| Quantitative MR susceptibility mapping using piece-wise constant regularized inversion of the magnetic field. | |
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MedLine Citation:
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PMID: 18816834 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Magnetic properties characterized by susceptibility and chemical shift linearly modify the local magnetic field experienced by spins. A piece-wise constant solution using magnetic resonance imaging is found to the challenging inversion problem from field to magnetic properties. The magnetic field shifts were estimated from MR phase images. The MR magnitude images were segmented into many regions of uniform magnetic properties. Standard linear regression using the calculated magnetic field from each region allowed accurate susceptibility quantification. The technique was experimentally validated on a variety of samples including water, vegetable oil, air, Gadolinium, and superparamagnetic iron oxides. Susceptibility was measured with a precision better than 0.1 ppm, in a range of 10 ppm. In vivo feasibility was shown on the forearm for which soft-tissue, cortical bone, and bone marrow susceptibility, and chemical shift values in good agreement with literature data were obtained. |
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Authors:
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Ludovic de Rochefort; Ryan Brown; Martin R Prince; Yi Wang |
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Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: Magnetic resonance in medicine : official journal of the Society of Magnetic Resonance in Medicine / Society of Magnetic Resonance in Medicine Volume: 60 ISSN: 1522-2594 ISO Abbreviation: Magn Reson Med Publication Date: 2008 Oct |
Date Detail:
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Created Date: 2008-10-01 Completed Date: 2009-01-23 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 8505245 Medline TA: Magn Reson Med Country: United States |
Other Details:
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Languages: eng Pagination: 1003-9 Citation Subset: IM |
Copyright Information:
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(c) 2008 Wiley-Liss, Inc. |
Affiliation:
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Cornell Cardiovascular Magnetic Resonance Imaging Laboratory, Radiology Department, Weill Medical College of Cornell University, New York, New York, USA.. |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Algorithms* Computer Simulation Electromagnetic Fields Magnetic Resonance Spectroscopy / methods* Models, Chemical* Reproducibility of Results Sensitivity and Specificity |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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