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Distortion-free water-fat separated diffusion-weighted imaging using spatiotemporal joint reconstruction.
Xuetong Zhou1,2, Bruce L Daniel1,2, Brian A Hargreaves1,2,3
1Department of Radiology, Stanford University, Stanford, California, USA.
Magnetic Resonance in Medicine
|July 25, 2024
Summary
This study introduces a new method for distortion-free diffusion-weighted imaging (DWI) using spatiotemporal acquisition and joint reconstruction. The technique effectively separates water and fat, improving artifact reduction in medical imaging.
Area of Science:
- Medical Imaging
- Biophysics
Background:
- Diffusion-weighted imaging (DWI) using Echo Planar Imaging (EPI) is prone to geometric distortions and chemical shift artifacts.
- Residual fat in DWI, even with fat suppression, causes artifacts and confounds diffusion contrast, hindering the differentiation of benign and malignant tissues.
Purpose of the Study:
- To develop a method for acquiring distortion-free diffusion-weighted images.
- To achieve effective water-fat separation in diffusion-weighted imaging.
- To reduce artifacts in DWI caused by B0 and B1 field variations.
Main Methods:
- Employed spatiotemporal acquisition to obtain distortion-free images at various echo times.
- Utilized chemical-shift encoding for water-fat separation.
- Performed joint reconstruction and separation in the spat-spectral domain, incorporating a Fast Spin Echo (FSE)-based phase navigator to correct motion-induced phase variations.
Main Results:
- Acquired distortion-free diffusion-weighted images despite common B0 field inhomogeneities.
- Achieved successful water and fat component separation without significant spectral leakage artifacts.
- Obtained Apparent Diffusion Coefficient (ADC) estimates comparable to multishot DW-EPI.
Conclusions:
- Distortion-free, water-fat separated diffusion-weighted images are achievable in body imaging.
- The proposed method, utilizing spatiotemporal acquisition and joint reconstruction, effectively addresses artifacts in DWI.
- This technique enhances the reliability of DWI for distinguishing tissue characteristics.
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