Photometric stereo reconstruction for surface analysis of mucosal tissue

Emrith, Khemraj; Slabaugh, Greg; Poullis, Andrew Poullis3; Goves, Chris; Smith, Melvyn

Abstract

We introduce photometric stereo reconstruction for surface analysis of mucosal tissue. Photometric stereo captures images of a surface from a single camera, but illuminated
from different light sources. From the set of images, a detailed surface reconstruction is estimated. We apply photometric stereo principles to mucosal tissue, which
raises technical challenges due to its specular appearance. Following reconstruction of the surface, we apply surface analysis techniques based on differential geometry to detect
regions that are locally spherical, suggestive of polyps. The research described in this paper is a first step towards a real-time clinical support system based on 3D reconstruction of human tissue for gastereoentrologic applications such as colonoscopy.

• Presentation Conference Type: Conference Paper (unpublished)
• Conference Name: Medical Image Understanding and Analysis 2014
• Start Date: Jul 9, 2014
• End Date: Jul 14, 2014
• Publication Date: Jul 9, 2014
• Publicly Available Date: Jun 6, 2019
• Peer Reviewed: Peer Reviewed
• Keywords: photometric stereo reconstruction, surface analysis, mucosal tissue
• Public URL: https://uwe-repository.worktribe.com/output/814742
• Publisher URL: http://www.city.ac.uk/medical-image-understanding-and-analysis-2014/programme
• Related Public URLs: http://www.city.ac.uk/medical-image-understanding-and-analysis-2014
• Additional Information: Title of Conference or Conference Proceedings : Medical Image Understanding and Analysis 2014