MRI Brain Image Quantification Using artificial neural networks – A Review Report

ARTICLE INFO ABSTRACT Received 1 April. 2015 Accepted 20 April. 2015 Dr Hs Rathode, Er. Wahid Ali Over the past few years, a brain tumor segmentation in magnetic resonance imaging (MRI) has become an important research area in the field of medical imaging system, as it helps in finding the exact size and location of tumor. An efficient algorithm is proposed in this paper for Automatic tumor detection based on segmentation using Daubechies Wavelet and Fuzzy C Means(FCM) Clustering. Then Quantification of the segmented portion is done showing the tumor area in pixels and the time elapsed to detect and calculate the area in seconds. The algorithm developed is accurate and fast to detect and quantify the tumor. This paper expresses a well-organized technique for automatic brain tumor segmentation for the detection and quantification of tumor tissues from MR images