Diagnosis of rheumatoid arthritis in knee using fuzzy C means segmentation technique

摘要

Rheumatoid arthritis is a chronic inflammatory disease. It occurs mostly in joints such as wrist, foot and knee. Other than joints it also affects other parts in the body. Inflammation around the heart region and low red blood cell count are also possible causes of this disease. Although different imaging modalities like X-ray, MRI and CT are used to diagnose this disease. In recent days thermal imaging has proven to be more useful in medical imaging technique especially for disease diagnosing. Thermal imaging technique is based on infrared thermo grams, that shows a temperature variations in disease affected region. The main objective of this study is to diagnose the presence of rheumatoid arthritis using thermal imaging and to automatic segment the abnormal region in the knee. In this paper for thermal image segmentation of abnormal region fuzzy c means algorithm is proposed. And also in this study statistical features was extracted to compare the patient's data with control subject's data.