Highly undersampled phase‐contrast flow measurements using compartment‐based k–t principal component analysis |
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Authors: | Daniel Giese Tobias Schaeffter Sebastian Kozerke |
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Affiliation: | 1. Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland;2. Division of Imaging Sciences and Biomedical Engineering, King's College London, London, United Kingdom |
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Abstract: | The applicability of cine blood flow measurements in a clinical setting is often compromised by the long scan times associated with phase‐contrast imaging. In this work, we propose an extension to the k–t principal component analysis method and demonstrate that by definition of spatial compartment‐dependent temporal basis functions, significant improvements in reconstruction accuracy can be achieved relative to the original k–t principal component analysis and k–t SENSE formulations. Using this method, it is shown that prospective nominal undersampling of up to 16 corresponding to a net acceleration factor of 8 including training data acquisition can be realized while keeping the error in stroke volume below 5%. As a practical application, the acquisition of cine flow data in the aorta is demonstrated permitting assessment of two‐dimensional velocity images and pulse wave velocities at 100 frames per second in a single breathhold per slice. Magn Reson Med, 2013. © 2012 Wiley Periodicals, Inc. |
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Keywords: | flow measurements phase contrast k– t acceleration constrained reconstruction principal component analysis |
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