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dc.contributor.authorMerçan, Tanju
dc.contributor.authorSevim, Gençay
dc.contributor.authorKazancı, Hüseyin Özgür
dc.contributor.authorUncu, Yiğit Ali
dc.contributor.authorCanpolat, Murat
dc.date.accessioned2019-10-19T21:03:53Z
dc.date.available2019-10-19T21:03:53Z
dc.date.issued2017
dc.identifier.urihttps://hdl.handle.net/11421/15692
dc.description21st National Biomedical Engineering Meeting (BIYOMUT) -- NOV 24-DEC 26, 2017 -- Istanbul, TURKEYen_US
dc.descriptionWOS: 000447671500031en_US
dc.description.abstractCurrently, there are several devices have been used for diagnosis of breast cancer such as X-ray tomography ultrasound and MRI. These devices sending harmful photons to the body, costly, lack of resolution and portability. Therefore searching new methods to diagnose breast cancer are necessity. One of these methods is Diffuse Optical Tomography (DOT). In DOT study, 808 nm wavelength laser which has a high penetration to tissue is used. In in-vitro experiments, DOT measurements were acquired from a breast phantom was mixture of water and 1% Intralipid. Indocyanine green (ICG) was added to the mixture to make absorption coefficient 0.04 cm-1, similar to the breast tissue. A transparent balloon was filled Intralipid and ICG with absorption coefficient of 0.16 cm1 to mimic tumor inclusion 3D Image of breast phantoms were created by using Algebraic Reconstruction Technique (ART) and Truncated Conjugate Gradient (TCG) methods. The results obtained by the TCG algorithm are closer to the real, which is the closest of inclusion` s dimensions and contains less artifact. The system which we use consists of 2401 measurement and 2250 voxels so it is called as over-determined systems. According to findings, we inference that TCG algorithm works better than ART for over-determined system.en_US
dc.language.isoturen_US
dc.publisherIEEEen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.titleComparison of Images Produced by Diffuse Optical Tomography with Two Different Backscatter Techniquesen_US
dc.typeconferenceObjecten_US
dc.relation.journal2017 21St National Biomedical Engineering Meeting (Biyomut)en_US
dc.contributor.departmentAnadolu Üniversitesi, Fen Bilimleri Enstitüsü, İleri Teknolojiler Anabilim Dalıen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US]


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