Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:dateCreated
2005-2-18
pubmed:abstractText
Creating a library of binary segmentation mask sequences for the abdominal anatomy hierarchy of SNOMED and developing a quick, flexible automatic method for generating iso-surface models from these named structure masks has been a primary goal in our research. This paper describes our development of a clear path for computing visualizations of arbitrary groups of organs from these masks (typically generated from Visible Human data). One use of these methods is teaching the anatomy of various organ systems in the human body using virtual reality environments.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
T
pubmed:status
MEDLINE
pubmed:issn
0926-9630
pubmed:author
pubmed:issnType
Print
pubmed:volume
111
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
473-6
pubmed:dateRevised
2007-11-14
pubmed:meshHeading
pubmed:year
2005
pubmed:articleTitle
Automated renderer for visible human and volumetric scan segmentations.
pubmed:affiliation
Department of Surgery, The University of Chicago, Chicago, IL, USA. jcs@uchicago.edu
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, P.H.S., Research Support, N.I.H., Extramural