| Dynamic magnetic resonance inverse imaging of human brain function. | |
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MedLine Citation:
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PMID: 16964616 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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MRI is widely used for noninvasive hemodynamic-based functional brain imaging. In traditional spatial encoding, however, gradient switching limits the temporal resolution, which makes it difficult to unambiguously identify possible fast nonhemodynamic changes. In this paper we propose a novel reconstruction approach, called dynamic inverse imaging (InI), that is capable of providing millisecond temporal resolution when highly parallel detection is used. To achieve an order-of-magnitude speedup in generating time-resolved contrast estimates and dynamic statistical parametric maps (dSPMs), the spatial information is derived from an array of detectors rather than by time-consuming gradient-encoding methods. The InI approach was inspired by electroencephalography (EEG) and magnetoencephalography (MEG) source localization techniques. Dynamic MR InI was evaluated by means of numerical simulations. InI was also applied to measure BOLD hemodynamic time curves at 20-ms temporal resolution in a visual stimulation experiment using a 90-channel head array. InI is expected to improve the time resolution of MRI and provide increased flexibility in the trade-off between spatial and temporal resolution for studies of dynamic activation patterns in the human brain. |
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Authors:
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Fa-Hsuan Lin; Lawrence L Wald; Seppo P Ahlfors; Matti S Hämäläinen; Kenneth K Kwong; John W Belliveau |
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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: 56 ISSN: 0740-3194 ISO Abbreviation: Magn Reson Med Publication Date: 2006 Oct |
Date Detail:
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Created Date: 2006-09-27 Completed Date: 2007-01-19 Revised Date: 2007-12-03 |
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: 787-802 Citation Subset: IM |
Affiliation:
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Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts 02129, USA. fhlin@nmr.mgh.harvard.edu |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Brain Mapping
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methods* Computer Simulation Electroencephalography Humans Image Enhancement / methods* Image Processing, Computer-Assisted / methods* Magnetic Resonance Imaging / methods* Magnetoencephalography |
| Grant Support | |
ID/Acronym/Agency:
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P41 RR14075/RR/NCRR NIH HHS; R01 EB00079004/EB/NIBIB NIH HHS; R01 HD040712/HD/NICHD NIH HHS; R01 NS037462/NS/NINDS NIH HHS |
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