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Optical anisotropy composition of benign and malignant prostate tissues revealed by Mueller-matrix imaging.
Sieryi, Oleksii; Ushenko, Yuriy; Ushenko, Volodimir; Dubolazov, Olexander; Syvokorovskaya, Anastasia V; Vanchulyak, Oleh; Ushenko, Alexander G; Gorsky, Mykhailo; Tomka, Yuriy; Bykov, Alexander; Yan, Wenjun; Meglinski, Igor.
Afiliación
  • Sieryi O; Optoelectronics and Measurement Techniques, University of Oulu, Oulu, Finland.
  • Ushenko Y; Optics and Publishing Department, Chernivtsi National University, Chernivtsi, Ukraine.
  • Ushenko V; Optics and Publishing Department, Chernivtsi National University, Chernivtsi, Ukraine.
  • Dubolazov O; Optics and Publishing Department, Chernivtsi National University, Chernivtsi, Ukraine.
  • Syvokorovskaya AV; Department of Forensic Medicine and Medical Law, Bukovinian State Medical University, Chernivtsi, Ukraine.
  • Vanchulyak O; Department of Forensic Medicine and Medical Law, Bukovinian State Medical University, Chernivtsi, Ukraine.
  • Ushenko AG; Optics and Publishing Department, Chernivtsi National University, Chernivtsi, Ukraine.
  • Gorsky M; College of Electrical Engineering, Taizhou Research Institute, Zhejiang University, Taizhou, China.
  • Tomka Y; Department of Forensic Medicine and Medical Law, Bukovinian State Medical University, Chernivtsi, Ukraine.
  • Bykov A; Optics and Publishing Department, Chernivtsi National University, Chernivtsi, Ukraine.
  • Yan W; Optoelectronics and Measurement Techniques, University of Oulu, Oulu, Finland.
  • Meglinski I; College of Electrical Engineering, Taizhou Research Institute, Zhejiang University, Taizhou, China.
Biomed Opt Express ; 13(11): 6019-6034, 2022 Nov 01.
Article en En | MEDLINE | ID: mdl-36733722
A Mueller matrix imaging approach is employed to disclose the three-dimensional composition framework of optical anisotropy within cancerous biotissues. Visualized by the Mueller matrix technique spatial architecture of optical anisotropy of tissues is characterised by high-order statistical moments. Thus, quantitative analysis of the spatial distribution of optical anisotropy, such as linear and circular birefringence and dichroism, is revealed by using high-order statistical moments, enabling definitively discriminate prostate adenoma and carcinoma. The developed approach provides greater (>90%) accuracy of diagnostic achieved by using either the 3-rd or 4-th order statistical moments of the linear anisotropy parameters. Noticeable difference is observed between prostate adenoma and carcinoma tissue samples in terms of the extinction coefficient and the degree of depolarisation. Juxtaposition to other optical diagnostic modalities demonstrates the greater accuracy of the approach described herein, paving the way for its wider application in cancer diagnosis and tissue characterization.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Biomed Opt Express Año: 2022 Tipo del documento: Article País de afiliación: Finlandia Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Biomed Opt Express Año: 2022 Tipo del documento: Article País de afiliación: Finlandia Pais de publicación: Estados Unidos