Volume 14 Supplement 1
FourFlow - open source code software for quantification and visualization of time-resolved three-directional phase contrast magnetic resonance velocity mapping
© Heiberg et al; licensee BioMed Central Ltd. 2012
Published: 1 February 2012
We have developed an open source software for quantification and visualization of 4D PC-MR data that enables development of new quantitative analysis tools.
Time-resolved three-directional phase contrast magnetic resonance velocity mapping (4D PC-MR) has the potential to be a powerful modality for studying normal physiology and pathophysiology. However, a wider application of 4D PC-MR is hampered by a lack of methods for quantitative analysis. Currently available software packages for visualization of 4D PC-MR do not allow for modifications or additions by users. This limits innovation of new quantification tools, and limits the possibilities to answer specific clinical and physiological questions. Therefore, the aim of this study was to develop a comprehensive open source software for quantification and analysis of 4D PC-MR data that includes the possibility to develop and add new quantitative analysis methods.
As a first step we identified common visualization tasks, and listed required features for quantification and visualization of 4D PC-MR. We reviewed existing open source projects that could be used as a starting platform. ParaView (www.paraview.org) was found to be the best candidate. A new user interface was implemented on top of ParaView. The Segment (segment.heiberg.se) was used to read and process DICOM images.
This project is the first open source software specifically developed for quantitative analysis of 4D PC-MR. By allowing user extensions and modifications the software will facilitate research and development of new quantitative analysis tools.
Swedish research council 2008:2949, 2008:2461. Swedish Knowledge Foundation, Region of Scania.
This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.