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3D optical detection in radiodosimetry: EasyDosit hydrogel characterization.
Coulaud, Jérémy; Brumas, Véronique; Sharrock, Patrick; Fiallo, Marina.
Afiliação
  • Coulaud J; SIMAD LU 50, Université Toulouse 3 Paul Sabatier, avenue Georges Pompidou, 81004 Castres, France. Electronic address: jeremy.coulaud@iut-tlse3.fr.
  • Brumas V; SIMAD LU 50, Université Toulouse 3 Paul Sabatier, avenue Georges Pompidou, 81004 Castres, France.
  • Sharrock P; SIMAD LU 50, Université Toulouse 3 Paul Sabatier, avenue Georges Pompidou, 81004 Castres, France.
  • Fiallo M; SIMAD LU 50, Université Toulouse 3 Paul Sabatier, avenue Georges Pompidou, 81004 Castres, France.
Spectrochim Acta A Mol Biomol Spectrosc ; 220: 117124, 2019 Sep 05.
Article em En | MEDLINE | ID: mdl-31146212
In this study the spectrophotometric behaviour of gelatin-based hydrogels, in the presence and absence of dyes, was studied. The aim was to formulate equivalent-tissue phantoms to be used as 3D-dosimeter, suitable for Optical Computed Tomography (OCT). The hydrogels show good transparency and good stability of baseline optical density and, in the presence of dye, the response of optical density as a function of concentration was higher than in aqueous solution. The hydrogels were formulated in order to reduce the diffusion of the image of the irradiated field over time and to have stable fantoms as a function of time. To this purpose, the diffusion coefficients of two dyes, Bromophenol Blue (BPB) and Bromocresol Green (BCG), were determined as a function of the hydrogel chemical composition. As comparison, in some experiments Xylenol Orange (XO) was used. In particular, the presence of sucrose, as thickener, can reduce to almost half BPB mobility. In conclusion, it was shown that optical properties and controlled dye diffusion in gelatin-based hydrogels could allow using them as 3D-dosimeter for optical detection.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article