Feature Space Optimization for Virtual Chromoendoscopy Augmented by Topography

  • Germán González
  • Vicente Parot
  • William Lo
  • Benjamin J. Vakoc
  • Nicholas J. Durr
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8673)


Optical colonoscopy is the preferred modality for the screening and prevention of colorectal cancer. Chromoendoscopy can increase lesion detection rate by highlighting tissue topography with a colored dye, but is too time-consuming to be adopted in routine colonoscopy screening. We developed a fast and dye-free technique that generates virtual chromoendoscopy images that incorporate topography features acquired from photometric stereo endoscopy. We demonstrate that virtual chromoendoscopy augmented by topography achieves similar image quality to conventional chromoendoscopy in ex-vivo swine colon.


optical colonoscopy chromoendoscopy photometric stereo endoscopy topography 


  1. 1.
    Rex, D.K.: Maximizing detection of adenomas and cancers during colonoscopy. The American Journal of Gastroenterology 101(12), 2866–2877 (2006)CrossRefGoogle Scholar
  2. 2.
    Pohl, H., Robertson, D.J.: Colorectal cancers detected after colonoscopy frequently result from missed lesions. Clinical Gastroenterology and Hepatology: the Official Clinical Practice Journal of the American Gastroenterological Association 8(10), 858–864 (2010), PMID: 20655393Google Scholar
  3. 3.
    Song, L.M.W.K., Adler, D.G., Chand, B., Conway, J.D., Croffie, J.M.B., DiSario, J.A., Mishkin, D.S., Shah, R.J., Somogyi, L., Tierney, W.M., Petersen, B.T.: Chromoendoscopy. Gastrointestinal Endoscopy 66(4), 639–649 (2007)CrossRefGoogle Scholar
  4. 4.
    Brooker, J.C., Saunders, B.P., Shah, S.G., Thapar, C.J., Thomas, H.J.W., Atkin, W.S., Cardwell, C.R., Williams, C.B.: Total colonic dye-spray increases the detection of diminutive adenomas during routine colonoscopy: A randomized controlled trial. Gastrointestinal Endoscopy 56(3), 333–338 (2002)CrossRefGoogle Scholar
  5. 5.
    Hurlstone, D.P., Cross, S.S., Slater, R., Sanders, D.S., Brown, S.: Detecting diminutive colorectal lesions at colonoscopy: a randomised controlled trial of pan-colonic versus targeted chromoscopy. Gut 53(3), 376–380 (2004), PMID: 14960519Google Scholar
  6. 6.
    Durr, N.J., Gonzlez, G., Parot, V.: 3D imaging techniques for improved colonoscopy. Expert Review of Medical Devices 11(2), 105–107 (2014), PMID: 24387658Google Scholar
  7. 7.
    Pohl, J., May, A., Rabenstein, T., Pech, O., Ell, C.: Computed virtual chromoendoscopy: a new tool for enhancing tissue surface structures. Endoscopy 39(1), 80–83 (2007), PMID: 17252465Google Scholar
  8. 8.
    Adler, A., Pohl, H., Papanikolaou, I.S., Abou-Rebyeh, H., Schachschal, G., Veltzke-Schlieker, W., Khalifa, A.C., Setka, E., Koch, M., Wiedenmann, B., Rösch, T.: A prospective randomised study on narrow-band imaging versus conventional colonoscopy for adenoma detection: does narrow-band imaging induce a learning effect? Gut 57(1), 59–64 (2008), PMID: 17681999Google Scholar
  9. 9.
    Nass, J.P., Connolly, S.E.: Current status of chromoendoscopy and narrow band imaging in colonoscopy. Clinics in Colon and Rectal Surgery 23(1), 21–30 (2010), PMID: 21286287 PMCID: PMC2850163Google Scholar
  10. 10.
    Rex, D.K., Helbig, C.C.: High yields of small and flat adenomas with high-definition colonoscopes using either white light or narrow band imaging. Gastroenterology 133(1), 42–47 (2007), PMID: 17631129Google Scholar
  11. 11.
    Parot, V., Lim, D., Gonzlez, G., Traverso, G., Nishioka, N.S., Vakoc, B.J., Durr, N.J.: Photometric stereo endoscopy. Journal of Biomedical Optics 18(7), 076017–1–076017–7 (2013), PMID: 23864015Google Scholar
  12. 12.
    Durr, N.J., Gonzalez, G., Lim, D., Traverso, G., Nishioka, N.S., Vakoc, B.J., Parot, V.: System for clinical photometric stereo endoscopy. In: Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XII, San Francisco, CA, vol. 8935(51). SPIE (February 2014)Google Scholar
  13. 13.
    Wang, Z., Bovik, A.C., Sheikh, H.R., Simoncelli, E.P.: Image quality assessment: from error visibility to structural similarity. IEEE Transactions on Image Processing 13(4), 600–612 (2004)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Germán González
    • 1
  • Vicente Parot
    • 1
  • William Lo
    • 2
  • Benjamin J. Vakoc
    • 2
  • Nicholas J. Durr
    • 1
  1. 1.Madrid-MIT M+Vision ConsortiumMassachusetts Institute of TechnologyCambridgeUSA
  2. 2.Wellman Center for PhotomedicineHarvard Medical School and Massachusetts General HospitalBostonUSA

Personalised recommendations