重影
涡流
扩散
物理
失真(音乐)
核磁共振
扫描仪
磁共振弥散成像
工件(错误)
领域(数学)
计算机科学
光学
人工智能
磁共振成像
数学
放射科
纯数学
放大器
CMOS芯片
热力学
医学
量子力学
光电子学
作者
Gabriel Ramos‐Llordén,Daniel J. Park,John E. Kirsch,Alina Scholz,Boris Keil,Chiara Maffei,Hong‐Hsi Lee,Berkin Bilgic̦,Brian L. Edlow,Choukri Mekkaoui,Anastasia Yendiki,Thomas Witzel,Susie Y. Huang
摘要
Abstract Purpose To investigate whether spatiotemporal magnetic field monitoring can correct pronounced eddy current‐induced artifacts incurred by strong diffusion‐sensitizing gradients up to 300 mT/m used in high b‐value diffusion‐weighted (DW) EPI. Methods A dynamic field camera equipped with 16 1 H NMR field probes was first used to characterize field perturbations caused by residual eddy currents from diffusion gradients waveforms in a 3D multi‐shot EPI sequence on a 3T Connectom scanner for different gradient strengths (up to 300 mT/m), diffusion directions, and shots. The efficacy of dynamic field monitoring‐based image reconstruction was demonstrated on high‐gradient strength, submillimeter resolution whole‐brain ex vivo diffusion MRI. A 3D multi‐shot image reconstruction framework was developed that incorporated the nonlinear phase evolution measured with the dynamic field camera. Results Phase perturbations in the readout induced by residual eddy currents from strong diffusion gradients are highly nonlinear in space and time, vary among diffusion directions, and interfere significantly with the image encoding gradients, changing the k‐space trajectory. During the readout, phase modulations between odd and even EPI echoes become non‐static and diffusion encoding direction‐dependent. Superior reduction of ghosting and geometric distortion was achieved with dynamic field monitoring compared to ghosting reduction approaches such as navigator‐ and structured low‐rank‐based methods or MUSE followed by image‐based distortion correction with the FSL tool “eddy.” Conclusion Strong eddy current artifacts characteristic of high‐gradient strength DW‐EPI can be well corrected with dynamic field monitoring‐based image reconstruction.
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