Simultaneous multislice EPI prospective motion correction by real‐time receiver phase correction and coil sensitivity map interpolation
Year: 2023
Type: article
Abstract: PURPOSE: To improve the image reconstruction for prospective motion correction (PMC) of simultaneous multislice (SMS) EPI of the brain, an update of receiver phase and resampling of coil sensitivities are proposed and evaluated. METHODS: A camera-based system was used to track head motion (3 translations and 3 rotations) and dynamically update the scan position and orientation. We derived the change in receiver phase associated with a shifted field of view (FOV) and applied it in real-time to each k-space line of the EPI readout trains. Second, for the SMS reconstruction, we adapted resampled coil sensitivity profiles reflecting the movement of slices. Single-shot gradient-echo SMS-EPI scans were performed in phantoms and human subjects for validation. RESULTS: Brain SMS-EPI scans in the presence of motion with PMC and no phase correction for scan plane shift showed noticeable artifacts. These artifacts were visually and quantitatively attenuated when corrections were enabled. Correcting misaligned coil sensitivity maps improved the temporal SNR (tSNR) of time series by 24% (p = 0.0007) for scans with large movements (up to ˜35 mm and 30°). Correcting the receiver phase improved the tSNR of a scan with minimal head movement by 50% from 50 to 75 for a United Kingdom biobank protocol. CONCLUSION: Reconstruction-induced motion artifacts in single-shot SMS-EPI scans acquired with PMC can be removed by dynamically adjusting the receiver phase of each line across EPI readout trains and updating coil sensitivity profiles during reconstruction. The method may be a valuable tool for SMS-EPI scans in the presence of subject motion.
Source: Magnetic Resonance in Medicine
DOI: 10.1002/mrm.29789
Authors: Bo Li, Ningzhi Li, Ze Wang, Radu Balan, Thomas Ernst
Language: English
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: green
Funders: National Science Foundation, Simons Foundation, Siemens Healthineers, National Institutes of Health, National Science Foundation of Sri Lanka, National Institute on Aging, National Institute on Drug Abuse, National Institute of Biomedical Imaging and Bioengineering, National Center for Advancing Translational Sciences
Awards: G1092444091, RGR-based motion tracking for real-time adaptive MR imaging and spectroscopy, G1420296740, G2859360560, G3575565715, Applied Harmonic Analysis Methods for Non-Convex Optimizations and Low-Rank Matrix Analysis, G518839914, G597765585, G7351831630, Johns Hopkins Institute for Clinical and Translational Research, G8513898904, G9000005353, G9000020365, G9000025887, G9000071792, G9000100070, G9000196209
OpenAlex ID: W4384276979