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Preprints, Working Papers, ...

Motion Corrected 3D Liver undersampled MRI

Abstract : The emergence of sparse reconstruction methods for undersampled data in Magnetic Resonance Imaging (MRI), such as Compressed Sensing (CS), have been valuable tools to accelerate data acquisition while preserving accurate image reconstruction. However, sparse reconstruction methods, including CS, are not easy to apply when there is intra-frame motion. Such is the case of free-breathing dynamic MRI in the liver. It is difficult to avoid non-rigid motion artifacts, even more so in volumetric acquisitions. To avoid these kind of artifacts, we propose a new reconstruction technique tailored for dynamic liver imaging by estimating the motion between frames to correct inconsistencies in k-space measurements. In this work, we describe how the proposed method addresses an increase in image efficiency for free-breathing dynamic 3D liver MRI. Our approach produced results that demonstrate it is feasible to achieve a 10x speedup in acquisition time and remove motion artifacts without diminishing image quality. The proposed method produced gains up to 6 dB with respect of traditional CS framework.
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Preprints, Working Papers, ...
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Contributor : Felipe Yanez <>
Submitted on : Thursday, November 6, 2014 - 2:40:07 PM
Last modification on : Monday, June 1, 2015 - 10:47:40 AM
Long-term archiving on: : Saturday, February 7, 2015 - 11:01:33 AM


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  • HAL Id : hal-01080892, version 1


Felipe Yanez, Pablo Irarrazaval. Motion Corrected 3D Liver undersampled MRI. 2014. ⟨hal-01080892v1⟩



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