Hyperspectral imaging for tissue classification, a way toward smart laparoscopic colorectal surgery
Hyperspectral imaging for tissue classification, a way toward smart laparoscopic colorectal surgery
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DOI：
10.1117/1.jbo.24.1.016002
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发表时间：
2019-01-01
影响因子：
3.5
通讯作者：
Ruers, Theo J. M.
中科院分区：
文献类型：
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作者：
Baltussen, Elisabeth J. M.;Kok, Esther N. D.;Ruers, Theo J. M.
在过去的几十年里，腹腔镜手术已成为结直肠癌患者的金标准。为了克服触觉反馈减少的缺点，实时组织分类可能是非常有益的。在该离体研究中，使用高光谱成像（HSI）来区分肿瘤组织与健康周围组织。每个患者收集脂肪、健康结肠直肠壁和肿瘤组织的样本，并使用两个高光谱相机进行成像，覆盖400至1700 nm的波长范围。数据被随机分为训练集（75%）和测试集（25%）。在特征约简后，采用二次分类器和支持向量机对三种组织类型进行区分。32例患者的组织样本使用两种高光谱相机成像。在测试数据集中，使用两台高光谱相机区分三种组织类型的准确度为0.88（STD = 0.13）。当确定每个患者的准确度时，在测试数据集上获得的平均准确度为0.93（STD = 0.12）。这项研究显示了在结直肠癌手术中使用HSI进行快速组织分类的潜力，这可以改善临床结果。未来的研究应集中在成像整个结肠/直肠标本和翻译的技术，术中设置。(C)作者。由SPIE在知识共享署名4.0未移植许可下发布。
In the last decades, laparoscopic surgery has become the gold standard in patients with colorectal cancer. To overcome the drawback of reduced tactile feedback, real-time tissue classification could be of great benefit. In this ex vivo study, hyperspectral imaging (HSI) was used to distinguish tumor tissue from healthy surrounding tissue. A sample of fat, healthy colorectal wall, and tumor tissue was collected per patient and imaged using two hyperspectral cameras, covering the wavelength range from 400 to 1700 nm. The data were randomly divided into a training (75%) and test (25%) set. After feature reduction, a quadratic classifier and support vector machine were used to distinguish the three tissue types. Tissue samples of 32 patients were imaged using both hyperspectral cameras. The accuracy to distinguish the three tissue types using both hyperspectral cameras was 0.88 (STD = 0.13) on the test dataset. When the accuracy was determined per patient, a mean accuracy of 0.93 (STD = 0.12) was obtained on the test dataset. This study shows the potential of using HSI in colorectal cancer surgery for fast tissue classification, which could improve clinical outcome. Future research should be focused on imaging entire colon/rectum specimen and the translation of the technique to an intraoperative setting. (C) The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License.