Study on image feature extraction and classification for human colorectal cancer using optical coherence tomography

Shu-Wei Huang; Shan-Yi Yang; Wei-Cheng Huang; Han-Mo Chiu; Chih-Wei Lu

doi:10.1117/12.888778

1 June 2011 Study on image feature extraction and classification for human colorectal cancer using optical coherence tomography

Shu-Wei Huang, Shan-Yi Yang, Wei-Cheng Huang, Han-Mo Chiu, Chih-Wei Lu

Author Affiliations +

Proceedings Volume 8091, Optical Coherence Tomography and Coherence Techniques V; 80911Y (2011) https://doi.org/10.1117/12.888778
Event: European Conferences on Biomedical Optics, 2011, Munich, Germany

Abstract

Most of the colorectal cancer has grown from the adenomatous polyp. Adenomatous lesions have a well-documented relationship to colorectal cancer in previous studies. Thus, to detect the morphological changes between polyp and tumor can allow early diagnosis of colorectal cancer and simultaneous removal of lesions. OCT (Optical coherence tomography) has been several advantages including high resolution and non-invasive cross-sectional image in vivo. In this study, we investigated the relationship between the B-scan OCT image features and histology of malignant human colorectal tissues, also en-face OCT image and the endoscopic image pattern. The in-vitro experiments were performed by a swept-source optical coherence tomography (SS-OCT) system; the swept source has a center wavelength at 1310 nm and 160nm in wavelength scanning range which produced 6 um axial resolution. In the study, the en-face images were reconstructed by integrating the axial values in 3D OCT images. The reconstructed en-face images show the same roundish or gyrus-like pattern with endoscopy images. The pattern of en-face images relate to the stages of colon cancer. Endoscopic OCT technique would provide three-dimensional imaging and rapidly reconstruct en-face images which can increase the speed of colon cancer diagnosis. Our results indicate a great potential for early detection of colorectal adenomas by using the OCT imaging.

Citation Download Citation

Shu-Wei Huang, Shan-Yi Yang, Wei-Cheng Huang, Han-Mo Chiu, and Chih-Wei Lu "Study on image feature extraction and classification for human colorectal cancer using optical coherence tomography", Proc. SPIE 8091, Optical Coherence Tomography and Coherence Techniques V, 80911Y (1 June 2011); https://doi.org/10.1117/12.888778

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