Linked Life Data

21095899

Source:http://linkedlifedata.com/resource/pubmed/id/21095899

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:dateCreated
2010-11-24
pubmed:abstractText
Annulus manual segmentation is an important tool for the study of valve anatomy and physiology, for the four main valves of the heart (mitral, tricuspid, aortic and pulmonary). In this paper we review two traditional manual segmentation approaches: slice-by-slice and interpolating a sparse set of landmarks with a spline curve. We propose a new Spline Tool for the open source software platform Seg3D, that is fast and improves spatial coherence by providing visual feedback of the segmentation in real time. The Spline Tool was tested successfully on 14 rat hearts, on all four valves.
pubmed:grant
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
738-41
pubmed:meshHeading
pubmed:year
2010
pubmed:articleTitle
Cardiac valve annulus manual segmentation using computer assisted visual feedback in three-dimensional image data.
pubmed:affiliation
Computational Biology Group, Computing Laboratory, University of Oxford, Wolfson Building, Parks Rd, OX1 3QD, UK. ramon.casero@comlab.ox.ac.uk
pubmed:publicationType
Journal Article, In Vitro, Research Support, Non-U.S. Gov't, Evaluation Studies