ADEPT: Accurate Diffusion Echo-Planar imaging with multi-contrast shoTs

被引:3
作者
Shafieizargar, Banafshe [1 ,2 ]
Jeurissen, Ben [1 ,2 ]
Poot, Dirk H. J. [3 ]
Klein, Stefan [3 ]
Van Audekerke, Johan [2 ,4 ]
Verhoye, Marleen [2 ,4 ]
den Dekker, Arnold J. [1 ,2 ]
Sijbers, Jan [1 ,2 ]
机构
[1] Univ Antwerp, Dept Phys, Iimec Vis Lab, Univ Pl 1,DN 103, B-2610 Antwerp, Belgium
[2] Univ Antwerp, NEURO Res Ctr Excellence, Antwerp, Belgium
[3] Erasmus MC, Dept Radiol & Nucl Med, Biomed Imaging Grp Rotterdam, Rotterdam, Netherlands
[4] Univ Antwerp, Dept Biomed Sci, Bioimaging Lab, Antwerp, Belgium
基金
欧盟地平线“2020”;
关键词
diffusion MRI; model-based reconstruction; multi-shot EPI; phase correction; QMRI; MODEL-BASED RECONSTRUCTION; RICIAN DISTRIBUTION; WEIGHTED-MRI; RESOLUTION; MOTION; CONVERGENCE; ARTIFACTS; SENSE; EPI;
D O I
10.1002/mrm.29398
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Purpose To introduce a novel imaging and parameter estimation framework for accurate multi-shot diffusion MRI. Theory and Methods We propose a new framework called ADEPT (Accurate Diffusion Echo-Planar imaging with multi-contrast shoTs) that enables fast diffusion MRI by allowing diffusion contrast settings to change between shots in a multi-shot EPI acquisition (i.e., intra-scan modulation). The framework estimates diffusion parameter maps directly from the acquired intra-scan modulated k-space data, while simultaneously accounting for shot-to-shot phase inconsistencies. The performance of the estimation framework is evaluated using Monte Carlo simulation studies and in-vivo experiments and compared to that of reference methods that rely on parallel imaging for shot-to-shot phase correction. Results Simulation and real-data experiments show that ADEPT yields more accurate and more precise estimates of the diffusion metrics in multi-shot EPI data in comparison with the reference methods. Conclusion ADEPT allows fast multi-shot EPI diffusion MRI without significantly degrading the accuracy and precision of the estimated diffusion maps.
引用
收藏
页码:396 / 410
页数:15
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