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Iterative k-t principal component analysis with nonrigid motion correction for dynamic three-dimensional cardiac perfusion imaging
- Source :
- Magnetic resonance in medicine : official journal of the Society of Magnetic Resonance in Medicine /
- Publication Year :
- 2012
-
Abstract
- 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 2013. © 2013 Wiley Periodicals Inc.
- Subjects :
- Principal Component Analysis
Respiratory-Gated Imaging Techniques
10042 Clinic for Diagnostic and Interventional Radiology
Physics::Medical Physics
Contrast Media
610 Medicine & health
Heart
Magnetic Resonance Imaging
170 Ethics
Motion
Imaging, Three-Dimensional
Computer Science::Computer Vision and Pattern Recognition
10209 Clinic for Cardiology
Image Processing, Computer-Assisted
Respiratory Mechanics
2741 Radiology, Nuclear Medicine and Imaging
Humans
10237 Institute of Biomedical Engineering
Computer Simulation
Artifacts
Algorithms
Subjects
Details
- ISSN :
- 15222594
- Volume :
- 72
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Magnetic resonance in medicine
- Accession number :
- edsair.pmid.dedup....d7be8eb21a0ba45ef42d83c7a3335672