Web-based 3D medical image visualization framework for biomedical engineering education

Sittapong Settapat, Tiranee Achalakul, Michiko Ohkura

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

Medical imaging is one of the major fields in the multi-disciplinary curriculum of biomedical engineering (BME). Biomedical engineers from different backgrounds need to understand biology in order to be able to develop effective equipment to improve healthcare diagnosis through medical images. Visualization tools are important in the learning process to improve biomedical engineer's understanding of medical imagery. In this work, we design a web-based 3D medical image visualization framework that can be used to improve medical image understanding in biology and anatomy. Our proposed framework provides not only 3D visualization, but also 3D reconstruction for medical images. This paper describes the design framework and the technology integration, as well as the implementation details. The developed system has been used as an educational tool prototype in a BME department. In order to evaluate the tool's usability, we tested it with BME students as well as doctors. We compared a conventional 2D visualization application and our proposed method with regard to system efficiency and user satisfaction. The 3D system generally demonstrated better performance and a higher level of satisfaction. The students were able to use our 3D tool to study 2D images effectively without prior background knowledge in anatomy.

Original languageEnglish
Pages (from-to)216-226
Number of pages11
JournalComputer Applications in Engineering Education
Volume22
Issue number2
DOIs
Publication statusPublished - 2014 Jun

Keywords

  • 3D reconstruction
  • 3D visualization
  • X3D
  • distance learning
  • medical image visualization

ASJC Scopus subject areas

  • Computer Science(all)
  • Education
  • Engineering(all)

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