| Semiautomatic off-resonance correction in spiral imaging. | |
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MedLine Citation:
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PMID: 18429033 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Spiral scanning is a promising MRI method, but one limitation is that off-resonance effects can cause image blurring. Most current off-resonance correction methods for spiral imaging require an accurate field map, which is difficult to obtain in many applications. Automatic methods can perform off-resonance correction without acquiring a field map. However, these methods are computationally inefficient and relatively prone to estimation error. This study describes a new semiautomatic off-resonance correction method that combines an automatic method with a low resolution field map acquisition for off-resonance correction in spiral scanning. Experiments demonstrate that this method is more robust than conventional automatic off-resonance correction and can provide more accurate off-resonance correction than conventional field map based methods. The proposed method is also computationally efficient and has been implemented for online reconstruction. |
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Authors:
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Weitian Chen; Craig H Meyer |
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Publication Detail:
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Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't |
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: 59 ISSN: 0740-3194 ISO Abbreviation: Magn Reson Med Publication Date: 2008 May |
Date Detail:
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Created Date: 2008-04-28 Completed Date: 2008-08-05 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: 1212-9 Citation Subset: IM |
Copyright Information:
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(c) 2008 Wiley-Liss, Inc. |
Affiliation:
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Department of Biomedical Engineering, University of Virginia, Charlottesville, VA 22908, USA. |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Algorithms Artifacts Coronary Vessels / anatomy & histology Head* Humans Image Processing, Computer-Assisted / methods* Magnetic Resonance Imaging* Phantoms, Imaging Software |
| Grant Support | |
ID/Acronym/Agency:
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R01 HL 079110/HL/NHLBI NIH HHS |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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