Digital Image Processing
Image analysis based interface for diagnostic expert systems
WISICT '04 Proceedings of the winter international synposium on Information and communication technologies
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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 ehildren 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.