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

Sittapong Settapat, Tiranee Achalakul, Michiko Ohkura

Research output: Contribution to journalArticle

7 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

Fingerprint

Biomedical engineering
Engineering education
visualization
Visualization
engineering
education
biology
Students
engineer
Image understanding
Engineers
Medical imaging
Curricula
learning process
reconstruction
student
curriculum
efficiency
performance

Keywords

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

ASJC Scopus subject areas

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

Cite this

Web-based 3D medical image visualization framework for biomedical engineering education. / Settapat, Sittapong; Achalakul, Tiranee; Ohkura, Michiko.

In: Computer Applications in Engineering Education, Vol. 22, No. 2, 2014, p. 216-226.

Research output: Contribution to journalArticle

Settapat, Sittapong ; Achalakul, Tiranee ; Ohkura, Michiko. / Web-based 3D medical image visualization framework for biomedical engineering education. In: Computer Applications in Engineering Education. 2014 ; Vol. 22, No. 2. pp. 216-226.
@article{ffbb8668681748b3a4bf126048d59db4,
title = "Web-based 3D medical image visualization framework for biomedical engineering education",
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.",
keywords = "3D reconstruction, 3D visualization, distance learning, medical image visualization, X3D",
author = "Sittapong Settapat and Tiranee Achalakul and Michiko Ohkura",
year = "2014",
doi = "10.1002/cae.20548",
language = "English",
volume = "22",
pages = "216--226",
journal = "Computer Applications in Engineering Education",
issn = "1061-3773",
publisher = "John Wiley and Sons Inc.",
number = "2",

}

TY - JOUR

T1 - Web-based 3D medical image visualization framework for biomedical engineering education

AU - Settapat, Sittapong

AU - Achalakul, Tiranee

AU - Ohkura, Michiko

PY - 2014

Y1 - 2014

N2 - 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.

AB - 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.

KW - 3D reconstruction

KW - 3D visualization

KW - distance learning

KW - medical image visualization

KW - X3D

UR - http://www.scopus.com/inward/record.url?scp=84899485019&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84899485019&partnerID=8YFLogxK

U2 - 10.1002/cae.20548

DO - 10.1002/cae.20548

M3 - Article

VL - 22

SP - 216

EP - 226

JO - Computer Applications in Engineering Education

JF - Computer Applications in Engineering Education

SN - 1061-3773

IS - 2

ER -