Linked Life Data

12948737

Source:http://linkedlifedata.com/resource/pubmed/id/12948737

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
2003-9-1
pubmed:abstractText
A Java-based tool for delineating anatomic boundaries in 8- and 16- bit grayscale volumetric images is described. Modern features implemented by the tool include the ability to simultaneously view the current cursor position and the previously delineated boundaries on three orthogonal planes, the ability to magnify images during delineation using high-quality interpolation, the ability to encode and save boundaries with subvoxel resolution, and the ability to utilize coregistered images interchangeably during delineation. Additional features facilitate use of the tool in a multiuser, multiplatform environment and provide support for the documentation of anatomic delineation protocols. In addition to providing direct estimates of structure volumes, areas, and lengths, the tool allows contoured boundaries to be exported for more sophisticated analyses. The tool also provides support for manual editing of image volumes to remove confounding structures and for manual correction of image volumes that have been inaccurately edited. In addition to its research utility, the tool also has potential value in education, allowing students to interact with volumetric data and structural boundaries in three dimensions.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Aug
pubmed:issn
1053-8119
pubmed:author
pubmed:issnType
Print
pubmed:volume
19
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1829-34
pubmed:dateRevised
2007-11-14
pubmed:meshHeading
pubmed:year
2003
pubmed:articleTitle
Multitracer: a Java-based tool for anatomic delineation of grayscale volumetric images.
pubmed:affiliation
Department of Neurology, Ahmanson-Lovelace Brain Mapping Center, David Geffen School of Medicine at UCLA, University of California-Los Angeles, 660 Charles E. Young Drive South, Los Angeles, CA 90095, USA. rwoods@ucla.edu
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, P.H.S., Research Support, Non-U.S. Gov't