Linked Life Data

17354836

Source:http://linkedlifedata.com/resource/pubmed/id/17354836

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
Pt 2
pubmed:dateCreated
2007-3-14
pubmed:abstractText
We present a new approach for the registration of breast MR images, which are acquired at different time points for observation of lesion evolution. In this registration problem, it is of utmost importance to correct only for differences in patient positioning and to preserve other diagnostically important differences between both images, resulting from anatomical and pathological changes between both acquisitions. Classical free form deformation algorithms are therefore less suited, since they allow too large local volume changes and their deformation is not biomechanically based. Instead of adding constraints or penalties to these methods in order to restrict unwanted deformations, we developed a truly biomechanically based registration method where the position of skin and muscle surface are used as the only boundary conditions. Results of our registration method show an important improvement in correspondence between the reference and the deformed floating image, without introducing physically implausible deformations and within a short computational time.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:author
pubmed:volume
9
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
718-25
pubmed:dateRevised
2009-12-11
pubmed:meshHeading
pubmed:year
2006
pubmed:articleTitle
Biomechanically based elastic breast registration using mass tensor simulation.
pubmed:affiliation
Medical Image Computing (Radiology - ESAT/PSI), Faculties of Medicine and Engineering, University Hospital, Gasthuisberg, Herestraat 49, B-3000 Leuven, Belgium. liesbet.roose@uz.kuleuven.ac.be
pubmed:publicationType
Journal Article, Evaluation Studies