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Study of the spatial scale stability of Mueller matrix parameters for textural characterization of biological tissues.
Chen, Yongtai; Chu, Jinkui; Tang, William C; Zhang, Ran; Zhao, Mingyu; Xin, Benda.
Affiliation
  • Chen Y; School of Mechanical Engineering, Dalian University of Technology, Dalian, China.
  • Chu J; School of Mechanical Engineering, Dalian University of Technology, Dalian, China.
  • Tang WC; Department of Biomedical Engineering, University of California, Irvine, California, USA.
  • Zhang R; School of Mechanical Engineering, Dalian University of Technology, Dalian, China.
  • Zhao M; School of Mechanical Engineering, Dalian University of Technology, Dalian, China.
  • Xin B; School of Mechanical Engineering, Dalian University of Technology, Dalian, China.
J Biophotonics ; 15(5): e202100269, 2022 05.
Article de En | MEDLINE | ID: mdl-34837329
Mueller matrix imaging polarimetry (MMIP) is a promising technique for the textural characterization of biological tissue structures. To reveal the influence of imaging magnification on the robustness of Mueller matrix parameters (MMPs), the spatial scale stability of MMPs was studied. We established a new MMIP detector and derived the mathematical model of the spatial scale stability of MMPs. The biological tissues with well-defined structural components were imaged under different magnifications. Then, we compared and analyzed the textural features of the MMPs in the resulting images. The experimental results match the predictions of the mathematical model in these aspects: (a) magnification exhibits a strong nonlinear effect on the textural contrasts of MMPs images; (b) higher magnification does not necessarily lead to superior contrast for textural characterization; and (c) for different biological tissues, MMPs contrasts can be optimized differently, with some showing superior results. This study provides a reference for the experimental design and operation of the MMIP technique and is helpful for improving the characterization ability of MMPs.
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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Imagerie diagnostique / Modèles théoriques Type d'étude: Diagnostic_studies / Prognostic_studies Langue: En Journal: J Biophotonics Sujet du journal: BIOFISICA Année: 2022 Type de document: Article Pays d'affiliation: Chine Pays de publication: Allemagne

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Imagerie diagnostique / Modèles théoriques Type d'étude: Diagnostic_studies / Prognostic_studies Langue: En Journal: J Biophotonics Sujet du journal: BIOFISICA Année: 2022 Type de document: Article Pays d'affiliation: Chine Pays de publication: Allemagne