Brain tumor detection using monomodal intensity based medical image registration and MATLAB

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dc.authoridIrmak, Emrah/0000-0002-7981-2305
dc.contributor.authorIrmak, Emrah
dc.contributor.authorErcelebi, Ergun
dc.contributor.authorErtas, Ahmet H.
dc.date.accessioned2024-09-29T16:08:19Z
dc.date.available2024-09-29T16:08:19Z
dc.date.issued2016
dc.departmentKarabük Üniversitesien_US
dc.description.abstractThe registration concept is one of the most important and popular aspects of digital image processing. Using suitable computer programming techniques and transformation between two images, a new much more informative image can be found. In this paper, three important and basic medical image registration (MIR) methods, namely MIR by maximization of mutual information, MIR using cross correlation (Fourier transform approach), and MIR by minimization of similarity metric, were proposed and accordingly two comprehensive applications were performed using MIR by minimization of the similarity metric, which uses the sum of the squared differences metric as a metric and the regular step gradient descent optimizer as an optimizer. What is more, MR images of two patients who had brain tumors are registered with different MR images of the same patients at a different time so that growthiness of the tumor inside the patient's brain can be investigated. It is thought that this paper will provide a comprehensive reference source for researchers involved in MIR because this paper contains not only a powerful explanation of three methods of medical image registration but also provides two experimental results using MIR by minimization of the similarity metric.en_US
dc.identifier.doi10.3906/elk-1403-75
dc.identifier.endpage2746en_US
dc.identifier.issn1300-0632
dc.identifier.issn1303-6203
dc.identifier.issue4en_US
dc.identifier.scopus2-s2.0-84974691308en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage2730en_US
dc.identifier.urihttps://doi.org/10.3906/elk-1403-75
dc.identifier.urihttps://hdl.handle.net/20.500.14619/7487
dc.identifier.volume24en_US
dc.identifier.wosWOS:000374325800050en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherTubitak Scientific & Technological Research Council Turkeyen_US
dc.relation.ispartofTurkish Journal of Electrical Engineering and Computer Sciencesen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectMedical image registration (MIR)en_US
dc.subjectimage processingen_US
dc.subjectsum of squared differencesen_US
dc.titleBrain tumor detection using monomodal intensity based medical image registration and MATLABen_US
dc.typeArticleen_US

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