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 multi-gradient 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.
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 multi-gradient 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.
Authors: David A Rudko; L Martyn Klassen; Sonali N de Chickera; Joseph S Gati; Gregory A Dekaban; Ravi S Menon Journal: Proc Natl Acad Sci U S A Date: 2013-12-27 Impact factor: 11.205
Authors: Pelin Aksit Ciris; Mukund Balasubramanian; Ravi T Seethamraju; Junichi Tokuda; Jonathan Scalera; Tobias Penzkofer; Fiona M Fennessy; Clare M Tempany-Afdhal; Kemal Tuncali; Robert V Mulkern Journal: NMR Biomed Date: 2016-05-31 Impact factor: 4.044
Authors: Yue Zhao; Marcus E Raichle; Jie Wen; Tammie L Benzinger; Anne M Fagan; Jason Hassenstab; Andrei G Vlassenko; Jie Luo; Nigel J Cairns; Jon J Christensen; John C Morris; Dmitriy A Yablonskiy Journal: Neuroimage Date: 2016-12-15 Impact factor: 6.556