Computer aided detection of polyps in virtual colonoscopy with sameday faecal tagging

Silvia Delsanto; Lia Morra; Silvano Agliozzo; Riccardo Baggio; Delia Campanella M.D.; Vincenzo Tartaglia M.D.; Francesca Cerri M.D.; Franco Iafrate; Emanuele Neri M.D.; Andrea Laghi; Daniele Regge M.D.

doi:10.1117/12.770409

27 March 2008 Computer aided detection of polyps in virtual colonoscopy with sameday faecal tagging

Silvia Delsanto, Lia Morra, Silvano Agliozzo, Riccardo Baggio, Delia Campanella M.D., Vincenzo Tartaglia M.D., Francesca Cerri M.D., Franco Iafrate, Emanuele Neri M.D., Andrea Laghi, Daniele Regge M.D.

Author Affiliations +

Proceedings Volume 6915, Medical Imaging 2008: Computer-Aided Diagnosis; 69150T (2008) https://doi.org/10.1117/12.770409
Event: Medical Imaging, 2008, San Diego, California, United States

Abstract

One of the key factors which may lead to a greater patient compliance in virtual colonoscopy is a well tolerated bowel preparation; there is evidence that this may be obtained by faecal tagging techniques. In so-called "sameday faecal tagging" (SDFT) preparations, iodine contrast material is administered on the day of the exam in a hospital ward. The administration of oral contrast on the day of the procedure, however, often results in a less homogenous marking of faecal residues and computer aided-detection (CAD) systems must be able to treat these kinds of preparations. The aim of this work is to present a CAD scheme capable of achieving good performances on CT datasets obtained using SDFT, both in terms of sensitivity and specificity. The electronically cleansed datasets is processed by a scheme composed of three steps: colon surface extraction, polyp candidate segmentation through curvature-based features and discrimination between true polyps and false alarms. The system was evaluated on a dataset including 102 patients from three different centers. A specificity of 8.2 false positives per scan was obtained at a 100% sensitivity for polyps larger than 10 mm. In conclusion CAD schemes for SDFT may be designed to obtain high performances.

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Silvia Delsanto, Lia Morra, Silvano Agliozzo, Riccardo Baggio, Delia Campanella M.D., Vincenzo Tartaglia M.D., Francesca Cerri M.D., Franco Iafrate, Emanuele Neri M.D., Andrea Laghi, and Daniele Regge M.D. "Computer aided detection of polyps in virtual colonoscopy with sameday faecal tagging", Proc. SPIE 6915, Medical Imaging 2008: Computer-Aided Diagnosis, 69150T (27 March 2008); https://doi.org/10.1117/12.770409

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