Iterative k-t principal component analysis with nonrigid motion correction for dynamic three-dimensional cardiac perfusion imaging
Johannes F. M. Schmidt
Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland
Search for more papers by this authorLukas Wissmann
Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland
Search for more papers by this authorRobert Manka
Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland
Department of Cardiology, University Hospital Zurich, Zurich, Switzerland
Department of Radiology, University Hospital Zurich, Zurich, Switzerland
Search for more papers by this authorCorresponding Author
Sebastian Kozerke
Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland
Division of Imaging Sciences and Biomedical Engineering, King's College London, London, UK
Correspondence to: Sebastian Kozerke, Ph.D., Institute for Biomedical Engineering, University and ETH Zurich, Gloriastrasse 35, Zurich 8092, Switzerland. E-mail: [email protected]Search for more papers by this authorJohannes F. M. Schmidt
Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland
Search for more papers by this authorLukas Wissmann
Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland
Search for more papers by this authorRobert Manka
Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland
Department of Cardiology, University Hospital Zurich, Zurich, Switzerland
Department of Radiology, University Hospital Zurich, Zurich, Switzerland
Search for more papers by this authorCorresponding Author
Sebastian Kozerke
Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland
Division of Imaging Sciences and Biomedical Engineering, King's College London, London, UK
Correspondence to: Sebastian Kozerke, Ph.D., Institute for Biomedical Engineering, University and ETH Zurich, Gloriastrasse 35, Zurich 8092, Switzerland. E-mail: [email protected]Search for more papers by this authorAbstract
Purpose
In this study, an iterative k-t principal component analysis (PCA) algorithm with nonrigid frame-to-frame motion correction is proposed for dynamic contrast-enhanced three-dimensional perfusion imaging.
Methods
An iterative k-t PCA algorithm was implemented with regularization using training data corrected for frame-to-frame motion in the x-pc domain. Motion information was extracted using shape-constrained nonrigid image registration of the composite of training and k-t undersampled data. The approach was tested for 10-fold k-t undersampling using computer simulations and in vivo data sets corrupted by respiratory motion artifacts owing to free-breathing or interrupted breath-holds. Results were compared to breath-held reference data.
Results
Motion-corrected k-t PCA image reconstruction resolved residual aliasing. Signal intensity curves extracted from the myocardium were close to those obtained from the breath-held reference. Upslopes were found to be more homogeneous in space when using the k-t PCA approach with motion correction.
Conclusions
Iterative k-t PCA with nonrigid motion correction permits correction of respiratory motion artifacts in three-dimensional first-pass myocardial perfusion imaging. Magn Reson Med 72:68–79, 2014. © 2013 Wiley Periodicals, Inc.
Supporting Information
Additional Supporting Information may be found in the online version of this article.
| Filename | Description |
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| mrm24894-sup-0001-suppmovie.mov1.1 MB | Supplementary Movie 1. |
| mrm24894-sup-0002-suppmovie.mov1.2 MB | Supplementary Movie 2. |
Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.
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