Anatomy-Guided Inverse-Gradient Susceptibility Artifact Correction Method for High-Resolution FMRI

Authors

Soan Duong, University of WollongongFollow
Mark M. Schira, University of WollongongFollow
Son Lam Phung, University of WollongongFollow
Abdesselam Bouzerdoum, University of WollongongFollow
Harriet G. Taylor, University of WollongongFollow

RIS ID

130858

Publication Details

S. T.M. Duong, M. M. Schira, S. L. Phung, A. Bouzerdoum & H. G.B. Taylor, "Anatomy-Guided Inverse-Gradient Susceptibility Artifact Correction Method for High-Resolution FMRI," in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP): Proceedings, 2018, pp. 786-790.

Abstract

Functional Magnetic Resonance Imaging (fMRI) is a widely used and non-invasive technique for recording changes in brain activity. However, susceptibility artifacts are ubiquitous distortions in fMRI, especially strong in high-resolution images, causing the misrepresentation of brain function and structure in the affected regions. Here, we present a novel method for correcting these distortions in high-resolution fMRI images based on the hyper-elastic susceptibility artifact correction (HySCO) method. The novelty of the proposed method is the utilization of the easily-acquired T1-weighted ({T}{1w}) anatomy image as a ground-truth measurement to regularize deformations, thereby obtaining meaningful corrections. The performance of the new method is compared to that of HySCO. Results from high-resolution (1mm) EPI data are presented demonstrating the robustness of the new method for image correction and its suitability for subsequent fMRI analysis.

Grant Number

ARC/DP140101833