Tsai M.-T.HSIANG-CHIEH LEELu C.-W.Wang Y.-M.Lee C.-K.Yang C.C.CHUN-PIN CHIANG2020-10-202020-10-202008https://www.scopus.com/inward/record.uri?eid=2-s2.0-58149376555&doi=10.1117%2f1.2960632&partnerID=40&md5=6e880770f2cb7935c7d8c57cd07da88chttps://scholars.lib.ntu.edu.tw/handle/123456789/517393We demonstrate the ex vivo imaging of an oral cancerous sample with a swept-source optical coherence tomography (SS-OCT) system. With the axial resolution of 8μm in free space and system sensitivity of 108dB, we can well distinguish the normal and abnormal tissue portions in a sample. In particular, we analyze the lateral variation of A-scan profiles to show two parameters of SS-OCT signal for delineating an oral cancer lesion. One of the parameters is the decay constant in the exponential fitting of the SS-OCT signal intensity along depth. This decay constant decreases as the A-scan point moves laterally across the margin of a lesion. The other parameter is the standard deviation of the SS-OCT signal intensity fluctuation in an A-scan. This parameter increases significantly when the A-scan point is moved across the transition region between the normal and abnormal portions. Such parameters are useful for determining the margins of oral cancer. ? 2008 Society of Photo-Optical Instrumentation Engineers.[SDGs]SDG3Abnormal tissues; Axial resolutions; biomedical optics; Coherent optical systems; Decay constants; Ex vivo imaging; Exponential fitting; Free space; Lateral variations; Oral cancer; Point moves; Signal intensities; Standard deviation; Swept source; System sensitivity; Transition regions; Two parameter; Optical systems; Tissue; Tomography; Diseases; algorithm; article; artificial intelligence; automated pattern recognition; computer assisted diagnosis; human; image enhancement; instrumentation; methodology; mouth tumor; optical coherence tomography; pathology; reproducibility; sensitivity and specificity; Algorithms; Artificial Intelligence; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Mouth Neoplasms; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity; Tomography, Optical CoherenceDelineation of an oral cancer lesion with swept-source optical coherence tomography10.1117/1.29606322-s2.0-58149376555