Rapid, High-resolution and Distortion-free $R_{2}^{*}$ Mapping of Fetal Brain using Multi-echo Radial FLASH and Model-based Reconstruction
Xiaoqing Wang, Hongli Fan, Zhengguo Tan, Serge Vasylechko, Edward Yang, Ryne Didier, Onur Afacan, Martin Uecker, Simon K. Warfield, Ali Gholipour

TL;DR
This paper introduces a rapid, high-resolution, distortion-free method for fetal brain $R_{2}^{*}$ mapping at 3T using multi-echo radial FLASH and model-based reconstruction, enabling detailed imaging during maternal free breathing.
Contribution
It presents a novel calibrationless, model-based reconstruction technique that jointly estimates water, fat, $R_{2}^{*}$, and $B_{0}$ maps from k-space data, improving fetal brain imaging.
Findings
Accurate $R_{2}^{*}$ values validated against reference methods.
Higher resolution and reduced distortion compared to multi-echo EPI.
Reproducible $R_{2}^{*}$ measurements across repeated scans.
Abstract
Purpose: To develop a rapid, high-resolution and distortion-free technique for simultaneous water-fat separation, and mapping of the fetal brain at 3T. Methods: A 2D multi-echo radial FLASH sequence with blip gradients is adapted for data acquisition during maternal free breathing. A calibrationless model-based reconstruction with sparsity constraints is developed to jointly estimate water, fat, and field maps directly from k-space. This approach was validated and compared to reference methods using numerical and NIST phantoms and data from nine fetuses between 26 and 36 weeks of gestation age. Results: Both numerical and experimental phantom studies confirm good accuracy and precision. In fetal studies, model-based reconstruction yields quantitative values in close agreement with those from a parallel imaging compressed sensing…
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