Affiliations: [a] Sri Lanka Institute of Information Technology, BoC Merchant Tower, Colombo, Sri Lanka | [b] Orthopedic Unit, Colombo General Hospital, Colombo, Sri Lanka | [c] Department of Biochemistry, Faculty of Medicine and Allied Sciences, University of Rajarata, Saliyapura, Anuradhapura, Sri Lanka
Correspondence:
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Corresponding author: F.M.M.T. Marikar, Department of Biochemistry, Faculty of Medicine and Allied Sciences, University of Rajarata, Saliyapura, Anuradhapura, Sri Lanka. Tel.: +94 2522 34461; Fax: +94 252234465; E-mail: faiz.marikar@fulbrightmail.org
Abstract: Early treatment planning for supracondylar fracture of humerus (SFHs) in children by image processing research is mainly focus on developing a complete software solution for analysis and diagnosis of SFHs in children as well as provides a pre operational planning is the main objective of this study. However, as the manual process of measurement is usually complex, it is difficult to operate on clinic. This study proposes an effective technique for measuring a fracture angle in digital scan images taken on the personal computer. This approach is particularly promising in the context of find the angle of the fracture because of the high level of children needed in such accuracy in calculation of the fracture angle to fix it. Our goal is accurate detection of fracture angle. In this paper, we present a strategy based on advances in automatic interpretation of images applied to X-ray images scanned in situ. We propose a cognitive vision system that combines image processing, learning and knowledge based techniques with an advance algorithm to solve the problem. This system is illustrated with automatic detection and calculating Cubitus varus deformity at an early stage. We have compared our approach with manual calculation methods and our results showed that automatic processing is reliable. Special attention was paid to high fracture cases, which are crucial to take decisions whether to treat with an operation. The proposed method was validated with the results showing with the manual calculation and an operator can successfully make a measurement within a minute.
Keywords: Supracondylar fracture of humerus, SFHs, image processing, X-ray
