Linked Life Data

17946104

Source:http://linkedlifedata.com/resource/pubmed/id/17946104

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:dateCreated
2007-10-23
pubmed:abstractText
More and more hybrid PET/CT machines are being installed in medical centers across the country as combining computer tomography (CT) and positron emission tomography (PET) provides powerful and unique means in tumor diagnosis. Visual inspection of the images is a tedious and error-prone task and in many clinics the attenuation-uncorrected PET images are not examined by the physician, potentially missing an important source of information, especially for subtle tumors. We are developing a computer aided diagnosis software prototype that simultaneously processes the CT, attenuation-corrected PET, and attenuation-uncorrected PET volumes to detect tumors in the lungs. The system applies optimal thresholding and multiple gray-level thresholding with volume criterion to extract the lungs and to detect tumor candidates, respectively. A fuzzy logic based approach is used to reduce false-positive tumors. The remaining set of tumor candidates are ranked according to their likelihood of being actual tumors. We show the preliminary results of a retrospective evaluation of clinical PET/CT images.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
1557-170X
pubmed:author
pubmed:issnType
Print
pubmed:volume
1
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
2320-3
pubmed:meshHeading
pubmed:year
2006
pubmed:articleTitle
Computerized detection of lung tumors in PET/CT images.
pubmed:affiliation
Department of Electrical and Computer Engineering, Wayne State University, Detroit, MI 48202, USA.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't, Evaluation Studies