Finding Glenoid Surface on Scapula in 3D Medical Images for Shoulder Joint Implant Operation Planning-3D OCR
| dc.contributor.author | Sadeghi, Majid Mohammad | |
| dc.contributor.author | Kececi, Emin Faruk | |
| dc.contributor.author | Bilsel, Kerem | |
| dc.contributor.author | Aralasmak, Ayse | |
| dc.contributor.department | AGÜ, Mühendislik Fakültesi, Makine Mühendisliği Bölümü | en_US |
| dc.contributor.institutionauthor | Kececi, Emin Faruk | |
| dc.date.accessioned | 2021-08-16T08:48:13Z | |
| dc.date.available | 2021-08-16T08:48:13Z | |
| dc.date.issued | 2017 | en_US |
| dc.description | The 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.abstract | Medical 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.sponsorship | TUBITAK 2215 program Istanbul Technical University 39686 Bezmialem University Hospital Scientific Research Projects Program | en_US |
| dc.identifier.isbn | 978-1-5106-1132-0 | |
| dc.identifier.issn | 0277-786X | |
| dc.identifier.issn | 1996-756X | |
| dc.identifier.uri | https://doi.org/10.1117/12.2268409 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12573/922 | |
| dc.identifier.volume | Volume 10341 | en_US |
| dc.language.iso | eng | en_US |
| dc.publisher | SPIE-INT SOC OPTICAL ENGINEERING1000 20TH ST, PO BOX 10, BELLINGHAM, WA 98227-0010 USA | en_US |
| dc.relation.isversionof | 10.1117/12.2268409 | en_US |
| dc.relation.journal | NINTH INTERNATIONAL CONFERENCE ON MACHINE VISION (ICMV 2016) | en_US |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
| dc.relation.tubitak | 2215 program | |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | Glenoid surface | en_US |
| dc.subject | patient specific implant design | en_US |
| dc.subject | Medical image processing | en_US |
| dc.title | Finding Glenoid Surface on Scapula in 3D Medical Images for Shoulder Joint Implant Operation Planning-3D OCR | en_US |
| dc.type | conferenceObject | en_US |
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