A Survey on the State of Art Techniques for the Identification of Polyps for Colorectal Cancer
DOI:
https://doi.org/10.26438/ijcse/v6si8.106113Keywords:
Computer Aided Detection, Virtual Colonoscopy, Polyps, Polyp detectionAbstract
Computer Aided Diagnosis (CAD) is available for automatic detection of suspicious colorectal polyps in the CT images of the colon. These schemes help the radiologist to identify the location of the polyps in an efficient and accurate manner. A detailed survey was made on the different CAD scheme proposed by different authors for the detection of different categories of polyps. The different CAD schemes was implemented by incorporating some modification in the segmentation phase such as automatic colon segmentation or vary the identification of features in the feature extraction phase in the classical polyp detection system for the identification of polyps. Their performances were measured by two parameters sensitivity and specificity. Thus the ultimate aim of the authors was to improve the sensitivity and decrease the chance of missing sessile and flat polyps, with acceptable false-positive rates
References
[1] American Cancer Society, Annual Report: Cancer Facts & Figures 2004,[Online] Available:http://www.cancer.org/ downloads/ STT / CAFF _final PW Secured .pdf.
[2] John H. Bond., 2000.” Polyp Guideline: Diagnosis, Treatment, and Surveillance for Patients with Colorectal Polyps”, AJG – vol. 95, no. 11
[3] Xiaoyun Yang, Yalin Zheng, Musib Siddique and Gareth Beddoe., 2008.”Learning from imbalanced data: a comparative study for Colon CAD,” Proc. of SPIE Medical imaging vol. 6915, 69150R.
[4] Guest Editorial.,2001.”Computer-Aided Diagnosis in Medical Imaging”, IEEE Trans. Medical Imaging, December, vol. 20, no. 12.
[5] Farhan Riaz, Mario Dinis Ribeiro and Miguel Tavares Coimbra.,” A Review of Current Computer Aided Diagnosis Systems for Polyp Detection in Virtual Colonoscopy”
[6] Graser.A, Kolligs.F.T, Mang.T, Schaefer.C, Geisbüsch.S, Reiser.M.F and Becker.C.R.,2007.” Computer-aided detection in CT colonography : initial clinical experience using a prototype system “,Eur Radiol, Gastrointestinal, Jan.
[7] Abraham H. Dachman and Hiro Yoshida., 2003.” Virtual colonoscopy: past, present,and future” Elsevier Science (USA) Radiol Clin nam 41, pp.377– 393.
[8] Wei Hong, Feng Qiu, and Arie Kaufman., 2006. “A Pipeline for Computer Aided Polyp Detection. IEEE Trans. Visualization And Computer Graphics, vol. 12, no. 5, Sep 2006
[9] Bogoni.L, Cathier.P, Dundar.M, Jerebko.A, Lakare.S, Liang.J, Periaswamy.S, Baker.M.E, And Macari.M.,2005.” Computer-aided detection (CAD) for CT colonography : a tool to address a growing need” The British Journal of Radiology, 78 , S57–S62 E.
[10] June-Goo Lee , Jong Hyo Kim , Se Hyung Kim , Hee Sun Park ans Byung Ihn Choi. ,2011.” A straightforward approach to computer-aided polyp detection using a polyp-specific volumetric feature in CT colonography” Elseiver Computers in Biology and Medicine 41,pp. 790–801
[11] Simona E. Grigorescu, , Shelly T. Nevo, Marjolein H. Liedenbaum, Roel Truyen, Jaap Stoker,Lucas J. Van Vliet, and Frans M. Vos., 2010.”Automated Detection and Segmentation of Large Lesions in CT Colonography.,” IEEE Trans. Biomedical Engineering, Mar ,vol. 57, no. 3.
[12] Tarik A. Chowdhury, Paul F. Whelan and Ovidiu Ghita., 2008.” A Fully Automatic CAD-CTC System Basedon Curvature Analysis for Standard and Low-Dose CT Data,” IEEE Trans. Biomedical Engineering, Mar,vol. 55, no. 3 .
[13] Alberto Berta, Ivan Dmitrievb,Silvano Agliozzoa, Natalia Pietrosemolib,Mark Mandelkernc, Teresa Gallod and Daniele Regge.,2009.” An automatic method for colon segmentation in CT colonography”, Computerized Medical Imaging and Graphics 33,Feb, pp.325–331, .
[14] David S. Paik, Christopher F. Beaulieu, Geoffrey D. Rubin, Burak Acar, R. Brooke Jeffrey, Jr., Judy Yee,Joyoni Dey, and Sandy Napel.,2004.” Surface Normal Overlap: A Computer-Aided Detection Algorithm With Application to Colonic Polyps and Lung Nodules in Helical CT ” IEEE Trans. Medical Imaging, jun,vol. 23, no. 6.
[15] Zalis.M.E, Barish. M. A,Choi.J.R,Dachman. A. H, Fenlon. H. M,Ferrucci. J.T,Glick. S. N, Laghi.A, Macari.M, McFarland.E.G, Morrin.M.M, Pickhardt.P.J, Soto.J, and Yee.J, 2005 .“CT colonography reporting and data system: A consensus proposal,” Radiology, vol. 236, pp. 3–9.
[16] Perry J. Pickhardt,Cesare Hassan,Andrea Laghi,Angelo Zullo,David H. Kim,Franco Iafrate and Sergio Morini.,2008.” Small and Diminutive Polyps Detected at Screening CT Colonography: A Decision Analysis for Referral to Colonoscopy”, American Roentgen Ray Society ,vol.190:pp.136–144
[15] Marcelo Fiori, Pablo Muse, and Guillermo Sapiro., 2011.”A Complete System for Polyps Flagging in Virtual Colonoscopy,” IMA Preprint Series No 2367, Apr .
[16] Anna K. Jerebko, Sheldon B. Teerlink, Marek Franaszek and Ronald M. Summersa., 2003. ” Polyp segmentation Method for CT Colonography Computer Aided Detection” Proceedings of SPIE vol. 5031.
[17] Vincent F. van Ravesteijn, Cees van Wijk, Frans M. Vos, Roel Truyen, Joost F. Peters, Jaap Stoker, and Lucas J. van Vliet., 2010. “Computer-Aided Detection of Polyps in CT Colonography Using Logistic Regression”, IEEE Trans. Medical Imaging, Jan,vol. 29, no. 1.
Downloads
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors contributing to this journal agree to publish their articles under the Creative Commons Attribution 4.0 International License, allowing third parties to share their work (copy, distribute, transmit) and to adapt it, under the condition that the authors are given credit and that in the event of reuse or distribution, the terms of this license are made clear.
