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Free-breathing image acquisition is desirable in first-pass gadolinium-enhanced magnetic resonance imaging (MRI), but the breathing movements hinder the direct automatic analysis of the myocardial perfusion and qualitative readout by visual tracking. Nonrigid registration can be used to compensate for these movements but needs to deal with local contrast and intensity changes with time. We propose...
Breathing movements during the image acquisition of first-pass gadolinium enhanced, magnetic resonance imaging (MRI) hinder a direct automatic analysis of the myocardial perfusion. In addition, a qualitative readout by visual tracking is also more difficult as well. Non-rigid registration can be used to compensate for these movements in the image series. Because of the local contrast and intensity...
The importance of the reliable assessment of the renal perfusion and filtration lies in its impact on the evaluation of the kidney function. However, these dynamic measures are challenging as they have to overcome the movement of the organ of interest due to the respiration and the pulsations of the patient throughout the acquisition. In this paper we propose an efficient registration algorithm for...
The objective of this work is to compare the results obtained from the motion analysis of tagged vs. CINE MR sequences when using spatio-temporal non-rigid registration techniques based on pixel intensity. Those techniques have been previously validated on tagged MR images. Moreover, registration algorithms have been applied to MR CINE sequences to obtain radial displacement and strain parameters...
Many different techniques have been proposed to compute motion fields on Tagged MR imaging. However, most of them require tags segmentation or endo- epicardial contours segmentation. Automatic estimation of the myocardial motion field was extracted using a consecutive non-rigid registration algorithm based on a semilocal Bspline parametric model. The sequence was also represented in the Bspline space...
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