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dc.contributor.authorBi, Lei
dc.contributor.authorKim, Jinman
dc.contributor.authorFeng, Dagan
dc.contributor.authorFulham, Michael
dc.date.accessioned2019-06-14
dc.date.available2019-06-14
dc.date.issued2014-11-06
dc.identifier.citationL. Bi, J. Kim, D. Dagan Feng and M. Fulham, "Classification of thresholded regions based on selective use of PET, CT and PET-CT image features," 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Chicago, IL, 2014, pp. 1913-1916. doi: 10.1109/EMBC.2014.6943985en_AU
dc.identifier.issn1094-687X
dc.identifier.urihttp://hdl.handle.net/2123/20555
dc.description.abstractFluorodeoxyglucose positron emission tomography - computed tomography (FDG PET-CT) is the preferred image modality for lymphoma diagnosis. Sites of disease generally appear as foci of increased FDG uptake. Thresholding methods are often applied to robustly separate these regions. However, its main limitation is that it also includes sites of FDG excretion and physiological FDG uptake regions, which we define as FEPU - sites of FEPU include the bladder, renal, papillae, ureters, brain, heart and brown fat. FEPU can make image interpretation problematic. The ability to identify and label FEPU sites and separate them from abnormal regions is an important process that could improve image interpretation. We propose a new method to automatically separate and label FEPU sites from the thresholded PET images. Our method is based on the selective use of features extracted from data types comprising of PET, CT and PET-CT. Our FEPU classification of 43 clinical lymphoma patient studies revealed higher accuracy when compared to non-selective image features.en_AU
dc.publisherIEEEen_AU
dc.relationARC DP140100211
dc.rights© 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en_AU
dc.titleClassification of thresholded regions based on selective use of PET, CT and PET-CT image featuresen_AU
dc.typeConference paperen_AU
dc.type.pubtypePost-printen_AU


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