Regularized inversion of noisy, incomplete MR spectroscopic imaging data with anatomical prior

This paper addresses the image reconstruction problem in MR spectroscopic imaging experiments where noisy, limited Fourier data are often collected due to temporal constraints. A parametric method is proposed which is capable of incorporating exact and uncertain boundary information. Experimental re...

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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. 718 - 721
Main Authors Haldar, J.P., Jacob, M., Ebel, A., Xiaoping Zhu, Schuff, N., Hernando, D., Sutton, B.P., Zhi-Pei Liang
Format Conference Proceeding Journal Article
LanguageEnglish
Published IEEE 2006
Subjects
Character generation
Chromium
Computed tomography
Gaussian noise
Gold
High-resolution imaging
Image reconstruction
Jacobian matrices
Magnetic resonance imaging
Spectroscopy
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Summary:This paper addresses the image reconstruction problem in MR spectroscopic imaging experiments where noisy, limited Fourier data are often collected due to temporal constraints. A parametric method is proposed which is capable of incorporating exact and uncertain boundary information. Experimental results show that the technique can generate metabolic images with much higher spatial resolution than the conventional Fourier method and existing constrained reconstruction methods
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
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ISBN:078039576X
9780780395763
ISSN:1945-7928
1945-8452
DOI:10.1109/ISBI.2006.1625017