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Geometrically complex 3D-printed phantoms for diffuse optical imaging.
Dempsey, Laura A; Persad, Melissa; Powell, Samuel; Chitnis, Danial; Hebden, Jeremy C.
Afiliação
  • Dempsey LA; Medical Physics and Biomedical Engineering Department, University College London, WC1E 6BT, London, UK.
  • Persad M; Medical Physics and Biomedical Engineering Department, University College London, WC1E 6BT, London, UK.
  • Powell S; Medical Physics and Biomedical Engineering Department, University College London, WC1E 6BT, London, UK.
  • Chitnis D; Medical Physics and Biomedical Engineering Department, University College London, WC1E 6BT, London, UK.
  • Hebden JC; Medical Physics and Biomedical Engineering Department, University College London, WC1E 6BT, London, UK.
Biomed Opt Express ; 8(3): 1754-1762, 2017 Mar 01.
Article em En | MEDLINE | ID: mdl-28663863
ABSTRACT
Tissue-equivalent phantoms that mimic the optical properties of human and animal tissues are commonly used in diffuse optical imaging research to characterize instrumentation or evaluate an image reconstruction method. Although many recipes have been produced for generating solid phantoms with specified absorption and transport scattering coefficients at visible and near-infrared wavelengths, the construction methods are generally time-consuming and are unable to create complex geometries. We present a method of generating phantoms using a standard 3D printer. A simple recipe was devised which enables printed phantoms to be produced with precisely known optical properties. To illustrate the capability of the method, we describe the creation of an anatomically accurate, tissue-equivalent premature infant head optical phantom with a hollow brain space based on MRI atlas data. A diffuse optical image of the phantom is acquired when a high contrast target is inserted into the hollow space filled with an aqueous scattering solution.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2017 Tipo de documento: Article