Finding glenoid surface on scapula in 3D medical images for shoulder joint implant operation planning: 3D OCR

Majid Mohammad Sadeghi; Emin Faruk Kececi; Kerem Bilsel M.D.; Ayse Aralasmak M.D.

doi:10.1117/12.2268409

17 March 2017 Finding glenoid surface on scapula in 3D medical images for shoulder joint implant operation planning: 3D OCR

Majid Mohammad Sadeghi, Emin Faruk Kececi, Kerem Bilsel M.D., Ayse Aralasmak M.D.

Author Affiliations +

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.

Citation Download Citation

Majid Mohammad Sadeghi, Emin Faruk Kececi, Kerem Bilsel M.D., and Ayse Aralasmak M.D. "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); https://doi.org/10.1117/12.2268409

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