Fast T2 Mapping With Improved Accuracy Using Undersampled Spin-Echo MRI and Model-Based Reconstructions With a Generating Function

2014 | journal article; research paper. A publication with affiliation to the University of Göttingen.

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​Sumpf, Tilman J., Andreas Petrovic, Martin Uecker, Florian Knoll, and Jens Frahm. "Fast T2 Mapping With Improved Accuracy Using Undersampled Spin-Echo MRI and Model-Based Reconstructions With a Generating Function​." ​IEEE Transactions on Medical Imaging ​33, no. 12 (2014): ​2213​-2222​. ​https://doi.org/10.1109/TMI.2014.2333370.

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Authors
Sumpf, Tilman J.; Petrovic, Andreas; Uecker, Martin ; Knoll, Florian; Frahm, Jens 
Abstract
A model-based reconstruction technique for accelerated T2 mapping with improved accuracy is proposed using under-sampled Cartesian spin-echo magnetic resonance imaging (MRI) data. The technique employs an advanced signal model for T2 relaxation that accounts for contributions from indirect echoes in a train of multiple spin echoes. An iterative solution of the nonlinear inverse reconstruction problem directly estimates spin-density and T2 maps from undersampled raw data. The algorithm is validated for simulated data as well as phantom and human brain MRI at 3T. The performance of the advanced model is compared to conventional pixel-based fitting of echo-time images from fully sampled data. The proposed method yields more accurate T2 values than the mono-exponential model and allows for retrospective under-sampling factors of at least 6. Although limitations are observed for very long T2 relaxation times, respective reconstruction problems may be overcome by a gradient dampening approach. The analytical gradient of the utilized cost function is included as Appendix. The source code is made available to the community.
Issue Date
2014
Publisher
Ieee-inst Electrical Electronics Engineers Inc
Journal
IEEE Transactions on Medical Imaging 
ISSN
0278-0062
eISSN
1558-254X

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