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  1. NTU Scholars
  2. 電機資訊學院
  3. 電機工程學系
Please use this identifier to cite or link to this item: https://scholars.lib.ntu.edu.tw/handle/123456789/339008
Title: Delineation of an oral cancer lesion with swept-source optical coherence tomography
Authors: Tsai, M.-T.
Lee, H.-C.
Lu, C.-W.
Wang, Y.-M.
Lee, C.-K.
Yang, C.C.
Chiang, C.-P.
CHUN-PIN CHIANG 
CHIH-CHUNG YANG 
Issue Date: 2008
Journal Volume: 13
Journal Issue: 4
Source: Journal of Biomedical Optics 
Abstract: 
We 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.
URI: http://www.scopus.com/inward/record.url?eid=2-s2.0-58149376555&partnerID=MN8TOARS
http://scholars.lib.ntu.edu.tw/handle/123456789/339008
DOI: 10.1117/1.2960632
SDG/Keyword: Abnormal 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 Coherence
[SDGs]SDG3
Appears in Collections:電機工程學系

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臺大位居世界頂尖大學之列,為永久珍藏及向國際展現本校豐碩的研究成果及學術能量,圖書館整合機構典藏(NTUR)與學術庫(AH)不同功能平台,成為臺大學術典藏NTU scholars。期能整合研究能量、促進交流合作、保存學術產出、推廣研究成果。

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