI）提供了一种无创、定量的替代方案，但尚未实现与临床流程的持续集成。本研究开发了一套用于术中组织氧饱和度（SO2）分析与可视化的高光谱光场系统，提出一种计算量小的SO2关联方法。通过对比两种高光谱相机（Cubert S5、Cubert X20），实现了<170毫秒和<400毫秒的处理时间，验证了系统的临床应用潜力。结果与外科医生确定的灌注边界高度一致，讨论了相机特性、系统参数及在真实场景中的适用性。
原文摘要 · Abstract (English)
Accurate assessment of tissue perfusion is crucial in visceral surgery, especially during anastomosis. Currently, subjective visual judgment is commonly employed in clinical settings. Hyperspectral imaging (HSI) offers a non-invasive, quantitative alternative. However, HSI imaging lacks continuous integration into the clinical workflow. This study presents a hyperspectral light field system for intraoperative tissue oxygen saturation (SO2) analysis and visualization. We present a correlation method for determining SO2 saturation with low computational demands. We demonstrate clinical application, with our results aligning with the perfusion boundaries determined by the surgeon. We perform and compare continuous perfusion analysis using two hyperspectral cameras (Cubert S5, Cubert X20), achieving processing times of < 170 ms and < 400 ms, respectively. We discuss camera characteristics, system parameters, and the suitability for clinical use and real-time applications.
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