Quantitative Evaluation of Intensity Inhomogeneity Correction Methods for Structural MR Brain Images.

ABSTRACT: The correction of intensity non-uniformity (INU) in magnetic resonance (MR) images is extremely important to ensure both within-subject and across-subject reliability. Here we tackled the problem of objectively comparing INU correction techniques for T1-weighted images, which are the most commonly used in structural brain imaging. We focused our investigations on the methods integrated in widely used software packages for MR data analysis: FreeSurfer, BrainVoyager, SPM and FSL. We used simulated data to assess the INU fields reconstructed by those methods for controlled inhomogeneity magnitudes and noise levels. For each method, we evaluated a wide range of input parameters and defined an enhanced configuration associated with best reconstruction performance. By comparing enhanced and defa

SUBMITTER: Ganzetti M 

PROVIDER: S-EPMC4706843 | biostudies-literature | 2016 Jan

REPOSITORIES: biostudies-literature