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  Aggregated motion estimation for image reconstruction in real-time MRI.

Li, H., Haltmeier, M., Zhang, S., Frahm, J., & Munk, A. (2014). Aggregated motion estimation for image reconstruction in real-time MRI. Magnetic Resonance in Medicine, 72(4), 1039-1048. doi:10.1002/mrm.25020.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0011-A0D0-A Version Permalink: http://hdl.handle.net/11858/00-001M-0000-0029-C41F-6
Genre: Journal Article

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 Creators:
Li, H.1, Author              
Haltmeier, M.1, Author              
Zhang, S.2, Author              
Frahm, J.2, Author              
Munk, A.1, Author              
Affiliations:
1Research Group of Statistical Inverse-Problems in Biophysics, MPI for biophysical chemistry, Max Planck Society, ou_1113580              
2Biomedical NMR Research GmbH, MPI for biophysical chemistry, Max Planck Society, ou_578634              

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Free keywords: inverse problems; motion estimation; aggregated imaging; nonlinear inversion; real-time MRI; parallel imaging
 Abstract: Purpose: In real-time MRI serial images are generally reconstructed from highly undersampled datasets as the iterative solutions of an inverse problem. While practical realizations based on regularized nonlinear inversion (NLINV) have hitherto been surprisingly successful, strong assumptions about the continuity of image features may affect the temporal fidelity of the estimated reconstructions. Theory and Methods: The proposed method for real-time image reconstruction integrates the deformations between nearby frames into the data consistency term of the inverse problem. The aggregated motion estimation (AME) is not required to be affine or rigid and does not need additional measurements. Moreover, it handles multi-channel MRI data by simultaneously determining the image and its coil sensitivity profiles in a nonlinear formulation which also adapts to non-Cartesian (e.g., radial) sampling schemes. The new method was evaluated for real-time MRI studies using highly undersampled radial gradient-echo sequences. Results: AME reconstructions for a motion phantom with controlled speed as well as for measurements of human heart and tongue movements demonstrate improved temporal fidelity and reduced residual undersampling artifacts when compared with NLINV reconstructions without motion estimation. Conclusion: Nonlinear inverse reconstructions with aggregated motion estimation offer improved image quality and temporal acuity for visualizing rapid dynamic processes by real-time MRI.

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Language(s): eng - English
 Dates: 2013-11-182014-10
 Publication Status: Published in print
 Pages: 10
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Identifiers: DOI: 10.1002/mrm.25020
 Degree: -

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Title: Magnetic Resonance in Medicine
Source Genre: Journal
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Pages: - Volume / Issue: 72 (4) Sequence Number: - Start / End Page: 1039 - 1048 Identifier: ISSN: 0740-3194