Cookies on this website

We use cookies to ensure that we give you the best experience on our website. If you click 'Accept all cookies' we'll assume that you are happy to receive all cookies and you won't see this message again. If you click 'Reject all non-essential cookies' only necessary cookies providing core functionality such as security, network management, and accessibility will be enabled. Click 'Find out more' for information on how to change your cookie settings.

PURPOSE: To develop a method for dynamic ∆ B 0 $$ \Delta {B}_0 $$ mapping and distortion correction. METHODS: A blip-rewound EPI trajectory was developed to acquire multiple 2D EPI images in a single readout with an interleaved order, which allows a short TE difference. A joint multi-echo reconstruction was utilized to exploit the shared information between EPI images. The reconstructed images from each readout are combined to produce a final magnitude image. A ∆ B 0 $$ \Delta {B}_0 $$ map is calculated from the phase of these images for distortion correction. The efficacy of the proposed method is assessed with phantom and in vivo experiments. The performance of the proposed method in the presence of subject motion is also investigated. RESULTS: Compared to conventional multi-echo EPI, the proposed method allows dynamic ∆ B 0 $$ \Delta {B}_0 $$ mapping at matched resolution with a much shorter TR. Phantom and in vivo results show that the proposed method can provide a comparable magnitude image as conventional single-shot EPI. The ∆ B 0 $$ \Delta {B}_0 $$ maps calculated from the proposed method are consistent with conventional multi-echo EPI in the phantom experiment. For in vivo experiments, the proposed method provides a more accurate estimation of ∆ B 0 $$ \Delta {B}_0 $$ than conventional multi-echo EPI, which is prone to phase wrapping problems due to the long TE difference. In-vivo scan with subject motion shows the proposed dynamic field mapping method can improve the temporal stability of EPI time series compared to gradient echo (GRE) based static field mapping. CONCLUSION: The proposed method allows accurate dynamic ∆ B 0 $$ \Delta {B}_0 $$ mapping for robust distortion correction without compromising spatial or temporal resolution.

More information Original publication

DOI

10.1002/mrm.30038

Type

Journal article

Publication Date

2024-07-01T00:00:00+00:00

Volume

92

Pages

82 - 97

Total pages

15

Keywords

EPI, distortion correction, dynamic field mapping, fMRI, motion, Humans, Algorithms, Phantoms, Imaging, Echo-Planar Imaging, Artifacts, Reproducibility of Results, Image Enhancement, Image Interpretation, Computer-Assisted, Image Processing, Computer-Assisted, Brain, Sensitivity and Specificity