Abstract
Optical Coherence Tomography is an optical imaging technique providing subsurface structural images with a resolution at histological level. It has been widely studied and applied in both research and clinical practice with special interest in cancer diagnosis. One of the major queries today is to represent the images in a standardized way. To this aim the qualitative image recorded on the tissue will be transformed into a quantitative model. The solution provided here is able to diagnose healthy versus cancerous tissue independently from the measurement settings.
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Acknowledgements
The authors wish to acknowledge the very important contribution made by Shang Wang and Narendran Sudheendran. This work was supported by the Hungarian-American Fulbright Commission, the French Ministry of Research and the University of Houston. This work is the continuation of a poster presentation held on November 16, 2012 at the MEGA Research day of the University of Houston, and the Conference Proceedings of BIOSTEC – BIOIMAGING held in Angers, France March 3-6, 2014.
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Lantos, C., Borji, R., Douady, S., Grigoriadis, K., Larin, K., Franchek, M.A. (2015). Model Based Quantification of Tissue Structural Properties Using Optical Coherence Tomography. In: Plantier, G., Schultz, T., Fred, A., Gamboa, H. (eds) Biomedical Engineering Systems and Technologies. BIOSTEC 2014. Communications in Computer and Information Science, vol 511. Springer, Cham. https://doi.org/10.1007/978-3-319-26129-4_8
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DOI: https://doi.org/10.1007/978-3-319-26129-4_8
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