Computer-Aided Diagnosis in Brain MR Imaging-A Step Towards Automatic Lesion Interpretation

The ever-increasing stream of images and other information makes heavy demands on the radiologists. Magnetic Resonance Imaging (MRI), because of its superior soft tissue differentiation characteristics along with high spatial resolution and contrast is proved to be an important tool in the clinical and surgical environment. In this patient is not exposed to any harmful ionizing radiations. Brain MRIs may be used to assess disorders such as HIV infection of the brain, stroke, head injury, coma, Alzheimer disease, tumors and multiple sclerosis. Radiologists examine the Brain MR Images and based on visual interpretation of the films along with pathological reports, identify the presence of lesions. The large volume of MRI data to be analyzed with limited number of radiologists is labor intensive and costly task which may lead to inaccuracy in interpretation when the number of cases is more. This demands a need for automated systems for analysis and classification of different medical images. Computer assistance has already proved its value and will undoubtedly play a greater role in the future.