A framework of web3D-based medical data reconstruction and visualization

Sittapong Settapat, Virasin Archirapatkave, Tiranee Achalakul, Michiko Ohkura

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

A 3D reconstruction and visualization framework from a sequence of 2D cross-sectional images has aroused extensive concern particularly in medical science and engineering. In this research, we design parallel reconstruction and visualization frameworks for medical data reconstruction and visualization. Reconstruction methods for medical data normally require high-performance computing. In this paper we make a web-based 3D reconstruction service and present a parallel computing framework for real-time processing. The visualization framework design visualizes a generated 3D model. Moreover, we implement a web-based 3D medical data reconstruction and visualization application that integrates both proposed frameworks and design our framework integrated with X3D technology and a modular approach. The web-based X3D framework integrated with a modular approach can extend cross-platform and inter-application data transfer ability and support run-time architecture to represent and communicate 3D scenes and objects.

Original languageEnglish
Title of host publication12th IEEE International Conference on e-Health Networking, Application and Services, Healthcom 2010
DOIs
Publication statusPublished - 2010 Oct 19
Event12th IEEE International Conference on e-Health Networking, Application and Services, Healthcom 2010 - Lyon, France
Duration: 2010 Jul 12010 Jul 3

Publication series

Name12th IEEE International Conference on e-Health Networking, Application and Services, Healthcom 2010

Conference

Conference12th IEEE International Conference on e-Health Networking, Application and Services, Healthcom 2010
CountryFrance
CityLyon
Period10/7/110/7/3

Keywords

  • Distance learning
  • MRI
  • MVC framework
  • Marching cube
  • Reconstruction
  • Visualization
  • Web3D

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Health Informatics
  • Health Information Management

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  • Cite this

    Settapat, S., Archirapatkave, V., Achalakul, T., & Ohkura, M. (2010). A framework of web3D-based medical data reconstruction and visualization. In 12th IEEE International Conference on e-Health Networking, Application and Services, Healthcom 2010 [5556537] (12th IEEE International Conference on e-Health Networking, Application and Services, Healthcom 2010). https://doi.org/10.1109/HEALTH.2010.5556537