Amber Light-Assisted CBI Endoscopy for Superior Deep Vascular Visualization and Blood-Containing Tissue Depth Differentiation.

IF 4.4 2区 医学 Q2 ENGINEERING, BIOMEDICAL
Shipeng Zhang, Tianyu Xie, Gaowa Tuya, Guochen Ning, Longfei Ma, Zhe Zhao, Ye Fu, Hongen Liao
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Abstract

Purpose: A novel compound band imaging (CBI) endoscopy system is introduced to enhance the visualization and depth differentiation of blood-containing tissues within mucosal structures. This system serves as a theranostics tool to supplement white light imaging (WLI), enabling more precise disease diagnosis and treatment.

Methods: The system utilizes a combination of green and red narrow-band light, alongside amber wide-band light, synchronized with a rapid switching strategy and a color CMOS sensor. This design effectively avoids potential hardware cost increases associated with introducing additional narrow-band wavelengths and mitigates alignment challenges inherent in in vivo imaging using multiple narrow-band, time-separated techniques. Advanced image processing methods, including multi-scale HVS-guided contrast enhancement fusion and depth differentiation algorithms for blood-containing tissues, are employed to decouple images from the raw data and fuse spectral information.

Results: The system underwent extensive testing to validate its imaging capabilities and methodology, yielding results that met expectations. Enhanced visibility and depth differentiation of vascular networks were demonstrated in both preclinical and clinical trials, with quantitative analyses confirming its superior performance compared to WLI.

Conclusion: By integrating a sophisticated imaging setup with specialized processing algorithms, significant enhancements in imaging performance are achieved. Comprehensive evaluations confirm the system's feasibility, effectiveness, and potential for clinical translation. With further clinical validation, this system promises to advance endoscopic diagnostics and treatments by improving the clarity of critical vascular structures essential for clinical assessments.

琥珀光辅助CBI内窥镜用于优越的深部血管可视化和含血组织深度分化。
目的:介绍一种新型的复合带成像(CBI)内镜系统,用于增强粘膜结构内含血组织的可视化和深度分化。该系统作为一种辅助白光成像(WLI)的治疗工具,可实现更精确的疾病诊断和治疗。方法:该系统利用绿色和红色窄带光以及琥珀色宽带光的组合,与快速开关策略和彩色CMOS传感器同步。这种设计有效地避免了引入额外窄带波长带来的潜在硬件成本增加,并缓解了使用多种窄带分时技术进行体内成像时固有的对准挑战。采用先进的图像处理方法,包括多尺度hvs引导下的对比度增强融合和含血组织的深度分化算法,将图像与原始数据解耦并融合光谱信息。结果:该系统进行了广泛的测试,以验证其成像能力和方法,结果符合预期。在临床前和临床试验中,血管网络的可见性和深度分化得到了增强,定量分析证实了其优于WLI的性能。结论:通过集成复杂的成像设置和专门的处理算法,可以显著增强成像性能。综合评估证实了该系统的可行性、有效性和临床转化的潜力。随着进一步的临床验证,该系统有望通过提高对临床评估至关重要的关键血管结构的清晰度来推进内窥镜诊断和治疗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
IEEE Transactions on Biomedical Engineering
IEEE Transactions on Biomedical Engineering 工程技术-工程:生物医学
CiteScore
9.40
自引率
4.30%
发文量
880
审稿时长
2.5 months
期刊介绍: IEEE Transactions on Biomedical Engineering contains basic and applied papers dealing with biomedical engineering. Papers range from engineering development in methods and techniques with biomedical applications to experimental and clinical investigations with engineering contributions.
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