International Journal of Computer Science Engineering and Information Technology Research (IJCSEITR) ISSN 2249-6831 Vol. 3, Issue 3, Aug 2013, 23-28 © TJPRC Pvt. Ltd. MRI BRAIN IMAGE ANALYSIS FOR TUMOR DETECTION USING OPTIMIZATION TECHNIQUE P. SURESH BABU 1 & B. SAVITHA 2 1 Department of Information Technology, Velammal Institute of Technology, Chennai,Tamilnadu, India 2 Department of Information Technology, Sona College of Technology, Salem, Tamilnadu, India ABSTRACT Brain tumor is a group of abnormal cells that grows inside of the brain or around the brain. Tumors can directly destroy all healthy brain cells or indirectly damage healthy cells by crowding other parts of the brain and causing inflammation, brain swelling and pressure within the skull. Ant Colony Optimization (ACO) metaheuristic is a recent population-based approach inspired by the behavior of real ants colony and based upon their collective foraging behavior. In ACO, solutions of the problem are constructed within a stochastic iterative process, by adding solution components to partial solutions. Each individual ant constructs a part of the solution using an artificial pheromone, which reflects its experience accumulated while solving the problem, and heuristic information dependent on the problem. In this paper, the proposed technique ACO hybrid with Fuzzy algorithm and Technique are tested from KMCH Hospital Database. KEYWORDS: Ant Colony Optimization, Fuzzy Algorithm, Metaheuristic, Artificial Pheromone INTRODUCTION Tumor is one of the most common brain diseases, so its diagnosis and treatment have a vital importance for more than 400000 persons per year in the world (based on the World Health Organization (WHO) estimates). On the other hand, in recent years, developments in medical imaging techniques allow us to use them in several domains of medicine, for example, computer aided pathologies diagnosis, follow-up of these pathologies, surgical planning, surgical guidance, statistical and time series (longitudinal) analysis. Among all the medical image modalities, Magnetic Resonance Imaging (MRI) is the most frequently used imaging technique in neuroscience and neurosurgery for these applications. MRI creates a 3D image which perfectly visualizes anatomic structures of the brain such as deep structures and tissues of the brain, as well as the pathologies. Brain tumor is one of the major causes for the increase in Mortality among people. A tumor is an abnormal growth caused by cells reproducing themselves in an uncontrolled manner [10]. In the UK, over 4,200 people are diagnosed with a brain tumor every year (2007 estimates). There are about 200 other types of tumors diagnosed in UK each year. About 16 out of every 1,000 cancers diagnosed in the UK are in the brain (or 1.6%). In India, totally 80,271 people are affected by various types of tumor (2007 estimates). These names depend on where the tumor originated, its pattern of growth, and whether it is cancerous or not. The tumor is divided into two categories: Primary brain tumor and secondary tumor. A primary malignant brain tumor is one that originates in the brain itself although these tumors often shed cancerous cells to other sites in the central nervous system and spread to other parts of the body. Primary brain tumors account for 1.4% of all cancers which occur every year in the United States. These types of tumors are rare and difficult to remove. It has a very heterogeneous response to therapy. A secondary or metastatic brain tumor occurs when cancer cells spread to the brain from a primary cancer in another part of the body. A Metastasis formed from cells that have spread is