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rdf:type |
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lifeskim:mentions |
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pubmed:issue |
Pt 2
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pubmed:dateCreated |
2010-4-29
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pubmed:abstractText |
We describe a method for atlas-based segmentation of structural MRI for calculation of magnetic fieldmaps. CT data sets are used to construct a probabilistic atlas of the head and corresponding MR is used to train a classifier that segments soft tissue, air, and bone. Subject-specific fieldmaps are computed from the segmentations using a perturbation field model. Previous work has shown that distortion in echo-planar images can be corrected using predicted fieldmaps. We obtain results that agree well with acquired fieldmaps: 90% of voxel shifts from predicted fieldmaps show subvoxel disagreement with those computed from acquired fieldmaps. In addition, our fieldmap predictions show statistically significant improvement following inclusion of the atlas.
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pubmed:grant |
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pubmed:commentsCorrections |
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pubmed:language |
eng
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pubmed:journal |
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pubmed:citationSubset |
IM
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pubmed:status |
MEDLINE
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pubmed:author |
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pubmed:volume |
12
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
951-9
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pubmed:dateRevised |
2011-2-1
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pubmed:meshHeading |
pubmed-meshheading:20426203-Algorithms,
pubmed-meshheading:20426203-Artifacts,
pubmed-meshheading:20426203-Brain,
pubmed-meshheading:20426203-Electron Spin Resonance Spectroscopy,
pubmed-meshheading:20426203-Humans,
pubmed-meshheading:20426203-Image Enhancement,
pubmed-meshheading:20426203-Image Interpretation, Computer-Assisted,
pubmed-meshheading:20426203-Pattern Recognition, Automated,
pubmed-meshheading:20426203-Reproducibility of Results,
pubmed-meshheading:20426203-Sensitivity and Specificity,
pubmed-meshheading:20426203-Subtraction Technique
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pubmed:year |
2009
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pubmed:articleTitle |
Atlas-based improved prediction of magnetic field inhomogeneity for distortion correction of EPI data.
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pubmed:affiliation |
Computer Science and Artificial Intelligence Lab, MIT, USA.
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pubmed:publicationType |
Journal Article,
Research Support, Non-U.S. Gov't,
Research Support, N.I.H., Extramural
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