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.

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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

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article

Weighted High-Frequency SpAce GeneraTive ModEl (W-FATE): Application in High-Resolution Single-Shot T 2 Mapping via Multi-Echo-Train Multiple Overlapping-Echo Acquisition

Shuhui Cai, Congbo Cai, Ying Lin, Linyu Fan et al.
IEEE Transactions on Emerging Topics in Computational Intelligence
Seismic Imaging and Inversion Techniques
article

Weighted High-Frequency SpAce GeneraTive ModEl (W-FATE): Application in High-Resolution Single-Shot T 2 Mapping via Multi-Echo-Train Multiple Overlapping-Echo Acquisition

Shuhui Cai, Congbo Cai, Ying Lin, Linyu Fan, Qizhi Yang, Zejun Wu, Ming Ye, Che Wang
article en

Abstract

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.

IEEE Transactions on Emerging Topics in Computational IntelligenceVol. 10(1)
Xiamen University (CN)
National Natural Science Foundation of China, Basic and Applied Basic Research Foundation of Guangdong Province
Openalex Percentile: Top 76%
Seismic Imaging and Inversion Techniques
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