Computer-Aided polyp detection for laxative-free CT colonography

Authors:
Neil Panjwani;Marius George Linguraru;Joel G. Fletcher;Ronald M. Summers
Affiliations:
Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD;Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD;Department of Radiology, Mayo Clinic, Rochester, MN;Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD
Venue:
MICCAI'11 Proceedings of the Third international conference on Abdominal Imaging: computational and Clinical Applications
Year:
2011

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Abstract

Image-based colon cleansing performed on fecal-tagged CT colonography (CTC) allows the laxative-free detection of colon polyps, unlike optical colonoscopy (OC), the preferred screening method. Compared to OC, CTC increases the patient comfort and compliance with colon cancer screening. However, laxative-free CTC introduces many challenges and imaging artifacts, such as poorly and heterogeneously tagged stool, thin stool close to the colon walls, pseudoenhancement of colon tissue, and partial volume effect. We propose an automated algorithm to subtract stool prior to the computer aided detection of colonic polyps. The method is locally adaptive and combines intensity, shape and texture analysis with probabilistic optimization. Results show stool removal accuracy on data with various bowel preparations. The automatic detection of polyps using our CAD system on cathartic-free data improves significantly from 70% to 85% true positive rate at 5.75 false positives/scan.