A Survey for Fracture Detection in Hand Bone X-Ray Images

Information Technology

Medical imaging systems have been used in various medical application domains like trauma center orthopedic, pain management and vascular and non-vascular. One of the oldest and frequently used devices to capture human bones is X-ray. Computer aided bone fracture detection technique is mainly implemented to assist doctors to provide better diagnosis report. Bone fracture can occur in any part of human body such as the leg (tibia and fibula), hand (radius and ulna) and foot etc. The usage of medical images has been increasing tremendously due to a collection of thousands of medical images every day in medical institutions. Due to the increase in medical images there is a rising need of managing the data properly and accessing it accurately. Finding the correct boundary in noisy images is still a difficult task. It introduces a new edge following technique for boundary detection in noisy images. Use of the proposed technique demonstrates its application to diverse cases of medical images. The proposed technique can detect the boundaries of objects in noisy images using the information the fracture detection on the x-ray images is founded. This paper mainly discusses the computer aided diagnosis of fracture detection in human hand bone X-ray images. The proposed system has three steps. Namely, preprocessing, segmentation, and fracture detection.

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