Towards automated detection of dicentric chromosomes in metaphase images

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dc.contributor.advisorCoetzer, Johannesen_ZA
dc.contributor.advisorMuller, N.en_ZA
dc.contributor.authorGalloway, Sarahen_ZA
dc.contributor.otherStellenbosch University. Faculty of Science. Dept. of Mathematical Sciences. Division Applied Mathematics.en_ZA
dc.date.accessioned2021-05-24T12:54:41Z
dc.date.available2021-05-24T12:54:41Z
dc.date.issued2021-03
dc.descriptionThesis (MSc)--Stellenbosch University, 2021.en_ZA
dc.description.abstractENGLISH ABSTRACT: The aim of the proposed research is to investigate methods to identify objects of interest and classify dicentric and normal chromosomes in metaphase images using suitable digital image processing techniques. Dicentric chromosomes are abnormal chromosomes with two centromeres (instead of one) created by a variety of processes, including irradiation. When a chromosome is exposed to radiation, two chromosome segments, each with a centromere may join together resulting in a dicentric chromosome. An acentric fragment, i.e. a partial chromosome with no centromere, is also formed. The first stage of the proposed system is geared towards the detection of objects of interest, i.e. isolated normal and isolated dicentric chromosomes, as well as acentric fragments and clusters of overlapping chromosomes. The last stage of the proposed system is geared towards the classification of isolated chromosomes as either normal or dicentric. The proposed system automatically detects objects of interest not associated with dirt. The classification of the aforementioned objects into isolated and clustered chromosomes, as well as acentric fragments, is conducted manually, while the automation of this stage is reserved for future work. The proposed system subsequently automatically categorises isolated chromosomes as either normal or dicentric. It is demonstrated that the system correctly detects and classifies a significant number of the aforementioned chromosomes within metaphase images provided by iThemba LABS.en_ZA
dc.description.abstractAFRIKAANSE OPSOMMING: Die doel van die voorgestelde navorsing is om metodes te ondersoek wat voorwerpe van belang in metafase-beelde identifiseer en disentriese en normale chromosome met behulp van geskikte beeldverwerkingstegnieke klassifiseer. Disentriese chromosome is abnormale chromosome met twee sentromere (in plaas van een) wat deur verskeie prosesse, insluitende bestraling, geskep word. Wanneer ’n chromosoom aan bestraling blootgestel word, kan twee chromosoomsegmente, elk met ’n sentromeer, saamgevoeg word wat ’n disentriese chromosoom tot gevolg het. ’n Asentriese fragment, dit wil sˆe ’n gedeeltelike chromosoom sonder ’n sentromeer, word ook gevorm. Die eerste fase van die voorgestelde stelsel is op die opsporing van voorwerpe van belang gerig, dit wil sˆe ge¨ısoleerde normale en ge¨ısoleerde disentriese chromosome, sowel as asentriese fragmente en groepe van oorvleulende chromosome. Die laaste fase van die voorgestelde stelsel is op die klassifikasie van ge¨ısoleerde chromosome as normaal of disentries gerig. Die voorgestelde stelsel bespeur outomaties voorwerpe van belang wat nie met vuilheid verband hou nie. Die klassifikasie van bogenoemde voorwerpe as ge¨ısoleerde en gegroepeerde chromosome, asook asentriese fragmente, word met die hand gedoen, terwyl die outomatisering van hierdie fase vir toekomstige werk gereserveer is. Die voorgestelde stelsel kategoriseer vervolgens ge¨ısoleerde chromosome outomaties as normaal of disentries. Daar word aangetoon dat die stelsel ’n beduidende aantal van bogenoemde chromosome korrek opspoor en klassifiseer binne die metafase-beelde wat deur iThemba LABS verskaf is.af_ZA
dc.description.versionMastersen_ZA
dc.format.extent96 pages : illustrationsen_ZA
dc.identifier.urihttp://hdl.handle.net/10019.1/110495
dc.language.isoen_ZAen_ZA
dc.publisherStellenbosch : Stellenbosch Universityen_ZA
dc.rights.holderStellenbosch Universityen_ZA
dc.subjectChromosomes in metaphase imagesen_ZA
dc.subjectChromosome abnormalities -- Detectionen_ZA
dc.subjectDigital image processingen_ZA
dc.subjectDicentric chromosomesen_ZA
dc.subjectMetaphase imagesen_ZA
dc.subjectUCTD
dc.titleTowards automated detection of dicentric chromosomes in metaphase imagesen_ZA
dc.typeThesisen_ZA
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