Please use this identifier to cite or link to this item:
DC FieldValue
dc.titleClassification of colonic tissues using raman spectroscopy and multivariate techniques
dc.contributor.authorHuang, Z.
dc.contributor.authorZheng, W.
dc.contributor.authorWidjaja, E.
dc.contributor.authorMo, J.
dc.contributor.authorSheppard, C.
dc.identifier.citationHuang, Z., Zheng, W., Widjaja, E., Mo, J., Sheppard, C. (2006). Classification of colonic tissues using raman spectroscopy and multivariate techniques. Progress in Biomedical Optics and Imaging - Proceedings of SPIE 6093 : -. ScholarBank@NUS Repository.
dc.description.abstractThe purpose of this study was to explore the feasibility of using near-infrared (NIR) Raman spectroscopy and multivariate techniques for distinguishing cancer from normal and benign tissue in the colon. A total of 105 colonic specimens were used for Raman studies including 41 normal, 18 polyps, and 46 malignant tumors. The multivariate statistical techniques such as PCA-SVM were utilized to extract the significant Raman features and to develop effective diagnostic algorithms for tissue classification. The results showed that high-quality Raman spectra in the 800-1800 cm -1 range can be acquired from human colonic tissues in vitro, and Raman spectra differed significantly between normal, benign and malignant tumor tissue. PCA-SVM yielded a diagnostic sensitivity of 100%, 100%, and 97.7%, and specificity of 99.8%, 100%, and 100%, respectively, for differentiation between normal, polyp, and malignant tissue. Therefore, NIR Raman spectroscopy associated with multivariate techniques provides a significant potential for the noninvasive diagnosis of colonic cancers in vivo based on optical evaluation of biomolecules.
dc.subjectColon cancer
dc.subjectNear-infrared Raman spectroscopy
dc.subjectOptical diagnosis
dc.subjectSupport vector machines
dc.typeConference Paper
dc.description.sourcetitleProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Appears in Collections:Staff Publications

Show simple item record
Files in This Item:
There are no files associated with this item.

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.