MRXCAT: Realistic numerical phantoms for cardiovascular magnetic resonance.
- Wissmann L Institute for Biomedical Engineering, University and ETH Zurich, Gloriastrasse 35, Zurich, 8092, Switzerland. wissmann@biomed.ee.ethz.ch.
- Santelli C Institute for Biomedical Engineering, University and ETH Zurich, Gloriastrasse 35, Zurich, 8092, Switzerland. santelli@biomed.ee.ethz.ch.
- Segars WP Department of Radiology, Carl E Ravin Advanced Imaging Laboratories, The Duke University Medical Center, Durham, USA. paul.segars@duke.edu.
- Kozerke S Institute for Biomedical Engineering, University and ETH Zurich, Gloriastrasse 35, Zurich, 8092, Switzerland. kozerke@biomed.ee.ethz.ch.
- 2014-09-11
Published in:
- Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance. - 2014
Breath Holding
Cardiac-Gated Imaging Techniques
Computer Simulation
Coronary Circulation
Feasibility Studies
Heart Rate
Humans
Magnetic Resonance Imaging, Cine
Models, Cardiovascular
Myocardial Perfusion Imaging
Numerical Analysis, Computer-Assisted
Phantoms, Imaging
Predictive Value of Tests
Reproducibility of Results
Software Design
English
BACKGROUND
Computer simulations are important for validating novel image acquisition and reconstruction strategies. In cardiovascular magnetic resonance (CMR), numerical simulations need to combine anatomical information and the effects of cardiac and/or respiratory motion. To this end, a framework for realistic CMR simulations is proposed and its use for image reconstruction from undersampled data is demonstrated.
METHODS
The extended Cardiac-Torso (XCAT) anatomical phantom framework with various motion options was used as a basis for the numerical phantoms. Different tissue, dynamic contrast and signal models, multiple receiver coils and noise are simulated. Arbitrary trajectories and undersampled acquisition can be selected. The utility of the framework is demonstrated for accelerated cine and first-pass myocardial perfusion imaging using k-t PCA and k-t SPARSE.
RESULTS
MRXCAT phantoms allow for realistic simulation of CMR including optional cardiac and respiratory motion. Example reconstructions from simulated undersampled k-t parallel imaging demonstrate the feasibility of simulated acquisition and reconstruction using the presented framework. Myocardial blood flow assessment from simulated myocardial perfusion images highlights the suitability of MRXCAT for quantitative post-processing simulation.
CONCLUSION
The proposed MRXCAT phantom framework enables versatile and realistic simulations of CMR including breathhold and free-breathing acquisitions.
Computer simulations are important for validating novel image acquisition and reconstruction strategies. In cardiovascular magnetic resonance (CMR), numerical simulations need to combine anatomical information and the effects of cardiac and/or respiratory motion. To this end, a framework for realistic CMR simulations is proposed and its use for image reconstruction from undersampled data is demonstrated.
METHODS
The extended Cardiac-Torso (XCAT) anatomical phantom framework with various motion options was used as a basis for the numerical phantoms. Different tissue, dynamic contrast and signal models, multiple receiver coils and noise are simulated. Arbitrary trajectories and undersampled acquisition can be selected. The utility of the framework is demonstrated for accelerated cine and first-pass myocardial perfusion imaging using k-t PCA and k-t SPARSE.
RESULTS
MRXCAT phantoms allow for realistic simulation of CMR including optional cardiac and respiratory motion. Example reconstructions from simulated undersampled k-t parallel imaging demonstrate the feasibility of simulated acquisition and reconstruction using the presented framework. Myocardial blood flow assessment from simulated myocardial perfusion images highlights the suitability of MRXCAT for quantitative post-processing simulation.
CONCLUSION
The proposed MRXCAT phantom framework enables versatile and realistic simulations of CMR including breathhold and free-breathing acquisitions.
- Language
-
- English
- Open access status
- gold
- Identifiers
-
- DOI 10.1186/s12968-014-0063-3
- PMID 25204441
- Persistent URL
- https://sonar.ch/global/documents/52135
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