A framework of web3D-based medical data reconstruction and visualization

Conference proceedings article

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Publication Details

Author list: Settapat S., Archirapatkave V., Achalakul T., Ohkura M.

Publisher: Hindawi

Publication year: 2010

ISBN: 9781424463749

ISSN: 0146-9428

eISSN: 1745-4557

URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-77957864970&doi=10.1109%2fHEALTH.2010.5556537&partnerID=40&md5=61135b4a9bd5b6c0071c28a19bcb7d13

Languages: English-Great Britain (EN-GB)

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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. ฉ 2010 IEEE.

Keywords

Marching cube, MRI, MVC framework, Reconstruction