Linked Life Data

19056714

Source:http://linkedlifedata.com/resource/pubmed/id/19056714

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
9
pubmed:dateCreated
2008-12-5
pubmed:abstractText
Advances in high-resolution computed tomography (CT) imaging are making a full three-dimensional analysis of the lungs feasible. In particular, airway morphology can be studied in vivo and quantitative metrics of airway size and shape can be extracted. The thickening process associated with the inflammatory response in the diseased lung can be quantified by means of image processing techniques that extract the airway lumen and airway wall. In this article, we give an overview of these imaging techniques and their diverse nature. We also offer a comprehensive view of the analysis pipeline for three-dimensional airway trees and a validation framework that is needed to compare different techniques.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Dec
pubmed:issn
1546-3222
pubmed:author
pubmed:issnType
Print
pubmed:day
15
pubmed:volume
5
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
905-9
pubmed:meshHeading
pubmed:year
2008
pubmed:articleTitle
Three-dimensional airway measurements and algorithms.
pubmed:affiliation
Laboratory of Mathematics in Imaging, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, 1249 Boylston Street, 5 floor, Boston, MA 02215, USA. rjosest@bwh.harvard.edu
pubmed:publicationType
Journal Article