Motion compensated generalized reconstruction for free-breathing dynamic contrast-enhanced MRI
M. Filipovic
IADI Lab, INSERM-U947, Nancy, France
Nancy-Universite, Nancy, France
Search for more papers by this authorP.-A. Vuissoz
IADI Lab, INSERM-U947, Nancy, France
Nancy-Universite, Nancy, France
Search for more papers by this authorM. Claudon
IADI Lab, INSERM-U947, Nancy, France
University Hospital Nancy, Nancy, France
Search for more papers by this authorCorresponding Author
J. Felblinger
IADI Lab, INSERM-U947, Nancy, France
INSERM-CIT801, Nancy, France
IADI Laboratory, INSERM-U947, Tour Drouet, CHU de Brabois, rue du Morvan, 54511 Vandoeuvre-lès-Nancy, France===Search for more papers by this authorM. Filipovic
IADI Lab, INSERM-U947, Nancy, France
Nancy-Universite, Nancy, France
Search for more papers by this authorP.-A. Vuissoz
IADI Lab, INSERM-U947, Nancy, France
Nancy-Universite, Nancy, France
Search for more papers by this authorM. Claudon
IADI Lab, INSERM-U947, Nancy, France
University Hospital Nancy, Nancy, France
Search for more papers by this authorCorresponding Author
J. Felblinger
IADI Lab, INSERM-U947, Nancy, France
INSERM-CIT801, Nancy, France
IADI Laboratory, INSERM-U947, Tour Drouet, CHU de Brabois, rue du Morvan, 54511 Vandoeuvre-lès-Nancy, France===Search for more papers by this authorAbstract
The analysis of abdominal and thoracic dynamic contrast-enhanced MRI is often impaired by artifacts and misregistration caused by physiological motion. Breath-hold is too short to cover long acquisitions. A novel multipurpose reconstruction technique, entitled dynamic contrast-enhanced generalized reconstruction by inversion of coupled systems, is presented. It performs respiratory motion compensation in terms of both motion artefact correction and registration. It comprises motion modeling and contrast-change modeling. The method feeds on physiological signals and x-f space properties of dynamic series to invert a coupled system of linear equations. The unknowns solved for represent the parameters for a linear nonrigid motion model and the parameters for a linear contrast-change model based on B-splines. Performance is demonstrated on myocardial perfusion imaging, on six simulated data sets and six clinical exams. The main purpose consists in removing motion-induced errors from time–intensity curves, thus improving curve analysis and postprocessing in general. This method alleviates postprocessing difficulties in dynamic contrast-enhanced MRI and opens new possibilities for dynamic contrast-enhanced MRI analysis. Magn Reson Med, 2011. © 2010 Wiley-Liss, Inc.
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