Effect of slice thickness on brain magnetic resonance image texture analysis

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dc.contributor.author Savio, Sami J -
dc.contributor.author Harrison, Lara CV -
dc.contributor.author Luukkaala, Tiina -
dc.contributor.author Heinonen, Tomi -
dc.contributor.author Dastidar, Prasun -
dc.contributor.author Soimakallio, Seppo -
dc.contributor.author Eskola, Hannu -
dc.date.accessioned 2012-06-17T20:16:03Z
dc.date.available 2012-06-15 07:23:55 -
dc.date.available 2012-06-17T20:16:03Z
dc.date.issued 2010 -
dc.identifier.issn 1475-925X -
dc.identifier.uri http://tampub.uta.fi/handle/10024/66178
dc.description BioMed Central Open access -
dc.description.abstract Background The accuracy of texture analysis in clinical evaluation of magnetic resonance images depends considerably on imaging arrangements and various image quality parameters. In this paper, we study the effect of slice thickness on brain tissue texture analysis using a statistical approach and classification of T1-weighted images of clinically confirmed multiple sclerosis patients. Methods We averaged the intensities of three consecutive 1-mm slices to simulate 3-mm slices. Two hundred sixty-four texture parameters were calculated for both the original and the averaged slices. Wilcoxon's signed ranks test was used to find differences between the regions of interest representing white matter and multiple sclerosis plaques. Linear and nonlinear discriminant analyses were applied with several separate training and test sets to determine the actual classification accuracy. Results Only moderate differences in distributions of the texture parameter value for 1-mm and simulated 3-mm-thick slices were found. Our study also showed that white matter areas are well separable from multiple sclerosis plaques even if the slice thickness differs between training and test sets. Conclusions Three-millimeter-thick magnetic resonance image slices acquired with a 1.5 T clinical magnetic resonance scanner seem to be sufficient for texture analysis of multiple sclerosis plaques and white matter tissue. -
dc.language.iso en -
dc.title Effect of slice thickness on brain magnetic resonance image texture analysis -
dc.type fi=Artikkeli aikakauslehdessä | en=Journal article| -
dc.identifier.urn urn:nbn:uta-3-501 -
dc.identifier.doi 10.1186/1475-925X-9-60 -
dc.type.version fi=Kustantajan versio | en=Publisher's version| -
dc.subject.okm fi=Kirurgia, anestesiologia, tehohoito, radiologia | en=Surgery, Anesthesiology, Intensive Care| -
dc.journal.title BioMedical Engineering OnLine -
dc.journal.volume 9 -
dc.journal.number 60 -
dc.journal.volumepagerange 1-14 -
dc.oldstats 80 -

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