Three-dimensional representation software as image enhancement tool in small-bowel capsule endoscopy: a feasibility study

Dig Liver Dis. 2013 Nov;45(11):909-14. doi: 10.1016/j.dld.2013.05.013. Epub 2013 Jul 11.

Abstract

Background: 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.

Methods: 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(®)).

Results: 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.

Conclusions: 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.

Keywords: Capsule endoscopy; Enhancement; Feasibility; Inflammatory; Polyps; Reconstruction; Small-bowel; Software; Three-dimensional; Vascular.

Publication types

  • Comparative Study

MeSH terms

  • Algorithms*
  • Capsule Endoscopy / instrumentation*
  • Equipment Design
  • Feasibility Studies
  • Gastrointestinal Hemorrhage / diagnosis*
  • Humans
  • Imaging, Three-Dimensional / methods*
  • Intestine, Small / pathology*
  • Phantoms, Imaging*
  • Reproducibility of Results
  • Software*