Linked Life Data

17917347

Source:http://linkedlifedata.com/resource/pubmed/id/17917347

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
8
pubmed:dateCreated
2007-10-5
pubmed:abstractText
This paper describes an approach to automatically detect the parenchymal hypoattenuation of hyperacute stroke in nonenhanced computed tomography (CT) images. This technique is based on a comparison between the CT values histograms of right and left brains. A subtraction curve that was regarded as an output value was calculated by subtracting the right-hemispherical histogram from the left-hemispherical histogram obtained from one of the region-of-interest (ROI) sets on an image. The output value was used to assess whether hypoattenuation exists on CT images with a threshold value. If judged abnormal, a rectangular region including a whole or partial hypoattenuation area was detected from the ROI. Twenty-six cases with hypoattenuation and 30 cases without hypoattenuation were included in this study. As a result of our experiments, the sensitivity of this method in detecting hypoattenuation was found to be 92%, with approximately 0.16 false-positive per image. Our preliminary experimental results indicated that the proposed technique can be used for the automated detection of parenchymal hypoattenuation of hyperacute stroke on nonenhanced CT images.
pubmed:language
jpn
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Aug
pubmed:issn
0369-4305
pubmed:author
pubmed:issnType
Print
pubmed:day
20
pubmed:volume
63
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
835-42
pubmed:dateRevised
2011-7-28
pubmed:meshHeading
pubmed:year
2007
pubmed:articleTitle
[Development of an algorithm for the detection of early signs of cerebral ischemia on CT images].
pubmed:affiliation
Department of Radiology, Sendai City Hospital.
pubmed:publicationType
Journal Article, English Abstract, Research Support, Non-U.S. Gov't