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dc.contributor.authorSadeghi, Majid Mohammad
dc.contributor.authorKececi, Emin Faruk
dc.contributor.authorBilsel, Kerem
dc.contributor.authorAralasmak, Ayse
dc.date.accessioned2021-08-16T08:48:13Z
dc.date.available2021-08-16T08:48:13Z
dc.date.issued2017en_US
dc.identifier.isbn978-1-5106-1132-0
dc.identifier.issn0277-786X
dc.identifier.issn1996-756X
dc.identifier.urihttps://doi.org/10.1117/12.2268409
dc.identifier.urihttps://hdl.handle.net/20.500.12573/922
dc.descriptionThe author of this study has been financially supported by TUBITAK 2215 program. This project has been financially supported by Istanbul Technical University Scientific Research Projects Program #39686 and Bezmialem University Hospital Scientific Research Projects Program. The CT scan data used in this study belongs to a patient who received treatment by the authors of this paper previously and no personal information is disclosed.en_US
dc.description.abstractMedical imaging has great importance in earlier detection, better treatment and follow-up of diseases. 3D Medical image analysis with CT Scan and MRI images has also been used to aid surgeries by enabling patient specific implant fabrication, where having a precise three dimensional model of associated body parts is essential. In this paper, a 3D image processing methodology for finding the plane on which the glenoid surface has a maximum surface area is proposed. Finding this surface is the first step in designing patient specific shoulder joint implant.en_US
dc.description.sponsorshipTUBITAK 2215 program Istanbul Technical University 39686 Bezmialem University Hospital Scientific Research Projects Programen_US
dc.language.isoengen_US
dc.publisherSPIE-INT SOC OPTICAL ENGINEERING1000 20TH ST, PO BOX 10, BELLINGHAM, WA 98227-0010 USAen_US
dc.relation.isversionof10.1117/12.2268409en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectGlenoid surfaceen_US
dc.subjectpatient specific implant designen_US
dc.subjectMedical image processingen_US
dc.titleFinding Glenoid Surface on Scapula in 3D Medical Images for Shoulder Joint Implant Operation Planning-3D OCRen_US
dc.typeconferenceObjecten_US
dc.contributor.departmentAGÜ, Mühendislik Fakültesi, Makine Mühendisliği Bölümüen_US
dc.contributor.institutionauthorKececi, Emin Faruk
dc.identifier.volumeVolume 10341en_US
dc.relation.journalNINTH INTERNATIONAL CONFERENCE ON MACHINE VISION (ICMV 2016)en_US
dc.relation.tubitak2215 program
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US


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