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Highly undersampled phase‐contrast flow measurements using compartment‐based k – t principal component analysis
Author(s) -
Giese Daniel,
Schaeffter Tobias,
Kozerke Sebastian
Publication year - 2013
Publication title -
magnetic resonance in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.696
H-Index - 225
eISSN - 1522-2594
pISSN - 0740-3194
DOI - 10.1002/mrm.24273
Subject(s) - undersampling , principal component analysis , contrast (vision) , computer science , flow (mathematics) , mathematics , artificial intelligence , nuclear medicine , pattern recognition (psychology) , medicine , geometry
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.