Automated segmentation and characterization of esophageal wall in vivo by tethered capsule optical coherence tomography endomicroscopy.
Automated segmentation and characterization of esophageal wall in vivo by tethered capsule optical coherence tomography endomicroscopy.
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DOI：
10.1364/boe.7.000409
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发表时间：
2016-02
影响因子：
3.4
通讯作者：
G. Ughi;M. Gora;A. Swager;Amna R. Soomro;Catriona N. Grant;Aubrey R. Tiernan;M. Rosenberg;J. Sauk;N. Nishioka;G. Tearney
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文献类型：
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作者：
G. Ughi;M. Gora;A. Swager;Amna R. Soomro;Catriona N. Grant;Aubrey R. Tiernan;M. Rosenberg;J. Sauk;N. Nishioka;G. Tearney
光学相干断层扫描（OCT）是一种光学诊断模式，可以采集食管显微结构的横截面图像，包括巴雷特食管（BE）和相关的发育不良。我们开发了一种可吞咽的栓系胶囊OCT显微内镜（TCE）设备，可采集整个胃肠道（GI）管腔器官的高分辨率图像。该器械有可能成为一种筛查方法，用于识别应进一步转诊进行上消化道内镜检查的食管异常患者。目前，OCT-TCE食管壁数据集的表征是手动执行的，这是耗时且低效的。此外，由于胶囊光学器件最佳地将光聚焦在胶囊壁外约500 µm处，并且当组织与胶囊完全接触时获得最佳质量的图像，因此在成像过程中为操作员提供关于组织接触的反馈至关重要。在这项研究中，我们开发了一种全自动算法，用于分割体内OCT-TCE数据集和食管壁的表征。该算法提供了来自人类临床研究中收集的数据的接触图以及描绘有或无发育不良的BE区域的组织图的二维表示。结果表明，这些技术可以潜在地改善目前的TCE数据采集程序，并提供一个有效的表征病变食管壁。
Optical coherence tomography (OCT) is an optical diagnostic modality that can acquire cross-sectional images of the microscopic structure of the esophagus, including Barrett's esophagus (BE) and associated dysplasia. We developed a swallowable tethered capsule OCT endomicroscopy (TCE) device that acquires high-resolution images of entire gastrointestinal (GI) tract luminal organs. This device has a potential to become a screening method that identifies patients with an abnormal esophagus that should be further referred for upper endoscopy. Currently, the characterization of the OCT-TCE esophageal wall data set is performed manually, which is time-consuming and inefficient. Additionally, since the capsule optics optimally focus light approximately 500 µm outside the capsule wall and the best quality images are obtained when the tissue is in full contact with the capsule, it is crucial to provide feedback for the operator about tissue contact during the imaging procedure. In this study, we developed a fully automated algorithm for the segmentation of in vivo OCT-TCE data sets and characterization of the esophageal wall. The algorithm provides a two-dimensional representation of both the contact map from the data collected in human clinical studies as well as a tissue map depicting areas of BE with or without dysplasia. Results suggest that these techniques can potentially improve the current TCE data acquisition procedure and provide an efficient characterization of the diseased esophageal wall.