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在小型光纤光内镜中识别和去除系统诱导的自光

Lei Xiang^1,2, Rouyan Chen^1,2,3, Joanne Tsui Ming Tan^3,4

¹School of Electrical and Mechanical Engineering, University of Adelaide, Adelaide, SA 5005, Australia.

|August 5, 2025

概括

这项研究引入了一种新的算法,用于在光纤光内镜中去除系统诱导的自光. 该方法有效地将真实光与背景噪声区分开来,提高了医学成像的准确性.

科学领域:

生物医学光学生物医学光学
医学成像技术医学成像技术
光光谱学是一种光谱学.

背景情况:

微型光纤光内镜对于医学诊断和研究至关重要.
系统诱导的自光是一种重大挑战,特别是在单纤维系统中.
现有的方法,如双层纤维 (DCF),可以减少但不能消除背景噪声.

研究的目的:

解决对系统诱导的自发光源和去除技术的研究不足的问题.
提出实际方法来抑制和消除系统诱导的自光.
开发一种算法,用于精确的光成像在基于纤维的内镜.

主要方法:

压制静态背景噪声. 压制静态背景噪声.
开发一个最小正方形线性光谱不混合算法,用于可变的自光器件.
在使用幻象和体内动物模型的单纤维DCF血管内成像系统上进行评估.

主要成果:

该算法有效地消除了静态和可变的系统诱导的自发光.
在真实样本光和文物之间实现了准确的区分.
通过光学连贯性断层扫描和组织学验证证实了该方法的有效性.

结论:

拟议的方法为基于纤维的内镜中系统诱导的自光提供了一个强大的解决方案.
它克服了简单的背景减去的局限性,通过解决噪音和文物.
可适应的算法扩大了各种光纤设置和成像代理的适用性.

关键词:

移除文物移除文物双层覆盖的纤维纤维.光内镜光内镜频谱不混合是指光谱不混合.系统自光系统自光.

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