Free-Breathing Liver Fat, $R_2^*$ and $B_0$ Field Mapping Using Multi-Echo Radial FLASH and Regularized Model-based Reconstruction
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| Main Authors: | , , , , , , , , |
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| Format: | Preprint |
| Published: |
2021
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| _version_ | 1866914682115194880 |
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| author | Tan, Zhengguo Unterberg-Buchwald, Christina Blumenthal, Moritz Scholand, Nick Schaten, Philip Holme, Christian Wang, Xiaoqing Raddatz, Dirk Uecker, Martin |
| author_facet | Tan, Zhengguo Unterberg-Buchwald, Christina Blumenthal, Moritz Scholand, Nick Schaten, Philip Holme, Christian Wang, Xiaoqing Raddatz, Dirk Uecker, Martin |
| contents | This work introduced a stack-of-radial multi-echo asymmetric-echo MRI sequence for free-breathing liver volumetric acquisition. Regularized model-based reconstruction was implemented in Berkeley Advanced Reconstruction Toolbox (BART) to jointly estimate all physical parameter maps (water, fat, R2*, and B0 field inhomogeneity maps) and coil sensitivity maps from self-gated k-space data. Specifically, locally low rank and temporal total variation regularization were employed directly on physical parameter maps. The proposed free-breathing radial technique was tested on a water/fat & iron phantom, a young volunteer, and obesity/diabetes/hepatic steatosis patients. Quantitative fat fraction and R2* accuracy were confirmed by comparing our technique with the reference breath-hold Cartesian scan. The multi-echo radial sampling sequence achieves fast k-space coverage and is robust to motion. Moreover, the proposed motion-resolved model-based reconstruction allows for free-breathing liver fat and R2* quantification in multiple motion states. Overall, our proposed technique offers a convenient tool for non-invasive liver assessment with no breath holding requirement. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2101_02788 |
| institution | arXiv |
| publishDate | 2021 |
| record_format | arxiv |
| spellingShingle | Free-Breathing Liver Fat, $R_2^*$ and $B_0$ Field Mapping Using Multi-Echo Radial FLASH and Regularized Model-based Reconstruction Tan, Zhengguo Unterberg-Buchwald, Christina Blumenthal, Moritz Scholand, Nick Schaten, Philip Holme, Christian Wang, Xiaoqing Raddatz, Dirk Uecker, Martin Medical Physics Image and Video Processing Optimization and Control This work introduced a stack-of-radial multi-echo asymmetric-echo MRI sequence for free-breathing liver volumetric acquisition. Regularized model-based reconstruction was implemented in Berkeley Advanced Reconstruction Toolbox (BART) to jointly estimate all physical parameter maps (water, fat, R2*, and B0 field inhomogeneity maps) and coil sensitivity maps from self-gated k-space data. Specifically, locally low rank and temporal total variation regularization were employed directly on physical parameter maps. The proposed free-breathing radial technique was tested on a water/fat & iron phantom, a young volunteer, and obesity/diabetes/hepatic steatosis patients. Quantitative fat fraction and R2* accuracy were confirmed by comparing our technique with the reference breath-hold Cartesian scan. The multi-echo radial sampling sequence achieves fast k-space coverage and is robust to motion. Moreover, the proposed motion-resolved model-based reconstruction allows for free-breathing liver fat and R2* quantification in multiple motion states. Overall, our proposed technique offers a convenient tool for non-invasive liver assessment with no breath holding requirement. |
| title | Free-Breathing Liver Fat, $R_2^*$ and $B_0$ Field Mapping Using Multi-Echo Radial FLASH and Regularized Model-based Reconstruction |
| topic | Medical Physics Image and Video Processing Optimization and Control |
| url | https://arxiv.org/abs/2101.02788 |