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增强外围注射针的引导,使用带有卷积神经网络的极化敏感光学连贯性断层扫描探针

Chen Wang¹, Yunlong Liu², Paul Calle²

¹Stephenson School of Biomedical Engineering, University of Oklahoma, Norman, Oklahoma, USA.

Journal of biophotonics

|October 13, 2023

概括

这项研究引入了一个极化敏感的光学连贯性断层扫描 (PS-OCT) 探针,用于精确的外围注射针放置. 通过卷积神经网络增强的PS-OCT系统显著提高了识别外周组织的准确性.

科学领域:

医疗成像医学成像
生物医学工程生物医学工程
麻醉学麻醉学

背景情况:

外周麻醉对于手术疼痛管理至关重要.
精确的外围注射针放置在技术上是具有挑战性的.
目前的方法缺乏足够的实时指导.

研究的目的:

开发和评估一种使用偏振敏感光学连贯断层扫描 (PS-OCT) 进行增强外围注射针放置的新型探针.
评估多式成像模式对组织分化的有效性.
实施机器学习用于自动组织分类.

主要方法:

开发了一种PS-OCT探头,并在猪脊髓样本上进行了测试.
多模式成像包括OCT强度和三个PS-OCT模式 (相延迟,光轴,DOPU).
卷积神经网络 (CNN),特别是ResNet50模型,被训练用于自动组织识别.

主要成果:

每种成像模式都表现出不同的特征,用于分类外周膜组织.
美国有线电视新闻网 (CNN) 的模型实现了自主组织识别.
极化均度 (DOPU) 模式显示了最高的交叉测试准确度,为91.53%.

结论:

PS-OCT为引导外周麻醉针的放置提供了更高的精度.
开发的探头和人工智能驱动的分析为一个具有挑战性的临床问题提供了有希望的解决方案.
这项技术有可能提高患者安全和程序成功率.

关键词:

这是深度学习.一个内镜,一个内镜,一个内镜.外周麻醉指导指导指南对偏振敏感的光学连贯性断层扫描.

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