Slice-direction geometric distortion evaluation and correction with reversed slice-select gradient acquisitions
Year: 2022
Type: article
Abstract: Accurate spatial alignment of MRI data acquired across multiple contrasts in the same subject is often crucial for data analysis and interpretation, but can be challenging in the presence of geometric distortions that differ between acquisitions. It is well known that single-shot echo-planar imaging (EPI) acquisitions suffer from distortion in the phase-encoding direction due to B 0 field inhomogeneities arising from tissue magnetic susceptibility differences and other sources, however there can be distortion in other encoding directions as well in the presence of strong field homogeneities. High-resolution ultrahigh-field MRI typically uses low bandwidth in the slice-encoding direction to acquire thin slices and, when combined with the pronounced B 0 inhomogeneities, is prone to an additional geometric distortion in the slice direction as well. Here we demonstrate a presence of this slice distortion in high-resolution 7T EPI acquired with a novel pulse sequence allowing for the reversal of the slice-encoding gradient polarity that enables the acquisition of pairs of images with equal magnitudes of distortion in the slice direction but with opposing polarities. We also show that the slice-direction distortion can be corrected using gradient reversal-based method applying the same software used for conventional corrections of phase-encoding direction distortion.
Source: NeuroImage
Language: English
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,450
Awards: G1360098495, Relating functional MRI to neuronal activity: accounting for effects of microarchitecture, G1960588227, G226063787, G2302581481, G2483948867, Imaging Archive for Magnetic Resonance Imaging Systems, CRCNS: Computational Modeling of Microvascular Effects in Cortical Laminar fMRI, G393103480, G4958439118, Relating functional MRI to neuronal activity: accounting for effects of microarchitecture, fMRI Technologies for Imaging at the Limit of Biological Spatiotemporal Resolution, Improving Human fMRI through Modeling and Imaging Microvascular Dynamics, G7772742281, Center for Functional Imaging Technologies, Precision Mapping the Human Cerebellum for Neuromodulation and Understanding of Brain Disorders, A Storage Area Network for Structural and Functional Image Analysis, G9000200654, Center for Mesoscale Mapping, Silicon Graphics Prism Extreme 128P/1TB
OpenAlex ID: W4307112247
