17 March 2017 Finding glenoid surface on scapula in 3D medical images for shoulder joint implant operation planning: 3D OCR
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Proceedings Volume 10341, Ninth International Conference on Machine Vision (ICMV 2016); 103411W (2017) https://doi.org/10.1117/12.2268409
Event: Ninth International Conference on Machine Vision, 2016, Nice, France
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.
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Majid Mohammad Sadeghi, Majid Mohammad Sadeghi, Emin Faruk Kececi, Emin Faruk Kececi, Kerem Bilsel, Kerem Bilsel, Ayse Aralasmak, Ayse Aralasmak, } "Finding glenoid surface on scapula in 3D medical images for shoulder joint implant operation planning: 3D OCR", Proc. SPIE 10341, Ninth International Conference on Machine Vision (ICMV 2016), 103411W (17 March 2017); doi: 10.1117/12.2268409; https://doi.org/10.1117/12.2268409
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