Visual perception enhancement for detection of cancerous oral tissue by multi-spectral imaging

Color reproduction systems based on the multi-spectral imaging technique (MSI) for both directly estimating reflection spectra and direct visualization of oral tissues using various light sources are proposed. Images from three oral cancer patients were taken as the experimental samples, and spectral differences between pre-cancerous and normal oral mucosal tissues were calculated at three time points during 5-aminolevulinic acid photodynamic therapy (ALA-PDT) to analyze whether they were consistent with disease processes. To check the successful treatment of oral cancer with ALA-PDT, oral cavity images by swept source optical coherence tomography (SS-OCT) are demonstrated. This system can also reproduce images under different light sources. For pre-cancerous detection, the oral images after the second ALA-PDT are assigned as the target samples. By using RGB LEDs with various correlated color temperatures (CCTs) for color difference comparison, the light source with a CCT of about 4500 K was found to have the best ability to enhance the color difference between pre-cancerous and normal oral mucosal tissues in the oral cavity. Compared with the fluorescent lighting commonly used today, the color difference can be improved by 39.2% from 16.5270 to 23.0023. Hence, this light source and spectral analysis increase the efficiency of the medical diagnosis of oral cancer and aid patients in receiving early treatment.

[1]  C. McCamy,et al.  Correlated color temperature as an explicit function of chromaticity coordinates , 1992 .

[2]  L. Maloney.  Evaluation of linear models of surface spectral reflectance with small numbers of parameters. , 1986, Journal of the Optical Society of America. A, Optics and image science.

[3]  C. Chiang,et al.  Successful treatment of oral verrucous hyperplasia and oral leukoplakia with topical 5‐aminolevulinic acid‐mediated photodynamic therapy , 2005, Lasers in surgery and medicine.

[4]  C. Chiang,et al.  Photodynamic therapy outcome for oral verrucous hyperplasia depends on the clinical appearance, size, color, epithelial dysplasia, and surface keratin thickness of the lesion. , 2008, Oral oncology.

[5]  J. Parkkinen,et al.  Characteristic spectra of Munsell colors , 1989 .

[6]  T. Smith,et al.  The C.I.E. colorimetric standards and their use , 1931 .

[7]  C. Chiang,et al.  Comparison of clinical outcomes of oral erythroleukoplakia treated with photodynamic therapy using either light‐emitting diode or laser light , 2009, Lasers in surgery and medicine.

[8]  Bozena Kaminska,et al.  Hyperspectral optical imaging of tissues using silicon micromachined microchannel arrays , 2010, Photonics North.

[9]  José M Medina,et al.  Hyperspectral optical imaging of human iris in vivo: characteristics of reflectance spectra. , 2011, Journal of biomedical optics.

[10]  Hsiang-Chen Wang,et al.  Optimal lighting of RGB LEDs for oral cavity detection. , 2012, Optics express.

[11]  Cristina Kurachi,et al.  Multispectral and hyperspectral in vivo imaging of the oral cavity for neoplastic tissue detection , 2008 .

[12]  Haishan Zeng,et al.  Simple device for the direct visualization of oral-cavity tissue fluorescence. , 2006, Journal of biomedical optics.

[13]  V. S. Bagnato,et al.  Photodynamic therapy induced vascular damage: an overview of experimental PDT , 2013 .

[14]  Sabine Süsstrunk,et al.  Chromatic adaptation performance of different RGB sensors , 2000, IS&T/SPIE Electronic Imaging.

[15]  Yuk-Ming Lam,et al.  Evaluation of the Quality of Different D65 Simulators for Visual Assessment , 2002 .

[16]  Rimantas Vaicekauskas,et al.  Solid-state lamps with optimized color saturation ability. , 2010, Optics express.

[17]  J. Cohen.  Dependency of the spectral reflectance curves of the Munsell color chips , 1964 .

[18]  Michael H. Brill,et al.  Colour Engineering: Achieving Device Independent Colour , 2004 .

[19]  Michael H. Brill,et al.  Color appearance models , 1998 .

[20]  Benjamin Bird,et al.  Cytopathology by optical methods: spectral cytopathology of the oral mucosa , 2010, Laboratory Investigation.

[21]  Fang-Hsuan Cheng,et al.  Enhanced visualization of oral cavity for early inflamed tissue detection. , 2010, Optics express.

[22]  E. Hillman,et al.  Ultra-fast multispectral optical imaging of cortical oxygenation, blood flow, and intracellular calcium dynamics. , 2009, Optics express.

[23]  Tsuimin Tsai,et al.  Photodynamic Therapy of oral dysplasia with topical 5‐aminolevulinic acid and light‐emitting diode array , 2004, Lasers in surgery and medicine.

[24]  Matthew Anderson,et al.  Proposal for a Standard Default Color Space for the Internet - sRGB , 1996, CIC.

[25]  Rebecca Richards-Kortum,et al.  Low-cost, multimodal, portable screening system for early detection of oral cancer. , 2008, Journal of biomedical optics.

[26]  M. Luo,et al.  CMC 2000 Chromatic Adaptation Transform: CMCCAT2000 , 2002 .