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A workflow for the creation of photorealistic 3D cadaveric models using photogrammetry.
Titmus, Morgan; Whittaker, Gary; Radunski, Milo; Ellery, Paul; Ir de Oliveira, Beatriz; Radley, Hannah; Helmholz, Petra; Sun, Zhonghua.
Afiliación
  • Titmus M; Curtin Medical School, Curtin University, Perth, Australia.
  • Whittaker G; Curtin Medical School, Curtin University, Perth, Australia.
  • Radunski M; Curtin Medical School, Curtin University, Perth, Australia.
  • Ellery P; Curtin Medical School, Curtin University, Perth, Australia.
  • Ir de Oliveira B; Curtin School of Allied Health, Curtin University, Perth, Australia.
  • Radley H; Curtin Medical School, Curtin University, Perth, Australia.
  • Helmholz P; School of Earth and Planetary Sciences, Curtin University, Perth, Australia.
  • Sun Z; Curtin Medical School, Curtin University, Perth, Australia.
J Anat ; 243(2): 319-333, 2023 08.
Article en En | MEDLINE | ID: mdl-37432760
ABSTRACT
Three-dimensional (3D) representations of anatomical specimens are increasingly used as learning resources. Photogrammetry is a well-established technique that can be used to generate 3D models and has only been recently applied to produce visualisations of cadaveric specimens. This study has developed a semi-standardised photogrammetry workflow to produce photorealistic models of human specimens. Eight specimens, each with unique anatomical characteristics, were successfully digitised into interactive 3D models using the described workflow and the strengths and limitations of the technique are described. Various tissue types were reconstructed with apparent preservation of geometry and texture which visually resembled the original specimen. Using this workflow, an institution could digitise their existing cadaveric resources, facilitating the delivery of novel educational experiences.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Fotogrametría Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: J Anat Año: 2023 Tipo del documento: Article País de afiliación: Australia

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Fotogrametría Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: J Anat Año: 2023 Tipo del documento: Article País de afiliación: Australia