| On the fluid-tissue contrast behavior of high-resolution steady-state sequences. | |
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MedLine Citation:
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PMID: 22246991 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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In general, MR image contrast is expected to be resolution independent, but a pronounced loss of contrast is observed between fluids and tissues with contemporary musculoskeletal protocols (typical inplane resolution << 1 mm) using nonbalanced steady-state free precession, such as double echo steady state. For nonbalanced steady-state free precession, diffusion sensitivity increases with increasing spoiler moments which increase with decreasing voxel size, suggesting diffusion damping as the major cause for the observed contrast variation. This is confirmed by simulations and measurements indicating that for fluids, diffusion effects become apparent already for resolutions Δx < 1 mm, whereas tissues typically require Δx < 200 μm. Gradient spoiling, however, is generically not minimized but frequently applied along the readout direction. For anisotropic steady-state free precession scans, the loss of contrast between fluids and tissues from diffusion can thus be minimized by simply moving the spoiler gradients to the lowest resolution direction. Magn Reson Med, 2012. © 2012 Wiley Periodicals, Inc. |
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Authors:
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Oliver Bieri; Carl Ganter; Klaus Scheffler |
Publication Detail:
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Type: JOURNAL ARTICLE Date: 2012-1-13 |
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: - ISSN: 1522-2594 ISO Abbreviation: - Publication Date: 2012 Jan |
Date Detail:
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Created Date: 2012-1-16 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 8505245 Medline TA: Magn Reson Med Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
Copyright Information:
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Copyright © 2012 Wiley Periodicals, Inc. |
Affiliation:
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Division of Radiological Physics, Department of Medical Radiology, University of Basel Hospital, Basel, Switzerland. oliver.bieri@unibas.ch. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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