A 3D fast MR elastography sequence with interleaved multislab acquisition and Hadamard encoding.

Autor: Wang R; School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.; Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, China.; National Engineering Research Center of Advanced Magnetic Resonance Technologies for Diagnosis and Therapy, Shanghai Jiao Tong University, Shanghai, China., Chen Y; School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.; Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, China.; National Engineering Research Center of Advanced Magnetic Resonance Technologies for Diagnosis and Therapy, Shanghai Jiao Tong University, Shanghai, China., Yan F; Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai Jiao Tong University, Shanghai, China.; Faculty of Medical Imaging Technology, College of Health Science and Technology, Shanghai Jiao Tong University School of Medicine, Shanghai, China., Yang GZ; School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.; Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, China.; National Engineering Research Center of Advanced Magnetic Resonance Technologies for Diagnosis and Therapy, Shanghai Jiao Tong University, Shanghai, China., Feng Y; School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.; Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, China.; National Engineering Research Center of Advanced Magnetic Resonance Technologies for Diagnosis and Therapy, Shanghai Jiao Tong University, Shanghai, China.; Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Jazyk: angličtina
Zdroj: Magnetic resonance in medicine [Magn Reson Med] 2025 Mar; Vol. 93 (3), pp. 1163-1175. Date of Electronic Publication: 2024 Oct 20.
DOI: 10.1002/mrm.30342
Abstrakt: Purposes: To enhance the functional capability of MRI, this study aims to develop a novel MR elastography (MRE) sequence that achieves rapid acquisition without distortion artifacts.
Methods: A displacement-encoded stimulated echo (DENSE) with multiphase acquisition scheme was used to capture wave images. A center-out golden-angle stack-of-stars sampling pattern was introduced for improved SNR and data incoherence. A combination of Hadamard encoding and interleaved multislab acquisition schemes was used to increase the acquisition efficiency of MRE data with multiple directions and phase offsets. A generalized parallel-imaging and compressed-sensing method was further applied to accelerate the acquisition process. The imaging results of the proposed sequence were compared with those from six gradient echo (GRE)/EPI/DENSE-based MRE sequences via phantom and brain acquisitions.
Results: The proposed sequence achieved a 6-fold acceleration compared with GRE MRE. With the application of a conventional parallel-imaging and compressed-sensing algorithm, the scanning speed was further accelerated by 8-fold, matching the speed of EPI-based MRE. Phantom tests revealed small variances in stiffness measurements across the seven sequences (< 9.23%). The proposed sequence exhibited a higher contrast-to-noise ratio (1.38) than the two EPI-based sequences (0.61/0.76) and similar to GRE-based sequences (1.34/1.22/1.58). Brain imaging validated the effectiveness of the proposed sequence in accurate stiffness estimation and distortion artifact avoidance.
Conclusion: A rapid DENSE-based MRE sequence with interleaved multislab acquisition and Hadamard encoding was developed at a speed matching EPI-based sequences, without compromising SNR or introducing distortion artifacts.
(© 2024 International Society for Magnetic Resonance in Medicine.)
Databáze: MEDLINE
Externí odkaz: