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About:
Statistical Methods for Processing Neuroimaging Data from Two Different Sites with a Down Syndrome Population Application
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research paper
schema:ScholarlyArticle
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type
Academic Article
research paper
schema:ScholarlyArticle
isDefinedBy
Covid-on-the-Web dataset
has title
Statistical Methods for Processing Neuroimaging Data from Two Different Sites with a Down Syndrome Population Application
Creator
Muschelli, John
Christian, Bradley
Cohen, Ann
Crainiceanu, Ciprian
Handen, Benjamin
Johnson, Sterling
Klunk, William
Laymon, Charles
Mathis, Chester
Mettenburg, Joseph
Minhas, Davneet
Tudorascu, Dana
Yang, Zixi
Zammit, Matthew
Source
PMC
abstract
Harmonization of magnetic resonance imaging (MRI) and positron emission tomography (PET) scans from multi-scanner and multi-site studies presents a challenging problem. We applied the Removal of Artificial Voxel Effect by Linear regression (RAVEL) method to normalize T1-MRI intensities collected on two different scanners across two different sites as part of the Neurodegeneration in Aging Down syndrome (NiAD) study. The effects on FreeSurfer regional cortical thickness and volume outcome measures, in addition to FreeSurfer-based regional quantification of amyloid PET standardized uptake value ratio (SUVR) outcomes, were evaluated. A neuroradiologist visually assessed the accuracy of FreeSurfer hippocampus segmentations with and without the application of RAVEL. Quantitative results demonstrated that the application of RAVEL intensity normalization prior to running FreeSurfer significantly impacted both FreeSurfer volume and cortical thickness outcome measures. Visual assessment demonstrated that the application of RAVEL significantly improved FreeSurfer hippocampal segmentation accuracy. The RAVEL intensity normalization had little impact on PET SUVR measures.
has issue date
2020-05-16
(
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)
bibo:doi
10.1007/978-3-030-50153-2_28
has license
no-cc
sha1sum (hex)
81b116d48b9b4f5353f6980801a6dbe6ab114ebb
schema:url
https://doi.org/10.1007/978-3-030-50153-2_28
resource representing a document's title
Statistical Methods for Processing Neuroimaging Data from Two Different Sites with a Down Syndrome Population Application
has PubMed Central identifier
PMC7274647
schema:publication
Information Processing and Management of Uncertainty in Knowledge-Based Systems
resource representing a document's body
covid:81b116d48b9b4f5353f6980801a6dbe6ab114ebb#body_text
is
schema:about
of
named entity 'cortical thickness'
named entity 'evaluated'
named entity 'collected'
named entity 'measures'
named entity 'Aging'
named entity 'MRI'
named entity 'application'
named entity 'impacted'
named entity 'problem'
named entity 'hippocampus'
named entity 'normalize'
named entity 'Visual'
named entity 'PET'
named entity 'normalization'
named entity 'Processing'
named entity 'AGING'
named entity 'OUTCOMES'
named entity 'QUANTIFICATION'
named entity 'intensities'
named entity 'intensity'
named entity 'Quantitative'
named entity 'Harmonization'
named entity 'prior'
named entity 'PET'
named entity 'ratio'
named entity 'presents'
named entity 'cortical thickness'
named entity 'MRI'
named entity 'hippocampal'
named entity 'positron emission tomography (PET) scans'
named entity 'RAVEL'
named entity 'Voxel'
named entity 'FreeSurfer'
named entity 'FreeSurfer'
named entity 'MRI'
named entity 'FreeSurfer'
named entity 'FreeSurfer'
named entity 'positron'
named entity 'Neurodegeneration'
named entity 'Statistical Methods'
named entity 'hippocampus'
named entity 'FreeSurfer'
named entity 'neuroradiologist'
named entity 'STUDIES'
named entity 'HIPPOCAMPUS'
named entity 'ASSESSED'
named entity 'SITE'
named entity 'PRESENTS'
named entity 'PET'
named entity 'RAVEL'
named entity 'FreeSurfer'
named entity 'RAVEL'
named entity 'PET'
named entity 'RAVEL'
named entity 'Neuroimaging'
named entity 'MEASURES'
named entity 'NEURODEGENERATION'
named entity 'PART OF'
named entity 'ACROSS'
named entity 'ADDITION'
named entity 'cortical thickness'
named entity 'FreeSurfer'
named entity 'RAVEL'
covid:arg/81b116d48b9b4f5353f6980801a6dbe6ab114ebb
named entity 'Linear regression'
named entity 'METHOD'
named entity 'MAGNETIC RESONANCE IMAGING'
named entity 'RATIO'
named entity 'OUTCOME MEASURES'
named entity 'ACCURACY'
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