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Multi-view autostereoscopic system for 3D visualization in anatomy
Magalhães, Daniel Souza Ferreira; Mansoor, Saad; Weng, Ying; Ghizoni, Enrico; Barbosa, Thiago; Silveira, Fernanda de Almeida; Toledo, Rolando Serra; Li, Li Min.
Afiliação
  • Magalhães, Daniel Souza Ferreira; Brasil University. Scientific and Technological Institute. Optics and Applied Computer Sciences Laboratory. São Paulo. BR
  • Mansoor, Saad; Bangor University. School of Computer Science. Wales. GB
  • Weng, Ying; Bangor University. School of Computer Science. Wales. GB
  • Ghizoni, Enrico; State University of Campinas. School of Medical Sciences. Department of Neurology. Campinas. BR
  • Barbosa, Thiago; State University of Campinas. School of Medical Sciences. Department of Neurology. Campinas. BR
  • Silveira, Fernanda de Almeida; Brasil University. Scientific and Technological Institute. Optics and Applied Computer Sciences Laboratory. São Paulo. BR
  • Toledo, Rolando Serra; University of Havana José Antonio Echeverría. Department of Physics, Technological. La Habana. CU
  • Li, Li Min; State University of Campinas. School of Medical Sciences. Department of Neurology. Campinas. BR
Res. Biomed. Eng. (Online) ; 34(3): 279-283, July.-Sept. 2018. graf
Article em En | LILACS | ID: biblio-1040973
Biblioteca responsável: BR1.1
ABSTRACT
Abstract Introduction The use of 3D imaging in the medical field has proven to be a benefit to doctors when diagnosing patients. As for different medical applications, 3D visualization systems have advantages in terms of a better spatial understanding of anatomical structures, better performance of tasks that require high level of dexterity, increased learning performance, and improved communications with patients or between doctors. Methods In this technical report, we show how to employ a multi-view autostereoscopic system to provide 3D images without any special glasses or equipment, describing a new way to obtain 3D visualization using sets of 2D images instead of real volumetric data such as magnetic resonance imaging (MRI) or computed tomography (CT). We also propose an application of the images in neuroanatomy. Results We obtained three-dimensional images of anatomical parts for visualization without glasses with resolution of 336 × 210 pixels'. Conclusion The proposed method was able to generate three-dimensional high-resolution images and has great potential to be used in various areas such as anatomy and physiological studies.
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Texto completo: 1 Coleções: 01-internacional Base de dados: LILACS Idioma: En Revista: Res. Biomed. Eng. (Online) Assunto da revista: Engenharia Biom‚dica Ano de publicação: 2018 Tipo de documento: Article / Project document País de afiliação: Brasil / Cuba / Reino Unido País de publicação: Brasil

Texto completo: 1 Coleções: 01-internacional Base de dados: LILACS Idioma: En Revista: Res. Biomed. Eng. (Online) Assunto da revista: Engenharia Biom‚dica Ano de publicação: 2018 Tipo de documento: Article / Project document País de afiliação: Brasil / Cuba / Reino Unido País de publicação: Brasil