Improvement of tissue analysis and classification using optical coherence tomography combined with Raman spectroscopy

Chih-Hao Liu; Ji Qi; Jing Lu; Shang Wang; Chen Wu; Wei-Chuan Shih; Kirill V. Larin

doi:doi:10.1142/s1793545815500066

Journal of Innovative Optical Health Sciences, 2015, 8 (4): 1550006, Published Online: Jan. 10, 2019

Improvement of tissue analysis and classification using optical coherence tomography combined with Raman spectroscopy

论文大纲

Chih-Hao Liu ¹Ji Qi ²Jing Lu ²Shang Wang ¹Chen Wu ¹Wei-Chuan Shih ^2,*Kirill V. Larin ^1,3

Author Affiliations

¹ Department of Biomedical Engineering University of Houston 3605 Cullen Blvd., Houston, Texas 77204-5060, USA

² Department of Electrical and Computer Engineering University of Houston 4800 Calhoun Rd., Houston, Texas 77204, USA

³ Department of Molecular Physiology and Biophysics Baylor College of Medicine One Baylor Plaza, Houston, Texas 77030, USA

OCT signal slope principle component analysis multi-support vector machine Raman spectra

Abstract

Optical coherence tomography (OCT) provides significant advantages of high resolution (approaching the histopathology level) real-time imaging of tissues without use of contrast agents. Based on these advantages, the microstructural features of tumors can be visualized and detected intra-operatively: However, it is still not clinically accepted for tumor margin delineation due to poor specificity and accuracy. In contrast, Raman spectroscopy (RS) can obtain tissue information at the molecular level, but does not provide real-time imaging capability. Therefore, combining OCT and RS could provide synergy. To this end, we present a tissue analysis and classification method using both the slope of OCT intensity signal vs depth and the principle components from the RS spectrum as the indicators for tissue characterization. The goal of this study was to understand prediction accuracy of OCT and combined OCT/RS method for classification of optically similar tissues and organs. Our pilot experiments were performed on mouse kidneys, livers, and small intestines (SIs). The prediction accuracy with fivefold cross validation of the method has been evaluated by the support vector machine (SVM) method. The results demonstrate that tissue characterization based on the OCT/RS method was superior compared to using OCT structural information alone. This combined OCT/RS method is potentially useful as a noninvasive optical biopsy technique for rapid and automatic tissue characterization during surgery.

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Chih-Hao Liu, Ji Qi, Jing Lu, Shang Wang, Chen Wu, Wei-Chuan Shih, Kirill V. Larin. Improvement of tissue analysis and classification using optical coherence tomography combined with Raman spectroscopy[J]. Journal of Innovative Optical Health Sciences, 2015, 8(4): 1550006.

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