Publication:
Finding Glenoid Surface on Scapula in 3D Medical Images for Shoulder Joint Implant Operation Planning-3D OCR

Simple item page
dc.contributor.authorSadeghi, Majid Mohammad
dc.contributor.authorKececi, Emin Faruk
dc.contributor.authorBilsel, Kerem
dc.contributor.authorAralasmak, AYŞE
dc.contributor.institutionauthorBİLSEL, İSMAIL KEREM
dc.contributor.institutionauthorARALAŞMAK, AYŞE
dc.date.accessioned2019-10-05T21:59:40Z
dc.date.available2019-10-05T21:59:40Z
dc.date.issued2017-01-01
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.
dc.identifier.doi10.1117/12.2268409
dc.identifier.scopus85029926852
dc.identifier.urihttps://hdl.handle.net/20.500.12645/8636
dc.identifier.wosWOS:000410664800067
dc.language.isoen
dc.subjectSadeghi M. M. , Kececi E. F. , Bilsel K., Aralasmak A., -Finding Glenoid Surface on Scapula in 3D Medical Images for Shoulder Joint Implant Operation Planning-3D OCR-, 9th International Conference on Machine Vision (ICMV), Nice, Fransa, 18 - 20 November 2016, cilt.10341
dc.titleFinding Glenoid Surface on Scapula in 3D Medical Images for Shoulder Joint Implant Operation Planning-3D OCR
dc.typeConference Paper
dspace.entity.typePublication
local.avesis.idd72b76ba-c4fd-4c5e-8c91-f8c1e0e0cf6f
local.avesis.response8512
local.indexed.atWOS
local.indexed.atScopus
local.publication.isinternational1
relation.isAuthorOfPublicationdb1859ad-a3b3-4299-8b42-89a62b377d7d
relation.isAuthorOfPublication916dd84c-0db6-43c4-8168-c6c875f27bbe
relation.isAuthorOfPublication.latestForDiscoverydb1859ad-a3b3-4299-8b42-89a62b377d7d

Files

Collections

Yayınlar - Eserler
Tıp Fakültesi