An Easy Setup for Parallel Medical Image Processing: Using Taverna and ARC.
Details
Serval ID
serval:BIB_4655D9553B68
Type
A part of a book
Publication sub-type
Chapter: chapter ou part
Collection
Publications
Institution
Title
An Easy Setup for Parallel Medical Image Processing: Using Taverna and ARC.
Title of the book
Healthgrid Research, Innovation and Business Case
Publisher
IOS Press
ISBN
978-1-60750-027-8
ISSN
0926-9630 (Print)
ISSN-L
0926-9630
Publication state
Published
Issued date
2009
Peer-reviewed
Oui
Volume
147
Series
Studies in health technology and informatics
Pages
41-50
Language
english
Abstract
Medical image processing is known as a computationally expensive and data intensive domain. It is thus well-suited for Grid computing. However, Grid computing usually requires the applications to be designed for parallel processing, which is a challenge for medical imaging researchers in hospitals that are most often not used to this. Making parallel programming methods easier to apply can promote Grid technologies in clinical environments. Readily available, functional tools with an intuitive interface are required to really promote healthgrids. Moreover, the tools need to be well integrated with the Grid infrastructure. To facilitate the adoption of Grids in the Geneva University Hospitals we have set up a develop environment based on the Taverna workflow engine. Its usage with a medical imaging application on the hospitals' internal Grid cluster is presented in this paper.
Keywords
Diagnostic Imaging, Image Processing, Computer-Assisted, Software
Pubmed
Web of science
Create date
29/08/2023 7:45
Last modification date
30/08/2024 11:03