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 in | 2006 3rd IEEE International Symposium on Biomedical Imaging--Macro to Nano : Arlington, WA, 6-9 April 2006 Vol. 3; pp. 718 - 721 |
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Main Authors | , , , , , , , |
Format | Conference Proceeding Journal Article |
Language | English |
Published |
IEEE
2006
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Subjects | |
Online Access | Get full text |
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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 |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISBN: | 078039576X 9780780395763 |
ISSN: | 1945-7928 1945-8452 |
DOI: | 10.1109/ISBI.2006.1625017 |