Joint estimation in MRI using harmonic retrieval methods

One of the key factors affecting functional MRI image reconstruction is field inhomogeneity. It is desirable to estimate both the distortion-free MRI image and field map simultaneously, thus compensating for image distortions caused by the field inhomogeneity. To solve this problem, which is called...

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Published in2006 3rd IEEE International Symposium on Biomedical Imaging--Macro to Nano : Arlington, WA, 6-9 April 2006 Vol. 3; pp. 1004 - 1007
Main Authors Nguyen, H.M., Morrison, R.L.Jr, Sutton, B.P., Do, M.N.
Format Conference Proceeding Journal Article
LanguageEnglish
Published IEEE 2006
Subjects
Biomedical imaging
Character generation
Equations
Image reconstruction
Magnetic fields
Magnetic resonance imaging
Nonuniform electric fields
Robustness
Sampling methods
Surgery
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Summary:One of the key factors affecting functional MRI image reconstruction is field inhomogeneity. It is desirable to estimate both the distortion-free MRI image and field map simultaneously, thus compensating for image distortions caused by the field inhomogeneity. To solve this problem, which is called joint estimation problem, we propose a new non-iterative approach using harmonic retrieval (HR) methods. This connection establishes an elegant framework to solve the joint estimation problem through a sequence of one dimensional HR problems in which efficient solutions are available. We also derive the condition on the smoothness of the field map in order for HR techniques to recover the image with high SNR. Experimental results with the proposed method show significant improvements in MRI image reconstruction compared to methods that do not correct for field inhomogeneity
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ISBN:078039576X
9780780395763
ISSN:1945-7928
1945-8452
DOI:10.1109/ISBI.2006.1625090