« Previous Next » Medical Engineering & Physics
Volume 32, Issue 2 , Pages 174-188 , March 2010

Cardiac flow component analysis

Kelvin K.L. Wong
- School of Aerospace, Mechanical & Manufacturing Engineering, RMIT University, PO Box 71, Bundoora, VIC 3083, Australia
- Center for Biomedical Engineering and School of Electrical & Electronics Engineering, University of Adelaide, SA 5005, Australia
- Corresponding author at: School of Aerospace, Mechanical & Manufacturing Engineering, RMIT University, PO Box 71, Bundoora, VIC 3083, Australia. Tel.: +61 03 9925 6164.
Jiyuan Tu
- School of Aerospace, Mechanical & Manufacturing Engineering, RMIT University, PO Box 71, Bundoora, VIC 3083, Australia
Richard M. Kelso
- School of Mechanical Engineering, University of Adelaide, SA 5005, Australia
Stephen G. Worthley
- School of Medicine, University of Adelaide, and Department of Cardiology, Royal Adelaide Hospital, SA 5005, Australia
Prashanthan Sanders
- School of Medicine, University of Adelaide, and Department of Cardiology, Royal Adelaide Hospital, SA 5005, Australia
Jagannath Mazumdar
- Center for Biomedical Engineering and School of Electrical & Electronics Engineering, University of Adelaide, SA 5005, Australia
Derek Abbott
- Center for Biomedical Engineering and School of Electrical & Electronics Engineering, University of Adelaide, SA 5005, Australia

Received 26 February 2009 ,Revised 19 November 2009 ,Accepted 22 November 2009.

To access this article, please choose from the options below

☆ The authors developed and use a medical image processing software named Medflovan to produce the results displayed in this paper. This is a system entirely created using the C++ object-oriented programming platform to provide cardiac flow visualization and analysis. Cardiac flow computation and visualization is performed on a Pentium 4-class processor on a dedicated graphics card with 512MB of memory.