Development of a Multispectral Gastroendoscope to Improve the Detection of Precancerous Lesions in Digestive Gastroendoscopy

Sergio Ernesto Martinez Herrera, Yannick Benezeth, Matthieu Boffety, François Goudail, Dominique Lamarque, Jean-François Emile, Franck Marzani

2014

Abstract

The diagnosis of malignancies in the stomach is based on the histological analysis and the visual information during gastroendoscopy. The visualization is mainly performed under white light; unfortunately, it is often difficult to visualize malignancies in gastric tissue using this technology, due to its subtle differences in colour and morphology in comparison with healthy tissues. Thus, it is clear that practitioners need additional information from the tissue in a non-invasive, efficient and accurate way. Gastric pathologies are related to small changes in the properties of the tissue which can be identified using multispectral imaging. The PhD thesis has two main objectives. The first one is the development of a gastroendoscopic prototype capable to acquire multispectral images of the stomach during gastroendoscopy. The second one is the proposal of tools and methods from the acquired spectra to identify cancerous tissue at an early stage; this is the current work for the second and third year of the PhD thesis.

References

  1. Bashkatov, A. N., Genina, E. A., Kochubey, V. I., Gavrilova, A. A., Kapralov, S. V., Grishaev, V. A., Tuchin V. V., 2007. Optical properties of human stomach mucosa in the spectral range from 400 to 2000 nm: Prognosis for gastroenterology. In Medical Laser Application, 22(2), p95-104.
  2. Bergen, J. R., Anandan, P., Hanna, K. J., Hingorani, R., 1992. Hierarchical model-based motion estimation. In ECCV'92, 588, p237-252.
  3. Galeano, J., Jolivot, R., Benezeth, Y., Marzani, F., Emile, J.-F., Lamarque, D., 2012. Analysis of Multispectral Images of Excised Colon Tissue Samples Based on Genetic Algorithms. In int. conf. on Signal Image Technology & Internet Based Systems (SITIS), 25-29 Nov, Naples, Italy, pp. 833-838.
  4. Grahn, H. & Geladi, P., 2007. Techniques and Applications of Hyperspectral Image Analysis, West Sussex: Wiley. P1-13.
  5. Jolivot, R., Vabres, P., Marzani, F., 2011. Reconstruction of hyperspectral cutaneous data from an artificial neural network-based multispectral imaging system. In Computerized Medical Imaging and Graphics, 35(2), p85-88.
  6. Hegenbart, S., Uhl, A., Wimmer, G., Vecsei, A., 2013. On the effects of de-interlacing on the classification accuracy of interlaced endoscopic videos with indication for celiac disease. In Computer-Based Medical Systems (CBMS), 2013 IEEE 26th International Symposium, 20-22 June, Porto, Portugal, pp. 137-142.
  7. Kida M., Kobayashi K., Saigenji K., 2003. Routine chromoendoscopy for gastrointestinal diseases: indications revised. In Endoscopy, 35(7), p590-596.
  8. Kiyotoki, S., Nishikawa, J., Okamoto, T., Hamabe, K., Saito, M., Goto, A., Fujita, Y., Hamamoto, Y., Takeuchi, Y., Satori, S., Sakaida, I., 2013. New method for detection of gastric cancer by hyperspectral imaging: a pilot study. In Journal of Biomedical Optics, 18(2), p26010.
  9. Simon C., Mansouric, A., Marzani, F., Booch, F., 2013. Integration of 3D and multispectral data for cultural heritage applications: survey and perspectives. In Image and Vision Computing, 31(1), p91-102.
  10. Tomatis, S., Carrara, M., Bono A., 2005. Automated melanoma detection with a novel multispectral imaging system: results of a prospective study. In Physics in Medicine and Biology, 50(8), p1675-1687.
  11. Wong Kee Song, L. M., Adler, D. G., Conway J. D., Diehl, D. L., Farraye, F. A., Kantsevoy, S.V., Kwon, R., Mamula, P., Rodriguez, B., Shah, R. J., Tierney, W. M., 2008. Narrow band imaging and multiband imaging. In Gastrointestinal Endoscopy, 67(4), p581- 589.
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Paper Citation


in Harvard Style

Martinez Herrera S., Benezeth Y., Boffety M., Goudail F., Lamarque D., Emile J. and Marzani F. (2014). Development of a Multispectral Gastroendoscope to Improve the Detection of Precancerous Lesions in Digestive Gastroendoscopy . In Doctoral Consortium - DCVISIGRAPP, (VISIGRAPP 2014) ISBN Not Available, pages 15-19


in Bibtex Style

@conference{dcvisigrapp14,
author={Sergio Ernesto Martinez Herrera and Yannick Benezeth and Matthieu Boffety and François Goudail and Dominique Lamarque and Jean-François Emile and Franck Marzani},
title={Development of a Multispectral Gastroendoscope to Improve the Detection of Precancerous Lesions in Digestive Gastroendoscopy},
booktitle={Doctoral Consortium - DCVISIGRAPP, (VISIGRAPP 2014)},
year={2014},
pages={15-19},
publisher={SciTePress},
organization={INSTICC},
doi={},
isbn={Not Available},
}


in EndNote Style

TY - CONF
JO - Doctoral Consortium - DCVISIGRAPP, (VISIGRAPP 2014)
TI - Development of a Multispectral Gastroendoscope to Improve the Detection of Precancerous Lesions in Digestive Gastroendoscopy
SN - Not Available
AU - Martinez Herrera S.
AU - Benezeth Y.
AU - Boffety M.
AU - Goudail F.
AU - Lamarque D.
AU - Emile J.
AU - Marzani F.
PY - 2014
SP - 15
EP - 19
DO -