Automatic Fracture Detection in Bone Images

Journal: GRENZE International Journal of Computer Theory and Engineering
Authors: G Narayanaswamy, Bindu A Thomas
Volume: 3 Issue: 4
Grenze ID: 01.GIJCTE.3.4.1 Pages: 1-4

Abstract

Automatic fracture detection in a bone image of any modalities is considered as an important process in medical image analysis by both orthopedic and radiologic point of view. The proposed research work use an algorithm can detect the fracture automatically in long bones (Tibia bones) images of any modalities and the detection process is carried out in three steps, namely preprocessing, segmentation and bone fracture detection. Based on the algorithm result it is possible to distinguish between fractured and non fractured bone images. The research work is carried out using Matlab 13.0 as the programming tool; the result obtained from algorithm shows approximately 80% accuracy in the fracture detection in bone image.

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