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Susceptibility Magnetic Resonance Imaging Using Spectral Decomposition
Author(s) -
Ro Yong M.,
Cho ZangHee
Publication year - 1995
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.1910330410
Subject(s) - quantitative susceptibility mapping , nuclear magnetic resonance , pulse sequence , imaging phantom , magnetic resonance imaging , magnetic susceptibility , signal (programming language) , decomposition , phase (matter) , pulse (music) , materials science , chemistry , nuclear medicine , physics , radiology , medicine , optics , computer science , organic chemistry , detector , programming language , crystallography
Susceptibility differences of materials in magnetic resonance imaging (MRI) usually lead to the intravoxel spin phase variations. Subsequently, the phase variation in the voxel results in a reduction of the signal intensity. This signal intensity reduction is known as the susceptibility effect in MRI and has been studied extensively. In this paper, a new spectral decomposition technique is proposed with which the signal change due to the susceptibility effect can be analyzed. Further, an NMR pulse sequence for the spectral decomposition of the susceptibility was developed and applied to susceptibility imaging of venous blood possessing paramagnetic properties. The computer simulations of the spectral decomposition method and their corresponding experimental results obtained using both a phantom and human volunteers are reported.