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AM-FM texture segmentation in electron microscopic muscle imaging

dc.contributor.authorPattichis, Marios S.en
dc.contributor.authorPattichis, Constantinos S.en
dc.contributor.authorAvraam, Mariaen
dc.contributor.authorBovik, Alan Conraden
dc.contributor.authorKyriacou, Kyriacos C.en
dc.creatorPattichis, Marios S.en
dc.creatorPattichis, Constantinos S.en
dc.creatorAvraam, Mariaen
dc.creatorBovik, Alan Conraden
dc.creatorKyriacou, Kyriacos C.en
dc.date.accessioned2019-11-13T10:41:57Z
dc.date.available2019-11-13T10:41:57Z
dc.date.issued2000
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/54821
dc.description.abstractThis paper describes the application of an amplitude modulation-frequency modulation (AM-FM) image representation in segmenting electron micrographs of skeletal muscle for the recognition of: 1) normal sarcomere ultrastructural pattern and 2) abnormal regions that occur in sarcomeres in various myopathies. A total of 26 electron micrographs from different myopathies were used for this study. It is shown that the AM-FM image representation can identify normal repetitive structures and sarcomeres, with a good degree of accuracy. This system can also detect abnormalities in sarcomeres which alter the normal regular pattern, as seen in muscle pathology, with a recognition accuracy of 75%-84% as compared to a human expert. © 2000 IEEE.en
dc.sourceIEEE Transactions on Medical Imagingen
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-0034351118&doi=10.1109%2f42.897818&partnerID=40&md5=8267acf7a2078fce4e317d1d5dd8e6a6
dc.subjectmethodologyen
dc.subjecthumanen
dc.subjectHumansen
dc.subjectletteren
dc.subjectpathologyen
dc.subjectMuscleen
dc.subjectskeletal muscleen
dc.subjectechographyen
dc.subjectmyopathyen
dc.subjectElectron microscopyen
dc.subjectFrequency modulationen
dc.subjectMedical imagingen
dc.subjectMuscle, Skeletalen
dc.subjectMicroscopy, Electronen
dc.subjectTexturesen
dc.subjectImage segmentationen
dc.subjectAmplitude modulationen
dc.subjectTexture analysisen
dc.subjectAM-FM modelingen
dc.subjectMitochondrial Myopathiesen
dc.subjectmitochondrial myopathyen
dc.subjectMuscle imagingen
dc.subjectMuscle imagingsen
dc.subjectMyopathiesen
dc.subjectMyopathies, Nemalineen
dc.subjectMyopathies, Structural, Congenitalen
dc.subjectnemaline myopathyen
dc.subjectsarcomereen
dc.subjectSarcomeresen
dc.titleAM-FM texture segmentation in electron microscopic muscle imagingen
dc.typeinfo:eu-repo/semantics/article
dc.identifier.doi10.1109/42.897818
dc.description.volume19
dc.description.issue12
dc.description.startingpage1253
dc.description.endingpage1258
dc.author.faculty002 Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences
dc.author.departmentΤμήμα Πληροφορικής / Department of Computer Science
dc.type.uhtypeArticleen
dc.description.notes<p>Cited By :24</p>en
dc.source.abbreviationIEEE Trans.Med.Imagingen
dc.contributor.orcidPattichis, Constantinos S. [0000-0003-1271-8151]
dc.contributor.orcidPattichis, Marios S. [0000-0002-1574-1827]
dc.gnosis.orcid0000-0003-1271-8151
dc.gnosis.orcid0000-0002-1574-1827


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