Evaluation of endoscopic entire 3D image acquisition of the digestive tract using a stereo endoscope

Evaluation of endoscopic entire 3D image acquisition of the digestive tract using a stereo endoscope
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使用立体内窥镜评估消化道内窥镜完整 3D 图像采集

DOI:
10.1117/12.2250774
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发表时间:
2017
期刊:
Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XV
影响因子:
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通讯作者:
Kenji Yamada
Kenji Yamada
中科院分区:
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文献类型:
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作者:
Kayo Yoshimoto;Kenji Watabe;Tetsuji Fujinaga;Hideki Iijima;Masahiko Tsujii;Hideya Takahashi;Tetsuo Takehara;Kenji Yamada

文献摘要

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由于内窥镜的视角较窄,很难一次性获得消化道的完整图像。如果消化道中存在两个以上的病变,则难以理解病变之间的3D位置关系。CT仿真内窥镜是目前获得消化道全貌的标准方法。由于虚拟内窥镜旨在检测表面的不规则性,因此无法检测缺乏不规则性的病变,包括早期癌症。在这项研究中,我们提出了一种方法,内窥镜整个三维图像采集的消化道使用立体内窥镜。方法如下:1)通过移动内窥镜捕获消化道的连续图像,2)通过立体图像重建每帧的3D表面图案,3)通过图像分析估计内窥镜的位置,4)通过组合3D表面图案重建消化道的整个图像。为了证实该方法的有效性,我们对一个直管进行了实验,在直管内以20 mm的等距离分配圆。我们捕获了序列图像,并且该管的重建图像显示每个圆之间的距离为20.2 ± 0.3 mm(n=7)。结果表明,这种内窥镜全三维图像采集方法可以帮助我们了解三维位置关系的病变,如早期食管癌,不能通过使用CT的虚拟内窥镜检测。
Because the view angle of the endoscope is narrow, it is difficult to get the whole image of the digestive tract at once. If there are more than two lesions in the digestive tract, it is hard to understand the 3D positional relationship among the lesions. Virtual endoscopy using CT is a present standard method to get the whole view of the digestive tract. Because the virtual endoscopy is designed to detect the irregularity of the surface, it cannot detect lesions that lack irregularity including early cancer. In this study, we propose a method of endoscopic entire 3D image acquisition of the digestive tract using a stereo endoscope. The method is as follows: 1) capture sequential images of the digestive tract by moving the endoscope, 2) reconstruct 3D surface pattern for each frame by stereo images, 3) estimate the position of the endoscope by image analysis, 4) reconstitute the entire image of the digestive tract by combining the 3D surface pattern. To confirm the validity of this method, we experimented with a straight tube inside of which circles were allocated at equal distance of 20 mm. We captured sequential images and the reconstituted image of the tube revealed that the distance between each circle was 20.2 ± 0.3 mm (n=7). The results suggest that this method of endoscopic entire 3D image acquisition may help us understand 3D positional relationship among the lesions such as early esophageal cancer that cannot be detected by virtual endoscopy using CT.