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Real-Time Phase Boundary Detection for Colonoscopy Videos Using Motion Vector Templates

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Abdominal Imaging. Computational and Clinical Applications (ABD-MICCAI 2012)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 7601))

Abstract

Colonoscopy is the preferred screening method currently available for detection of colorectal cancer and its precursor lesions, colorectal polyps. However, recent data suggest that there is a significant miss rate for the detection of polyps in the colon during colonoscopy. Therefore, techniques for real-time quality measurement and feedback are necessary to aid the endoscopist towards optimal inspection to improve the overall quality of colonoscopy during the procedure. A typical colonoscopy procedure consists of two phases: an insertion phase and a withdrawal phase. One of the most essential tasks in real-time fully automated quality measurement is to find the location of the boundary between insertion and withdrawal phases. In this paper, we present a method based on motion vector templates to detect the phase boundary in real-time. The proposed method detects the phase boundary with a better accuracy and a faster speed compared to our previous method.

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References

  1. American Cancer Society. Colorectal Cancer Facts & Figures (2008), http://www.cancer.org/docroot/STT/content/STT_1x_Cancer_Facts_and_Figures_2008.asp

  2. Rex, D.K., Petrini, J.L., Baron, T.H., Chak, A., Cohen, J., Deal, S.E., Hoffman, B., Jacobson, B.C., Mergener, K., Pertersen, B., Safdi, M.A., Faigel, D.O., Pike, I.M.: Quality Indicators for Colonoscopy. Gastrointestinal Endoscopy 63, S16–S26 (2006)

    Article  Google Scholar 

  3. Oh, J., Hwang, S., Cao, Y., Tavanapong, W., Liu, D., Wong, J., de Groen, P.C.: Measuring Objective Quality of Colonoscopy. IEEE T. Bio-Med. Eng. 56(9), 2190–2196 (2009)

    Article  Google Scholar 

  4. Oh, J., Rajbal, M.A., Muthukudage, J.K., Tavanapong, W., Wong, J., de Groen, P.C.: Real-Time Phase Boundary Detection in Colonoscopy Videos. In: 6th International Symposium on Image and Signal Processing and Analysis, Salzburg, pp. 724–729 (2009)

    Google Scholar 

  5. Bouguet, J.Y.: Pyramidal Implementation of the Lucas Kanade Feature Tracker. Intel Corporation Microprocessor Research Labs 1(2), 1–9 (2001)

    Google Scholar 

  6. Horn, B., Schunck, B.: Determining Optical Flow. Artif. Intell. 17, 185–203 (1981)

    Article  Google Scholar 

  7. Bradski, G., Kaehler, A.: Learning OpenCV:Computer Vision with the OpenCV Library. O’Reilly Media (2008)

    Google Scholar 

  8. Oh, J., Hwang, S., Lee, J., Tavanapong, W., Wong, J., de Groen, P.C.: Informative Frame Classification for Endoscopy Video. Med. Image Anal. 11(2), 110–127 (2007)

    Article  Google Scholar 

  9. Muthukudage, J., Oh, J., Tavanapong, W., Wong, J., de Groen, P.C.: Color Based Stool Region Detection in Colonoscopy Videos for Quality Measurements. In: Ho, Y.-S. (ed.) PSIVT 2011, Part I. LNCS, vol. 7087, pp. 61–72. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  10. Atasoy, S., Mateus, D., Lallemand, J., Meining, A., Yang, G.-Z., Navab, N.: Endoscopic Video Manifolds. In: Jiang, T., Navab, N., Pluim, J.P.W., Viergever, M.A. (eds.) MICCAI 2010, Part II. LNCS, vol. 6362, pp. 437–445. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  11. Nguyen, T., Laurendeau, D., Branzan, A.: A Robust Method for Camera Motion Estimation in Movies Based on Optical Flow. Int. J. Intell. Syst. Technol. Appl. 9(3/4), 228–238 (2010)

    Google Scholar 

  12. Xiong, W., Lee, J.C.: Efficient Scene Change Detection and Camera Motion Annotation for Video Classification. Computer Vision and Image Understanding 71(2), 166–181 (1998)

    Article  Google Scholar 

  13. Stanek, S.R., Tavanapong, W., Wong, J., Oh, J., Nawarathna, R., Muthukudage, J., de Groen, P.C.: SAPPHIRE Middleware and Software Development Kit for Medical Video Analysis. In: 24th IEEE International Symposium on Computer-Based Medical Systems, Bristol, pp. 1–6 (2011)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, University of North Texas, 1155 Union Circle #311366, Denton, Texas, 76203-5017, USA

    Ruwan Nawarathna, JungHwan Oh & Jayantha Muthukudage

  2. Department of Computer Science, Iowa State University, 226 Atanasoff Hall, Ames, Iowa, 50011-1040, USA

    Wallapak Tavanapong & Johnny Wong

  3. Department of Medicine, Division of Gastroenterology and Hepatology, Mayo Clinic, 200 First St. S.W., Rochester, Minnesota, 55905, USA

    Piet C. de Groen

Authors
  1. Ruwan Nawarathna
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  2. JungHwan Oh
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  3. Jayantha Muthukudage
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  4. Wallapak Tavanapong
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  5. Johnny Wong
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  6. Piet C. de Groen
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Editor information

Editors and Affiliations

  1. Department of Radiology, Massachusetts, 3D Imaging Research, General Hospital and Harvard Medical School, 25 New Chardon Street, Suite 400C, 20114, Boston, MA, USA

    Hiroyuki Yoshida

  2. Centre for Medical Image Computing, University College London, 25 New Chardon Street 400C, WC1E 6BT, London, UK

    David Hawkes

  3. Department of Radiology, The University of Chicago, 5841 South Maryland Avenue, Q-226, MC2026, 60637, Chicago, IL, USA

    Michael W. Vannier

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© 2012 Springer-Verlag Berlin Heidelberg

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Nawarathna, R., Oh, J., Muthukudage, J., Tavanapong, W., Wong, J., de Groen, P.C. (2012). Real-Time Phase Boundary Detection for Colonoscopy Videos Using Motion Vector Templates. In: Yoshida, H., Hawkes, D., Vannier, M.W. (eds) Abdominal Imaging. Computational and Clinical Applications. ABD-MICCAI 2012. Lecture Notes in Computer Science, vol 7601. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33612-6_13

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  • DOI: https://doi.org/10.1007/978-3-642-33612-6_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33611-9

  • Online ISBN: 978-3-642-33612-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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