TY - GEN
T1 - Improvement of tissue analysis and classification using optical coherence tomography combined with Raman spectroscopy
AU - Liu, Chih Hao
AU - Qi, Ji
AU - Lu, Jing
AU - Wang, Shang
AU - Wu, Chen
AU - Shih, Wei Chuan
AU - Larin, Kirill V.
PY - 2014
Y1 - 2014
N2 - Optical coherence tomography (OCT) is an optical imaging technique that is capable of performing high-resolution (approaching the histopathology level) and real-time imaging of tissues without use of contrast agents. Based on these advantages, the pathological features of tumors (in micro scale) can be identified during resection surgery. However, the accuracy of tumor margin prediction still needs to be enhanced for assisting the judgment of surgeons. In this regard, we present a two-dimensional computational method for advanced tissue analysis and characterization based on optical coherence tomography (OCT) and Raman spectroscopy (RS). The method combines the slope of OCT intensity signal and the Principal component (PC) of RS, and relies on the tissue optical attenuation and chemical ingredients for the classification of tissue types. Our pilot experiments were performed on mouse kidney, liver and small intestine. Results demonstrate the improvement of the tissue differentiation compared with the analysis only based on the OCT detection. This combined OCT/RS method is potentially useful as a novel optical biopsy technique for cancer detection.
AB - Optical coherence tomography (OCT) is an optical imaging technique that is capable of performing high-resolution (approaching the histopathology level) and real-time imaging of tissues without use of contrast agents. Based on these advantages, the pathological features of tumors (in micro scale) can be identified during resection surgery. However, the accuracy of tumor margin prediction still needs to be enhanced for assisting the judgment of surgeons. In this regard, we present a two-dimensional computational method for advanced tissue analysis and characterization based on optical coherence tomography (OCT) and Raman spectroscopy (RS). The method combines the slope of OCT intensity signal and the Principal component (PC) of RS, and relies on the tissue optical attenuation and chemical ingredients for the classification of tissue types. Our pilot experiments were performed on mouse kidney, liver and small intestine. Results demonstrate the improvement of the tissue differentiation compared with the analysis only based on the OCT detection. This combined OCT/RS method is potentially useful as a novel optical biopsy technique for cancer detection.
KW - Optical coherence tomography
KW - Principle component analysis
KW - Raman spectroscopy
KW - Support vector machine
KW - Tissue characterization
UR - http://www.scopus.com/inward/record.url?scp=84900436116&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84900436116&partnerID=8YFLogxK
U2 - 10.1117/12.2038508
DO - 10.1117/12.2038508
M3 - Conference contribution
AN - SCOPUS:84900436116
SN - 9780819498557
T3 - Progress in Biomedical Optics and Imaging - Proceedings of SPIE
BT - Dynamics and Fluctuations in Biomedical Photonics XI
T2 - Dynamics and Fluctuations in Biomedical Photonics XI
Y2 - 1 February 2014 through 2 February 2014
ER -