通过一个基于卷积神经网络的光学连贯性断层扫描内镜指导穿皮性神经切除术
Chen Wang1, Paul Calle2, Feng Yan1
1Stephenson School of Biomedical engineering, University of Oklahoma, Norman, OK, 73019, USA.
这项研究引入了内镜光学连贯性断层扫描探针,用于更安全的脏接入手术. 它准确地识别组织并检测血液流动,改善皮肤穿术程序.
科学领域:
- 泌尿器科 泌尿器科 泌尿器科 泌尿器科
- 医疗成像医学成像
- 手术导航 手术导航
背景情况:
- 穿皮瘤切除术是一种常见的泌尿器科干预.
- 挑战包括精确地放置针头,避免血管破裂导致的出血.
研究的目的:
- 开发一个内镜光学连贯性断层扫描 (OCT) 探针,用于通过皮肤进行瘤切除时增强针导航.
- 为了提高脏接入手术的安全性和准确性.
主要方法:
- 开发用于实时成像的内镜OCT探针.
- 对31个人类脏进行的实验用于组织和血管分析.
- 利用深度学习模型 (Inception 和 nnU-net) 进行自动识别.
主要成果:
- 使用结构性OCT成像,有效地区分组织 (皮质,脑髓,阴道,鼻脂肪,骨盆).
- 通过OCT多普勒函数成功检测脏血流.
- 实现了高精度:99.6%的组织分类 (Inception) 和0.8917IoU的血管检测 (nnU-net).
结论:
- 内镜OCT探针可以精确识别脏结构和血管.
- 深度学习集成自动识别,增强程序安全.
- 这项技术具有显著的潜力,可以改善穿皮瘤术的结果.
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