Bone Fracture Detection using X-ray Images
Nitish Premanand Wadker1, Amita Dessai2
1Nitish Premanand Wadker, Department of Electronics and telecommunication, Goa College of Engineering, Farmagudi, Goa, India.
2Amita Dessai, Department of Electronics and Telecommunication, Goa College of Engineering, Farmagudi, Goa, India.
Manuscript received on 20 March 2017 | Revised Manuscript received on 30 March 2017 | Manuscript published on 30 March 2017 | PP: 28-32 | Volume-6 Issue-1, March 2017 | Retrieval Number: A1657036117©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Diagnosing minute fractures in the cases of pelvis bone injuries is critical for speedy and successful patient treatment. Minute fracture detection using x-ray images can be challenging and time consuming to examine due to their low resolution and dissimilar visual characteristics of fractures by their position. The pelvis bone is most dense due to which visual detection of the fracture is very difficult. This paper presents a fracture detection technique for the pelvis bone as well as pubic ring using Distance Regularized Level Set Evolution (DRLSE) technique for segmentation and detection of fracture using Canny Edge detector and gradient technique. Also inspection of displacement of the pelvic bone is done using Gray Level Co-occurrence Matrix (GLCM). Results so far have been encouraging and will be helpful in guiding the physicians and for better treatment of the patients.
Keyword: Biomedical image processing, Distance regularized level set evolution, Image processing, Pelvis bone fracture.
Scope of the Article: Biomedical Computing