Linked Life Data

21096646

Source:http://linkedlifedata.com/resource/pubmed/id/21096646

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PredicateObject
rdf:type
lifeskim:mentions
pubmed:dateCreated
2010-11-24
pubmed:abstractText
We present a feature point detection algorithm which we use for non-rigid registration, illustrated for breast images (mammography, MRI). By associating the continuous intrinsic dimensionality of image structure with the output of a scale saliency algorithm, breast boundary points can be separated from internal feature points. Correspondences established for the breast boundary and internal feature points respectively are used to drive two recent non-rigid registration techniques: polyaffine transformation and coherent point drift registration. Experimental results are presented for digital breast tomosynthesis and 3D breast MRI, and in all case achieve good spatial alignments.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
1557-170X
pubmed:author
pubmed:issnType
Print
pubmed:volume
2010
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
4387-90
pubmed:meshHeading
pubmed:year
2010
pubmed:articleTitle
Non-rigid registration of breast images using feature points.
pubmed:affiliation
Wolfson Medical Vision Lab, Department of Engineering Science, University of Oxford, Parks Road, OX1 3PJ, UK. weiwei@roborts.ox.ac.uk
pubmed:publicationType
Journal Article