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3D Reconstruction of virtual colon structures from colonoscopy images

机译:从结肠镜检查图像中虚拟结肠结构的3D重建

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摘要

This paper presents the first fully automated reconstruction technique of 3D virtual colon segments from individual colonoscopy images. It is the basis of new software applications that may offer great benefits for improving quality of care for colonoscopy patients. For example, a 3D map of the areas inspected and uninspected during colonoscopy can be shown on request of the endoscopist during the procedure. The endoscopist may revisit the suggested uninspected areas to reduce the chance of missing polyps that reside in these areas. The percentage of the colon surface seen by the endoscopist can be used as a coarse objective indicator of the quality of the procedure. The derived virtual colon models can be stored for post-procedure training of new endoscopists to teach navigation techniques that result in a higher level of procedure quality. Our technique does not require a prior CT scan of the colon or any global positioning device. Our experiments on endoscopy images of an Olympus synthetic colon model reveal encouraging results with small average reconstruction errors (4.1. mm for the fold depths and 12.1. mm for the fold circumferences).
机译:本文介绍了从单个结肠镜检查图像中获得的第一个3D虚拟结肠段的全自动重建技术。它是新软件应用程序的基础,可以为改善结肠镜检查患者的护理质量带来巨大好处。例如,结肠镜检查期间检查和未检查区域的3D地图可以在检查过程中应内镜医师的要求显示。内镜医师可以重新检查建议的未检查区域,以减少残留在这些区域的息肉的机会。内镜医师看到的结肠表面的百分比可以用作手术质量的粗略客观指标。可以存储派生的虚拟结肠模型,以供新内镜医师进行术后培训,以教授导航技术,从而提高手术质量。我们的技术不需要事先对结肠或任何全球定位设备进行CT扫描。我们在奥林巴斯人工结肠模型的内窥镜图像上的实验显示出令人鼓舞的结果,平均重建误差较小(折叠深度为4.1。mm,折叠周长为12.1 mm)。

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