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Diffusion MRI Using Two-dimensional Single-shot Radial Imaging (2D Ss-rDWI) with Variable Flip Angle and Random View Ordering

Overview
Publisher Elsevier
Specialty Radiology
Date 2019 Apr 23
PMID 31009689
Citations 1
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Abstract

Purpose: The main objective of this study is to develop a 2D single-shot radial-DWI (2D ss-rDWI) technique to reduce motion artifacts and geometric distortion in DW images.

Method: A diffusion-preparation module is developed and applied prior to the data acquisition. Because the diffusion-prepared longitudinal magnetization is measured over multiple RF excitations in each shot, 2D ss-rDWI is subject to low signal-to-noise ratio (SNR). We used variable-flip angle (VFA), random view ordering (RVO), and sliding spokes, and compared the performances to constant flip angle (CFA), smooth view ordering (SVO), and identical spoke averaging, respectively. For each technique, we performed numerical simulation and MRI experiments on a fluid phantom as well as in-vivo human brain studies with a 3 T MRI system.

Results: Using VFA, optimal SNR was acquired for 2D ss-rDWI. Using SVO, the high signal is clustered at specific quadrant in 2D k-space: the first quadrant using high initial flip angle or the last quadrant using the low flip angle. This clustered signal in k-space led to geometric distortion in image space. 2D ss-rDWI using RVO spreads the high signaled spokes over all angular directions and removes the view-order-related distortion. The in-vivo images using 2D ss-rDWI with VFA and RVO show no geometric distortion at the skull base brain, but greatly reduced SNR compared with those using 2D ss-DWEPI.

Conclusion: 2D ss-rDWI is optimized by using VFA with RVO. The resultant DWI using 2D ss-rDWI is insensitive to motion-induced artifacts and geometric distortion. Even with low SNR, it may be useful for DWI of organs limited by severe susceptibility-induced geometric distortion.

Citing Articles

Bosniak classification of cystic renal masses, version 2019: Is it helpful to incorporate the diffusion weighted imaging characteristic of lesions into the guideline?.

Li A, Li S, Hu Y, Shen Y, Hu X, Hu D Front Oncol. 2022; 12:1004690.

PMID: 36330478 PMC: 9623058. DOI: 10.3389/fonc.2022.1004690.

References
1.
Turner R, Le Bihan D, Maier J, Vavrek R, Hedges L, Pekar J . Echo-planar imaging of intravoxel incoherent motion. Radiology. 1990; 177(2):407-14. DOI: 10.1148/radiology.177.2.2217777. View

2.
Jackson J, Meyer C, Nishimura D, Macovski A . Selection of a convolution function for Fourier inversion using gridding [computerised tomography application]. IEEE Trans Med Imaging. 1991; 10(3):473-8. DOI: 10.1109/42.97598. View

3.
Nielles-Vallespin S, Weber M, Bock M, Bongers A, Speier P, Combs S . 3D radial projection technique with ultrashort echo times for sodium MRI: clinical applications in human brain and skeletal muscle. Magn Reson Med. 2006; 57(1):74-81. DOI: 10.1002/mrm.21104. View

4.
Li T, Kim D, Moseley M . High-resolution diffusion-weighted imaging with interleaved variable-density spiral acquisitions. J Magn Reson Imaging. 2005; 21(4):468-75. DOI: 10.1002/jmri.20287. View

5.
Jeong E, Kim S, Kholmovski E, Parker D . High-resolution DTI of a localized volume using 3D single-shot diffusion-weighted STimulated echo-planar imaging (3D ss-DWSTEPI). Magn Reson Med. 2006; 56(6):1173-81. DOI: 10.1002/mrm.21088. View