Premium
Voxel spread function method for correction of magnetic field inhomogeneity effects in quantitative gradient‐echo‐based MRI
Author(s) -
Yablonskiy Dmitriy A.,
Sukstanskii Alexander L.,
Luo Jie,
Wang Xiaoqi
Publication year - 2013
Publication title -
magnetic resonance in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.696
H-Index - 225
eISSN - 1522-2594
pISSN - 0740-3194
DOI - 10.1002/mrm.24585
Subject(s) - voxel , imaging phantom , relaxation (psychology) , transverse plane , nuclear magnetic resonance , magnetic resonance imaging , gradient echo , field (mathematics) , relaxometry , physics , spin echo , magnetic field , echo (communications protocol) , signal (programming language) , computational physics , computer science , optics , mathematics , radiology , artificial intelligence , medicine , quantum mechanics , pure mathematics , programming language , computer network
Purpose Macroscopic magnetic field inhomogeneities adversely affect different aspects of MRI images. In quantitative MRI when the goal is to quantify biological tissue parameters, they bias and often corrupt such measurements. The goal of this article is to develop a method for correction of macroscopic field inhomogeneities that can be applied to a variety of quantitative gradient‐echo‐based MRI techniques. Methods We have reanalyzed a basic theory of gradient echo MRI signal formation in the presence of background field inhomogeneities and derived equations that allow for correction of magnetic field inhomogeneity effects based on the phase and magnitude of gradient echo data. We verified our theory by mapping effective transverse relaxation rate in computer simulated, phantom, and in vivo human data collected with multigradient echo sequences. Results The proposed technique takes into account voxel spread function effects and allowed obtaining virtually free from artifacts effective transverse relaxation rate maps for all simulated, phantom and in vivo data except of the edge areas with very steep field gradients. Conclusion The voxel spread function method, allowing quantification of tissue specific effective transverse relaxation rate‐related tissue properties, has a potential to breed new MRI biomarkers serving as surrogates for tissue biological properties similar to longitudinal and transverse relaxation rate constants widely used in clinical and research MRI. Magn Reson Med 70:1283–1292, 2013. © 2012 Wiley Periodicals, Inc.