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.
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References
Cotton, P.B., et al.: Computed Tomographic Colonography (Virtual Colonoscopy): A Multicenter Comparison with Standard Colonoscopy for Detection of Colorectal Neoplasia. Jama 291(14), 1713–1719 (2004)
Summers, R.M., et al.: Computed Tomographic Virtual Colonoscopy Computer-Aided Polyp Detection in a Screening Population. Gastroenterology 129(6), 1832–1844 (2005)
Gluecker, T.M., et al.: Colorectal Cancer Screening with CT Colonography, Colonoscopy, and Double-Contrast Barium Enema Examination: Prospective Assessment of Patient Perceptions and Preferences. Radiology 227(2), 378–384 (2003)
Carston, M., Manduca, A., Johnson, C.D.: Electronic Stool Subtraction Using Quadratic Regression, Morphological Operations, and Distance Transforms. In: Proceedings of SPIE 6511 (Part 1), 65110W (2007)
Wang, Z., et al.: An Improved Electronic Colon Cleansing Method for Detection of Colonic Polyps by Virtual Colonoscopy. IEEE Trans. Biomed. Eng. 53(8), 1635–1646 (2006)
McLachlan, G.J., Krishnan, T.: The EM Algorithm and Extensions. Wiley Series in Probability and Statistics. Applied Probability and Statistics. Wiley, New York (1997)
Linguraru, M.G., et al.: Heterogeneous Stool Removal for Laxative-Free Diagnosis of Colon Cancer – FROC Study. In: MICCAI Workshop on Virtual Colonoscopy, pp. 85–90 (2008)
Cai, W., et al.: Structure-Analysis Method for Electronic Cleansing in Cathartic and Noncathartic CT Colonography. Med. Phys. 35(7), 3259–3277 (2008)
Cai, W., et al.: Mosaic Decomposition: An Electronic Cleansing Method for Inhomogeneously Tagged Regions in Noncathartic CT Colonography. IEEE Trans. Med. Imaging 30(3), 559–574 (2011)
Otsu, N.: A Threshold Selection Method from Gray Level Histograms. IEEE Trans. Syst. Man Cybern. 9, 62–66 (1979)
Sato, Y., et al.: 3D Multi-Scale Line Filter for Segmentation and Visualization of Curvilinear Structures in Medical Images. In: Troccaz, J., Mösges, R., Grimson, W.E.L. (eds.) CVRMed-MRCAS 1997, CVRMed 1997, and MRCAS 1997. LNCS, vol. 1205, pp. 213–222. Springer, Heidelberg (1997)
Haralick, R.M., Shanmugam, K.: Dinstein, Its’Hak: Textural Features for Image Classification. IEEE Trans. Syst. Man Cybern. 3(6), 610–621 (1973)
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Panjwani, N., Linguraru, M.G., Fletcher, J.G., Summers, R.M. (2012). Computer-Aided Polyp Detection for Laxative-Free CT Colonography. In: Yoshida, H., Sakas, G., Linguraru, M.G. (eds) Abdominal Imaging. Computational and Clinical Applications. ABD-MICCAI 2011. Lecture Notes in Computer Science, vol 7029. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28557-8_3
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DOI: https://doi.org/10.1007/978-3-642-28557-8_3
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