MRXCAT: Realistic numerical phantoms for cardiovascular magnetic resonance.
J Cardiovasc Magn Reson
; 16: 63, 2014 Aug 20.
Article
em En
| MEDLINE
| ID: mdl-25204441
ABSTRACT
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.
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Simulação por Computador
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Análise Numérica Assistida por Computador
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Design de Software
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Imagens de Fantasmas
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Imagem Cinética por Ressonância Magnética
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Técnicas de Imagem de Sincronização Cardíaca
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Imagem de Perfusão do Miocárdio
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Modelos Cardiovasculares
Tipo de estudo:
Evaluation_studies
/
Prognostic_studies
Limite:
Humans
Idioma:
En
Ano de publicação:
2014
Tipo de documento:
Article