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Biomedical Image Processing Software Development for Shoulder Arthroplasty
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Author(s): Majid Mohammad Sadeghi (Istanbul Technical University, Turkey), Emin Faruk Kececi (Istanbul Technical University, Turkey), Kerem Bilsel (Bezmialem Vakif University, Turkey)and Ayse Aralasmak (Bezmialem Vakif University, Turkey)
Copyright: 2019
Pages: 22
Source title:
Medical Image Processing for Improved Clinical Diagnosis
Source Author(s)/Editor(s): A. Swarnambiga (Indian Institute of Technology Madras, India)
DOI: 10.4018/978-1-5225-5876-7.ch001
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Abstract
Shoulder arthroplasty is an important operation for the treatment of shoulder joints, with an increasing rate of operations per year around the world. Although this operation is generally achieved successfully, there are a number of complications which increase the risks in the operation. Preoperative planning for a surgery can help reduce the amount of risks resulting from complications and increase the success rate of the operation. Three-dimensional visualization software can be helpful in preoperative planning. This chapter aims to provide such software to help reduce the risks of the operation by visualizing 3D joint anatomy of the specific patient for the surgeon, and letting surgeons observe the geometrical properties of the joint.
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