Linked Life Data

16463385

Source:http://linkedlifedata.com/resource/pubmed/id/16463385

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
9
pubmed:dateCreated
2006-9-4
pubmed:abstractText
Typical packages used for coregistration in functional image analyses include automated image registration (AIR) and statistical parametric mapping (SPM). However, both methods have limited-dimension deformation models. A fully deformable model, which combines the piecewise linear registration for coarse alignment with demons algorithm for voxel-level refinement, allows a higher degree of spatial deformation. This leads to a more accurate colocalization of the functional signal from different subjects and therefore can produce a more reliable group average signal. We quantitatively compared the performance of the three different registration approaches through a series of experiments and we found that the fully deformable model consistently produces a more accurate structural segmentation and a more reliable functional signal colocalization than does AIR or SPM.
pubmed:grant
pubmed:commentsCorrections
http://linkedlifedata.com/resource/pubmed/commentcorrection/16463385-10677559, http://linkedlifedata.com/resource/pubmed/commentcorrection/16463385-11403198, http://linkedlifedata.com/resource/pubmed/commentcorrection/16463385-12391568, http://linkedlifedata.com/resource/pubmed/commentcorrection/16463385-12956267, http://linkedlifedata.com/resource/pubmed/commentcorrection/16463385-15832060, http://linkedlifedata.com/resource/pubmed/commentcorrection/16463385-15990339, http://linkedlifedata.com/resource/pubmed/commentcorrection/16463385-8812068, http://linkedlifedata.com/resource/pubmed/commentcorrection/16463385-9448780, http://linkedlifedata.com/resource/pubmed/commentcorrection/16463385-9530404, http://linkedlifedata.com/resource/pubmed/commentcorrection/16463385-9563953, http://linkedlifedata.com/resource/pubmed/commentcorrection/16463385-9873902
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Sep
pubmed:issn
1065-9471
pubmed:author
pubmed:copyrightInfo
(c) 2006 Wiley-Liss, Inc.
pubmed:issnType
Print
pubmed:volume
27
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
747-54
pubmed:dateRevised
2011-9-26
pubmed:meshHeading
pubmed:year
2006
pubmed:articleTitle
Quantitative comparison of AIR, SPM, and the fully deformable model for atlas-based segmentation of functional and structural MR images.
pubmed:affiliation
Department of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
pubmed:publicationType
Journal Article, Comparative Study, Research Support, Non-U.S. Gov't, Research Support, N.I.H., Extramural