Weighted High-Frequency SpAce GeneraTive ModEl (W-FATE): Application in High-Resolution Single-Shot T <sub>2</sub> Mapping via Multi-Echo-Train Multiple Overlapping-Echo Acquisition
The multiple overlapping-echo detachment (MOLED) imaging technique has shown promise in accelerating T<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> mapping through overlapping echo signal modulation and subsequent deep learning reconstruction. However, in high-resolution single-shot multi-echo-train MOLED (METMOLED), the long readout time causes severe signal attenuation, coupled with the overlap of high-frequency components in k-space, which limits the resultant image quality and hinders its application in high-fidelity imaging. To address these challenges, we propose a novel reconstruction method that delivers precise fringe modulation and implicit information for METMOLED T<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> mapping. This method captures high-frequency details and yields accurate and robust results in simulation, phantom, and in vivo experiments. It may find applications in other quantitative magnetic resonance imaging.
Authors
- Shuhui Cai (ORCID: https://orcid.org/0000-0003-2767-9490)
- Congbo Cai (ORCID: https://orcid.org/0000-0002-0600-8594)
- Ying Lin (ORCID: https://orcid.org/0000-0002-2270-272X)
- Linyu Fan (ORCID: https://orcid.org/0009-0003-3209-1496)
- Qizhi Yang (ORCID: https://orcid.org/0000-0003-2808-9273)
- Zejun Wu (ORCID: https://orcid.org/0000-0001-7864-9297)
- Ming Ye (ORCID: https://orcid.org/0000-0002-7080-0578)
- Che Wang (ORCID: https://orcid.org/0000-0003-0245-4420)
Institutions
- Xiamen University (CN)
Publication Details
- Journal
- IEEE Transactions on Emerging Topics in Computational Intelligence
- Published
- 2025-09-04
- DOI
- https://doi.org/10.1109/tetci.2025.3602075
- Primary Topic
- Seismic Imaging and Inversion Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Basic and Applied Basic Research Foundation of Guangdong Province