Document Type : Full Research Paper


1 Ph.D Student, Biomedical Engineering Group, Electrical and Computer Engineering Department, Tarbiat Modares University

2 Associate Professor, Biomedical Engineering Group, Electrical and Computer Engineering Department, Tarbiat Modares University

3 Associate Professor, Physics Group, Faculty of Basic Sciences, Tarbiat Modares University

4 Professor, Electronics Group, Electrical and Computer Engineering Department, Tarbiat Modares University

5 Associate Professor, Medical Pathology Group, Kashan University of Medical Sciences



In this research, we investigated cancerous tissues from several organs of the human body using Raman spectroscopy. Different specimens with different pathologic labels (normal & cancerous) were borrowed from a pathology laboratory, and were investigated using two different Raman spectroscopy systems. Since one of the goals of this investigation was detection of cancer, independent of type of the system, we introduced some algorithms for removing systemic differences from the spectra. Then we removed noise and fluorescence signals using a new wavelet created with LWT. The best classification result was 83% in differentiating between normal and cancerous specimens using the SVM classifier


[1] Lewis I. R., Handbook of Raman spectroscopy: Marcel Dekker, 2001.
[2] Twardowski J., Anzenbacher P., Raman and IR Spectroscopy in Biology and Biochemistry: Ellis Horwood, 1994.
[3] Wolthuis R., Schut T. C. B., Caspers P. J., Buschman H. P. J., Romer T. J., Bruining H. A., Puppels G. J., Raman spectroscopic methods for in vitro and in vivo tissue characterization; in fluorescent and luminescent probes for biological activity, 2nd ed: Academic Press, 1999.
[4] Itani Y., Itoh K., Adachi S., Koyama M.,  Kimura T.,  Chin R., Takemura T., Malignant Epithelial Tumor of Unknown Origin of the Broad Ligament; Arch Gynecol Obstet, 2002; 267: 113-116.
[5] VandeWouw A. J., Jansen R. L. H., Speel3 E. J. M., Hillen H. F. P., The Unknown Biology of the Unknown Primary Tumour: A Literature Review; Annals of Oncology, 2003; 14: 191-196.
[6] Ismael G.,  Azambuja E. D., Awada A., Molecular Profiling of a Tumor of Unknown Origin; The New England Journal Of Medicine, 2006; 1071-1072.
[7] Cotran R. S., Kumar V., Robbins S. L., Pathologic Basis of Diseas, 8th ed.: Philadelphia, Pa : Saunders Elsevier, 2010.
[8] Tannock I. F., Hill R. P., Bristow R. G.,Harrington L., The Basic Science Of Oncology, 4th ed.: McGraw-Hill 2004.
[9] Gniadecka M, Wulf H. C., Mortensen N. N., Nielsen O. F., Christensen D. H., Diagnosis Of Basal Cell Carcinoma By Raman Spectroscopy: J Raman spectroscopy,1997; 28: 125-129.
[10] Sigurdsson S., Philipsen P. A., Hansen L. K., Larsen J., Gniadecka M., Detection Of Skin Cancer By Classification Of Raman Spectra; IEEE transactions on biomedical engineering, 2004; 51: 1784-1793.
[11] Park A., Jung I. W., Baek S. J., Kim J. Y., Shin D., An enhancement on the detection of skin cancer based on band approach of confocal raman spectra; in International symposium on information technology conference, 2007: 273-277.
[12] Brozek-Pluska B., Placek I., Kurczewski K., Morawiec Z.,  Tazbir M., Abramczyk H., Breast Cancer Diagnostics By Raman Spectroscopy; J Molecular Liquids, 2008; 141: 145-148.
[13] Abrramczyk H., Surmacki J., Brozek-Pluska B., Morawiec Z., Tazbir M., The Hallmarks Of Breast Cancer By Raman Spectroscopy; J Molecular Structure, 2009: 175-182.
[14] Beljebbar A., Bouche O., Diebold M. D., Guillou P. J.,  Palot J. P., Eudes D., Manfait M., Identification Of Raman Spectroscopic Markers For The Characterization Of Normal And Adenocarcinomatous Colonic Tissues; J Critical Reviews In Oncology/Hematology , 2009;  72: 255-264.
[15]  Wills H., Kast R., Stewart C., Rabah R., Pandya A.,  Poulik J., Auner G., Klein M. D., Raman Spectroscopy Detects And Distinguishes Neuroblastoma And Related Tissues In Fresh And (Banked) Frozen Specimens; J Pediatric Surgery, 2009; 44: 386-391.
[16]  Wills H., Kast R., Stewart C., Sullivan B., Rabah R., Poulik J., Pandya A., Auner G., Klein M. D., Diagnosis Of Wilm's Tumor Using Near-Infrared Raman Spectroscopy; J Pediatric Surgery,2009; 44: 1152-1158.
[17] Lyng F. M., Faolain E. O., Meade A. D., vibrational spectroscopy for cervical cancer pathology,from biochemical analysis to diagnostic tool; Experimental and molecular pathology, 2007; 82: 121-129.
[18] Lin C. J., Projected Gradient Methods for Non-negative Matrix Factorization; Neural Computation, october 2007, vol. 19.
[19] Mallat S., A wavelet tour of signal processing: Academic Press, 1998.
[20] Strang G., Nguyen T., Wavelets and filter banks: Wellesley-Cambridge Press, 1996.
[21] Sweldens W., The Lifting Scheme: a Construction of Second Generation of Wavelets; SIAM J. Math. Anal., 1998; 29: 511-546.
[22] Hollander M., Wolfe D., Nonparametric Statistical Methods: Wiley, 1999.