title: Suggestions for automatic quantitation of endoscopic image analysis to improve detection of small intestinal pathology in celiac disease patients.
abstract: Although many groups have attempted to develop an automated computerized method to detect pathology of the small intestinal mucosa caused by celiac disease, the efforts have thus far failed. This is due in part to the occult presence of the disease. When pathological evidence of celiac disease exists in the small bowel it is visually often patchy and subtle. Due to presence of extraneous substances such as air bubbles and opaque fluids, the use of computerized automation methods have only been partially successful in detecting the hallmarks of the disease in the small intestine-villous atrophy, fissuring, and a mottled appearance. By using a variety of computerized techniques and assigning a weight or vote to each technique, it is possible to improve the detection of abnormal regions which are indicative of celiac disease, and of treatment progress in diagnosed patients. Herein a paradigm is suggested for improving the efficacy of automated methods for measuring celiac disease manifestation in the small intestinal mucosa. The suggestions are applicable to both standard and videocapsule endoscopic imaging, since both methods could potentially benefit from computerized quantitation to improve celiac disease diagnosis.
authors.affiliation: Department of Medicine, Celiac Disease Center, Columbia University, Harkness 934, New York, NY 10032, USA. Electronic address: ciaccio@columbia.edu.
authors.forename: Edward J
authors.initials: EJ
authors.lastname: Ciaccio
authors.affiliation: Department of Medicine, Celiac Disease Center, Columbia University, Harkness 934, New York, NY 10032, USA; Department of Pathology and Cell Biology, Columbia University, New York, USA.
authors.forename: Govind
authors.initials: G
authors.lastname: Bhagat
authors.affiliation: Department of Medicine, Celiac Disease Center, Columbia University, Harkness 934, New York, NY 10032, USA.
authors.forename: Suzanne K
authors.initials: SK
authors.lastname: Lewis
authors.affiliation: Department of Medicine, Celiac Disease Center, Columbia University, Harkness 934, New York, NY 10032, USA.
authors.forename: Peter H
authors.initials: PH
authors.lastname: Green
mesh_terms: D053704:Capsule Endoscopy / Q000295:instrumentation / Q000379:methods*; D002446:Celiac Disease / Q000473:pathology*; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D007413:Intestinal Mucosa / Q000473:pathology*; D007421:Intestine, Small / Q000473:pathology*
keywords: Celiac disease; Cellular automaton; Endoscopy; Image processing; Polling