Linked Life Data

20426024

Source:http://linkedlifedata.com/resource/pubmed/id/20426024

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
Pt 1
pubmed:dateCreated
2010-4-29
pubmed:abstractText
Tracking biopsy sites in endoscopic images can be useful to provide a visual aid for the guidance of surgical tools, for example when endoscopic guided biopsy is required. A new method for re-localisation of these sites is presented in this paper. It makes use of epipolar geometry properties between three images of the same site observed from different viewpoints with an endoscope. Two epipolar lines are derived from the two first images in the third image where the site needs to be re-localised. Their intersection corresponds to the location of the biopsy site. This method was tested with gastroscopic data from 2 patients with 9 series of three images of the oesophagus. The re-localisation error was estimated at less than 1.5 millimetres by a clinical endoscopist, which is sufficient for most clinical endoscopic applications.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:author
pubmed:volume
12
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
491-8
pubmed:dateRevised
2010-12-3
pubmed:meshHeading
pubmed:year
2009
pubmed:articleTitle
Biopsy site re-localisation based on the computation of epipolar lines from two previous endoscopic images.
pubmed:affiliation
Centre for Medical Image Computing, University College London UCL. b.allain@ucl.ac.uk
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't