Cartesian MaxGIRF: Model-based EPI reconstruction incorporating gradient nonlinearity and concomitant field effects.

IF 3 3区 医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Nam G Lee, Sophia X Cui, Krishna S Nayak
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引用次数: 0

Abstract

Purpose: Lower field strength scanners with large bore size or complex geometries, and scanners with stronger gradient systems experience increased gradient nonlinearity and concomitant fields, each of which causes distortions in EPI. Current correction approaches based on image-domain interpolation introduce undesirable spatial blurring. To avoid spatial blurring, we introduce a model-based EPI reconstruction framework, denoted Cartesian MaxGIRF ("Max"well field correction using "GIRF"-predicted gradients), that simultaneously compensates the effects of concomitant fields, gradient nonlinearity, and off-resonance during image reconstruction.

Theory and methods: Performance of the proposed framework was compared against standard correction methods using phantom datasets at 0.55T: (1) 2D spin-echo EPI (SE-EPI) with reversed phase-encoding directions and (2) accelerated 2D SE-EPI with partial Fourier. Two unique EPI image artifacts induced by concomitant fields ("parabolic shift" and "slice-dependent Nyquist ghost") were demonstrated and mitigated by the proposed framework using long-ETL 3D GRE-EPI and high-resolution 3D GRE-EPI, respectively. Resolution improvements and artifact mitigations by the proposed framework were demonstrated using in-vivo human brain datasets: (1) accelerated 2D diffusion-weighted SE-EPI and (2) high-resolution 3D GRE-EPI at 0.55T.

Results: The amount of the parabolic shift for each imaging case was theoretically analyzed. The proposed framework demonstrated the mitigation of both parabolic shifts and slice-dependent Nyquist ghosts and retained better image details than standard correction methods when mitigating geometric distortions for all scenarios.

Conclusion: The Cartesian MaxGIRF framework simultaneously mitigates the effects of concomitant fields, gradient nonlinearity, and static off-resonance. This approach is particularly useful to mitigate artifacts induced by second-order concomitant fields present in both symmetric and asymmetric gradient systems.

笛卡尔MaxGIRF:考虑梯度非线性和伴随场效应的基于模型的EPI重建。
目的:具有大口径或复杂几何形状的低场强扫描仪,以及具有较强梯度系统的扫描仪会增加梯度非线性和伴随场,每种都会导致EPI扭曲。目前基于图像域插值的校正方法引入了不理想的空间模糊。为了避免空间模糊,我们引入了一个基于模型的EPI重建框架,称为笛卡尔MaxGIRF(使用“GIRF”预测梯度进行“最大”井场校正),该框架同时补偿了图像重建过程中伴随场、梯度非线性和非共振的影响。理论和方法:将所提出的框架的性能与使用0.55T的幻像数据集的标准校正方法进行比较:(1)反向相位编码方向的2D自旋回波EPI (SE-EPI)和(2)部分傅立叶加速的2D SE-EPI。该框架分别使用长etl 3D grei -EPI和高分辨率3D grei -EPI证明并缓解了伴随场引起的两种独特的EPI图像伪影(“抛物线偏移”和“依赖于片的奈奎斯特鬼影”)。使用活体人脑数据集证明了该框架的分辨率改进和伪影缓解:(1)加速的2D弥散加权SE-EPI和(2)0.55T的高分辨率3D GRE-EPI。结果:从理论上分析了各成像病例的抛物线位移量。所提出的框架证明了对抛物线位移和片相关奈奎斯特鬼影的缓解,并且在减轻所有场景的几何畸变时,比标准校正方法保留了更好的图像细节。结论:笛卡尔MaxGIRF框架同时减轻了伴随场、梯度非线性和静态非共振的影响。这种方法对于缓解对称和非对称梯度系统中二阶伴随场引起的伪影特别有用。
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来源期刊
CiteScore
6.70
自引率
24.20%
发文量
376
审稿时长
2-4 weeks
期刊介绍: Magnetic Resonance in Medicine (Magn Reson Med) is an international journal devoted to the publication of original investigations concerned with all aspects of the development and use of nuclear magnetic resonance and electron paramagnetic resonance techniques for medical applications. Reports of original investigations in the areas of mathematics, computing, engineering, physics, biophysics, chemistry, biochemistry, and physiology directly relevant to magnetic resonance will be accepted, as well as methodology-oriented clinical studies.
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