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Optical Polarimetric Detection for Dental Hard Tissue Diseases Characterization.
Hsiao, Tien-Yu; Lee, Shyh-Yuan; Sun, Chia-Wei.
Afiliación
  • Hsiao TY; Biomedical Optical Imaging Lab, Department of Photonics, College of Electrical and Computer Engineering, National Chiao Tung University, No.1001, University Road, East District, Hsinchu City 30010, Taiwan.
  • Lee SY; Department of Stomatology, Taipei Veterans General Hospital, No. 201, Section 2, Shipai Road, Beitou District, Taipei City 11217, Taiwan.
  • Sun CW; School of Dentistry, National Yang-Ming University, No. 155, Section 2, Linong Street, Beitou District, Taipei City 11221, Taiwan.
Sensors (Basel) ; 19(22)2019 Nov 14.
Article en En | MEDLINE | ID: mdl-31739635
Dental enamel constitutes the outer layer of a crown of teeth and grows nearly parallel. This unique nanostructure makes enamel possess birefringence properties. Currently, there is still no appropriate clinical solution to examine dental hard tissue diseases. Therefore, we developed an optical polarization imaging system for diagnosing dental calculus, caries, and cracked tooth syndrome. By obtaining Stokes signals reflected from samples, Mueller images were constructed and analyzed using Lu-Chipman decomposition. The results showed that diattenuation and linear retardance images can distinguish abnormal tissues. Our result also aligns with previous studies assessed by other methods. Polarimetric imaging is promising for real-time diagnosing.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Análisis Espectral / Diente / Enfermedades Estomatognáticas / Esmalte Dental Tipo de estudio: Diagnostic_studies Límite: Humans Idioma: En Revista: Sensors (Basel) Año: 2019 Tipo del documento: Article País de afiliación: Taiwán Pais de publicación: Suiza
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Análisis Espectral / Diente / Enfermedades Estomatognáticas / Esmalte Dental Tipo de estudio: Diagnostic_studies Límite: Humans Idioma: En Revista: Sensors (Basel) Año: 2019 Tipo del documento: Article País de afiliación: Taiwán Pais de publicación: Suiza