Desiccation Detection from Lumbar MR Images

dc.authorid0000-0001-8501-4812
dc.contributor.authorOktay, Ayse Betul
dc.contributor.authorAlbayrak, Nur Banu
dc.contributor.authorAkgul, Yusuf Sinan
dc.date.accessioned2025-05-10T19:28:57Z
dc.date.issued2013
dc.departmentİstanbul Medeniyet Üniversitesi
dc.description21st Signal Processing and Communications Applications Conference (SIU) -- APR 24-26, 2013 -- CYPRUS
dc.description.abstractDesiccation is the drying out of the fluids in the lumbar intervertebral discs and it may cause many health problems. In clinical practice, MR imaging is used for diagnosis because in T2-weighted MR images the desiccated discs are darker than non-desiccated discs. In this study, we present a method for automatically detecting desiccated lumbar intervertebral discs from MR images. First, the lumbar discs are automatically localized and labeled. Then, raw intensity features are used and texture features are extracted with local binary patterns technique from the lumbar discs. The features are trained and tested by random forests. The method is tested and validated on a dataset containing 80 MR images. The classification accuracy of the method is %88.54 and results are promising.
dc.identifier.isbn978-1-4673-5563-6
dc.identifier.isbn978-1-4673-5562-9
dc.identifier.issn2165-0608
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://hdl.handle.net/20.500.14730/7543
dc.identifier.wosWOS:000325005300273
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.language.isotr
dc.publisherIeee
dc.relation.ispartof2013 21st Signal Processing and Communications Applications Conference (Siu)
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WOS_20250302
dc.subjectLumbar intervertebral disc
dc.subjectdesiccation
dc.subjectlocal binary pattern
dc.subjectrandom forest
dc.subjectclassification
dc.titleDesiccation Detection from Lumbar MR Images
dc.typeConference Object

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