Computer-aided Veress needle guidance using endoscopic optical coherence tomography and convolutional neural networks.
Computer-aided Veress needle guidance using endoscopic optical coherence tomography and convolutional neural networks.
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使用内窥镜光学相干断层扫描和卷积神经网络的计算机辅助Veress针引导。
DOI：
10.1002/jbio.202100347
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发表时间：
2022-05
影响因子：
2.8
通讯作者：
Tang, Qinggong
中科院分区：
文献类型：
--
作者：
Wang, Chen;Reynolds, Justin C.;Calle, Paul;Ladymon, Avery D.;Yan, Feng;Yan, Yuyang;Ton, Sam;Fung, Kar-ming;Patel, Sanjay G.;Yu, Zhongxin;Pan, Chongle;Tang, Qinggong
在腹腔镜手术中，气腹针通常用于建立气腹。对于外科医生来说，精确放置气腹针仍然是一个挑战。在本研究中，开发了一种计算机辅助内窥镜光学相干断层扫描（OCT）系统，以有效和安全地引导气腹针插入。通过对猪样本的皮下脂肪、肌肉、腹腔和小肠成像来测试该内窥镜系统，以模拟手术过程，包括小肠损伤的情况。每个组织层在具有独特特征的OCT图像中可视化，随后用于开发通过识别组织层（或空间）并估计针到组织距离来自动定位Veress针尖的系统。我们在自动组织分类和距离估计中使用卷积神经网络（CNN）。组织分类的平均测试准确率为98.53± 0.39%，距离估计的平均测试相对误差为4.42±0.56%（36.09±4.92 μm）。气腹针用于腹腔镜手术中建立气腹。精确放置气腹针仍然是一个挑战。在本研究中，开发了一种计算机辅助内窥镜光学相干断层扫描（OCT）系统，用于引导气腹针插入。可以从OCT图像中区分和识别不同的组织类型。此外，卷积神经网络（CNN）用于自动组织分类和估计针尖与组织之间的距离。
During laparoscopic surgery, the Veress needle is commonly used in pneumoperitoneum establishment. Precise placement of the Veress needle is still a challenge for the surgeon. In this study, a computer-aided endoscopic optical coherence tomography (OCT) system was developed to effectively and safely guide Veress needle insertion. This endoscopic system was tested by imaging subcutaneous fat, muscle, abdominal space, and the small intestine from swine samples to simulate the surgical process, including the situation with small intestine injury. Each tissue layer was visualized in OCT images with unique features and subsequently used to develop a system for automatic localization of the Veress needle tip by identifying tissue layers (or spaces) and estimating the needle-to-tissue distance. We used convolutional neural networks (CNNs) in automatic tissue classification and distance estimation. The average testing accuracy in tissue classification was 98.53±0.39%, and the average testing relative error in distance estimation reached 4.42±0.56% (36.09±4.92 μm). Veress needle is used in pneumoperitoneum establishment during laparoscopic surgery. Precise placement of the Veress needle is still a challenge. In this study, a computer-aided endoscopic optical coherence tomography (OCT) system was developed to guide Veress needle insertion. Different tissue types can be distinguished and recognized from the OCT images. Additionally, convolutional neural networks (CNNs) were utilized in automatic tissue classification and estimating the distance between needle tip and tissue.
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影响因子：
7.2
作者：
Hasson, HM;Rotman, C;Kumari, NA
通讯作者：
Kumari, NA
影响因子：
3.5
作者：
Han, Shuo;Sarunic, Marinko V.;Yang, Changhuei
通讯作者：
Yang, Changhuei
影响因子：
9.8
作者：
Jansen, FW;Kolkman, W;Trimbos, JB
通讯作者：
Trimbos, JB
影响因子：
2.6
作者：
Belachew, M;Legrand, M;Deschamps, V
通讯作者：
Deschamps, V
影响因子：
3.6
作者：
Chen, ZP;Milner, TE;Nelson, JS
通讯作者：
Nelson, JS