- Poster presentation
- Open Access
Low latency iterative reconstruction of first pass stress cardiac perfusion with physiological stress using graphical processing unit
© Roujol et al; licensee BioMed Central Ltd. 2013
- Published: 30 January 2013
- Graphic Processing Unit
- Compress Sense
- Graphic Processing Unit Implementation
- Reconstruction Step
- Compress Sense Reconstruction
Cardiac MR perfusion has been shown to provide high diagnostic accuracy in detection of the coronary artery disease . We have recently installed an MR-compatible supine bicycle mounted on the scanner table, which allows performing CMR perfusion immediately after physiologic stress. However, patients are unable to sustain a breathold after physical exercise, limiting the choice of acceleration techniques such as k-t approaches. Additionally, due to subject motion during exercise, coil sensitivity map are inaccurate resulting in imaging artifacts in conventional parallel imaging reconstruction. Compressed sensing (CS) is an alternative acceleration technique that enables high acceleration even without exploiting temporal dimension or need for coil maps. However, iterative CS reconstruction of randomly undersampled k-space is lengthy, performed off-line and is not usually integrated into the workflow of a clinical scan which requires viewing and initial assessment on the scanner console and storing the clinical images on the hospital PACS system. In this proposal, we aim to develop an accelerated iterative CS reconstruction workflow for reconstruction of CS acquired perfusion data using physical stress perfusion.
Computation time of the different reconstruction steps obtained for a complete CMR perfusion dataset.
Load raw data on the scanner
Pre-process raw data on the scanner
Save pre-processed raw data on the scanner
Send data to the GPU workstation
Compute the CS reconstruction
4 min, 5s (51 min)
Transfer the data back to the scanner workstation
Post-process the reconstructed data and save to the scanner database
5 min, 15s (52 min, 10s)
GPU based CS-reconstruction significantly improved the reconstruction time and guarantee a minimal latency required for optimized clinical MR protocol for CMR perfusion during physical stress.
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.