Multi-view autostereoscopic system for 3D visualization in anatomy

Daniel Souza Ferreira Magalhães, Saad Mansoor, Ying Weng, Enrico Ghizoni, Thiago Barbosa, Fernanda De Almeida Silveira, Rolando Serra Toledo, Li Min Li

Research output: Journal PublicationArticlepeer-review

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.

Original languageEnglish
Pages (from-to)279-283
Number of pages5
JournalResearch on Biomedical Engineering
Volume34
Issue number3
DOIs
Publication statusPublished - 2018
Externally publishedYes

Keywords

  • 3D medical imaging
  • 3D visualization systems
  • Anatomy
  • Multi-view autostereoscopic display
  • Neuroanatomy

ASJC Scopus subject areas

  • Biomedical Engineering

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