Ciaccio EJ, Bhagat G, Lewis SK, Green PH. Use of shape-from-shading to characterize mucosal topography in celiac disease videocapsule images.
World J Gastrointest Endosc 2017;
9:310-318. [PMID:
28744343 PMCID:
PMC5507822 DOI:
10.4253/wjge.v9.i7.310]
[Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/14/2016] [Revised: 02/05/2017] [Accepted: 06/08/2017] [Indexed: 02/05/2023] Open
Abstract
AIM
To use a computerized shape-from-shading technique to characterize the topography of the small intestinal mucosa.
METHODS
Videoclips comprised of 100-200 images each were obtained from the distal duodenum in 10 celiac and 10 control patients. Images with high texture were selected from each videoclip and projected from two to three dimensions by using grayscale pixel brightness as the Z-axis spatial variable. The resulting images for celiac patients were then ordered using the Marsh score to estimate the degree of villous atrophy, and compared with control data.
RESULTS
Topographic changes in celiac patient three-dimensional constructs were often more variable as compared to controls. The mean absolute derivative in elevation was 2.34 ± 0.35 brightness units for celiacs vs 1.95 ± 0.28 for controls (P = 0.014). The standard deviation of the derivative in elevation was 4.87 ± 0.35 brightness units for celiacs vs 4.47 ± 0.36 for controls (P = 0.023). Celiac patients with Marsh IIIC villous atrophy tended to have the largest topographic changes. Plotted in two dimensions, celiac data could be separated from controls with 80% sensitivity and specificity.
CONCLUSION
Use of shape-from-shading to construct three-dimensional projections approximating the actual spatial geometry of the small intestinal substrate is useful to observe features not readily apparent in two-dimensional videocapsule images. This method represents a potentially helpful adjunct to detect areas of pathology during videocapsule analysis.
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