Hybrid Technique for Human Spine MRI Classification

Abstract

MRI has become a proficient appliance for clinical diagnosis and research. For the identification of different diseases; it has become a useful medical modality. The purpose of optimized hybrid technique is to classify the spinal metastases and further these classifications can be used to help surgical planning and further research. Spine is the third most sites for Metastatic disease. The purpose of this study is to measure and characterize the different features of spine MRI which results in the diagnosis of exact spine disorder. Techniques used for research are GLCM and PCA for feature extraction and SVM for classification. Features extracted by GLCM give cent percent accuracy along with SVM-RBF classifier with minimum execution time of 3.7617 seconds. Software used for this research is MATLAB2011a. Choosing the right option for spine diagnosis is often difficult; as it includes life expectancy and balance of risk of surgery.