| Optimization of the SNR-resolution tradeoff for registration of magnetic resonance images. | |
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MedLine Citation:
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PMID: 17957707 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Image registration serves many applications in medical imaging, including longitudinal studies, treatment verification, and more recently, morphometry. Registration processing is regularly applied in magnetic resonance (MR) images, where imaging is highly adaptable in capturing soft tissue contrast. To obtain the greatest registration accuracy in MR imaging, the inherent imaging tradeoff between SNR and resolution at a given scan time should be optimized for computational accuracy, rather than human viewing. We investigated this SNR-resolution tradeoff to optimize registration for digital morphometry. Tradeoff images were simulated from acquired gold standard MR images to emulate a shorter, constant acquisition time, but at the expense of SNR, resolution, or both. The group of images from each tradeoff was nonlinearly registered toward an average atlas producing deformation fields, useful for identifying differences in morphology. The gold standard data were also registered. The deformation fields were used to evaluate registration performance of each tradeoff relative to the gold standard. For fixed scan times, the optimal SNR for registration with MR imaging was found to be approximately 20. Image resolution should be adjusted to produce this target voxel SNR when registration is a central processing task. |
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Authors:
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Shoan C Kale; Jason P Lerch; R Mark Henkelman; X Josette Chen |
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Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't |
Journal Detail:
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Title: Human brain mapping Volume: 29 ISSN: 1097-0193 ISO Abbreviation: Hum Brain Mapp Publication Date: 2008 Oct |
Date Detail:
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Created Date: 2008-09-22 Completed Date: 2008-12-30 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9419065 Medline TA: Hum Brain Mapp Country: United States |
Other Details:
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Languages: eng Pagination: 1147-58 Citation Subset: IM |
Affiliation:
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Mouse Imaging Centre, Hospital for Sick Children, Toronto, Ontario, Canada. skale@phenogenomics.ca |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Animals Brain / anatomy & histology* Female Image Interpretation, Computer-Assisted / methods* Magnetic Resonance Imaging* Male Mice |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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