Centre for Liver & Digestive Disorders, The Royal Infirmary of Edinburgh, Scotland, UK.
Dig Liver Dis. 2013 Nov;45(11):909-14. doi: 10.1016/j.dld.2013.05.013. Epub 2013 Jul 11.
Three-dimensional imaging in capsule endoscopy is not currently feasible due to hardware limitations. However, software algorithms that enable three-dimensional reconstruction in capsule endoscopy are available.
Feasibility study. A phantom was designed to test the accuracy of three-dimensional reconstruction. Thereafter, 192 small-bowel capsule endoscopy images (of vascular: 50; inflammatory: 73; protruding structures: 69) were reviewed with the aid of a purpose-built three-dimensional reconstruction software. Seven endoscopists rated visualisation improved or non-improved. Subgroup analyses performed for diagnostic category, diagnosis, image surface morphology and colour and SBCE equipment used (PillCam(®) vs. MiroCam(®)).
Overall, phantom experiments showed that the three-dimensional reconstruction software was accurate at 90% of red, 70% of yellow and 45% of white phantom models. Enhanced visualisation for 56% of vascular, 23% of inflammatory and <10% of protruding structures was noted (P=0.007, 0.172 and 0.008, respectively). Furthermore, three-dimensional software application enhanced 53.7% of red, 21.8% of white, 17.3% of red and white, and 9.2% of images of lesions with colour similar to that of the surrounding mucosa, P<0.0001.
Application of a three-dimensional reconstruction software in capsule endoscopy leads to image enhancement for a significant proportion of vascular, but less so for inflammatory and protruding lesions. Until optics technology allows hardware-enabled three-dimensional reconstruction, it seems a plausible alternative.
由于硬件限制，胶囊内镜中的三维成像目前不可行。然而，现已有可用于胶囊内镜中三维重建的软件算法。
可行性研究。设计了一个体模来测试三维重建的准确性。此后，使用专门开发的三维重建软件对 192 例小肠胶囊内镜图像（血管：50 例；炎症：73 例；突出结构：69 例）进行了回顾性分析。7 名内镜医师对视觉改善或未改善进行了评分。对诊断类别、诊断、图像表面形态和颜色以及使用的 SBCE 设备（PillCam(®)与 MiroCam(®)）进行了亚组分析。
总体而言，体模实验表明，三维重建软件在 90%的红色、70%的黄色和 45%的白色体模模型中具有准确性。血管病变的增强可视化率为 56%，炎症病变为 23%，突出结构病变为 <10%（P=0.007、0.172 和 0.008）。此外，三维软件应用可增强 53.7%的红色、21.8%的白色、17.3%的红色和白色、以及 9.2%的与周围黏膜颜色相似的病变图像，P<0.0001。
在胶囊内镜中应用三维重建软件可使血管病变的图像得到显著增强，但对炎症和突出病变的增强效果较小。在光学技术允许硬件启用三维重建之前，它似乎是一种可行的替代方法。
