Linked Life Data

11677400

Source:http://linkedlifedata.com/resource/pubmed/id/11677400

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
8-9 Pt 1
pubmed:dateCreated
2001-10-25
pubmed:abstractText
Computational neuroanatomy is emerging as an exciting new methodology to characterise shape and neuroanatomical configuration of different brains. It encompasses a triad of techniques: Voxel-based morphometry (VBM), which compares neuroanatomical differences on a voxel by voxel basis, Deformation-based morphometry (DBM), which provides information about global differences in brain shape and Tensor-based morphometry (TBM) which provides information about local shape differences. This review will describe the methodology and clinical applications of these techniques.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Sep
pubmed:issn
0035-3787
pubmed:author
pubmed:issnType
Print
pubmed:volume
157
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
797-806
pubmed:dateRevised
2005-11-16
pubmed:meshHeading
pubmed:year
2001
pubmed:articleTitle
Computational neuroanatomy: new perspectives for neuroradiology.
pubmed:affiliation
Wellcome Department of Cognitive Neurology, ION, UCL, London, UK.
pubmed:publicationType
Journal Article, Review