Linked Life Data

18310998

Source:http://linkedlifedata.com/resource/pubmed/id/18310998

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
12
pubmed:dateCreated
2008-3-3
pubmed:abstractText
Determination of the region of interest (ROI) for dynamic renal function has been highly discordant among operators because of the dependence on factors such as the rate of injection of radioactive medicines, constitution, and renal function. To simplify this problem, we developed a computer algorithm that provides automatic analysis for both localization of the kidney and automatic determination of ROIs using computed tomographic (CT) images. The bilateral kidneys were extracted from enhanced CT images, and the CT pixel size was adjusted to dynamic renal function images. The template-matching technique was used for these images, and the kidney renal location was analyzed on additional functional images constructed by dynamic renal function images. As a result, we were able to obtain time-activity curves of both renal function and quantified glomerular filtration rate (GFR). In conclusion, the computer algorithm we developed was considered to provide reliable results, apart from the variability among operators, because of its good reproducibility.
pubmed:language
jpn
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Dec
pubmed:issn
0369-4305
pubmed:author
pubmed:issnType
Print
pubmed:day
20
pubmed:volume
63
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1377-81
pubmed:dateRevised
2011-7-28
pubmed:meshHeading
pubmed:year
2007
pubmed:articleTitle
[Development of automatic analysis for dynamic renal function study using computed tomographic (CT) images].
pubmed:affiliation
Center for Diagnostic Imaging, Kurume University Hospital.
pubmed:publicationType
Journal Article, English Abstract