Diagnosis of the Abnormality Extracted MRI Slice Images of a GUI Based Intelligent Diagnostic Imaging System

Abstract

Diagnosis is the Key feature of an Intelligent Diagnostic Imaging System (IDIS). This paper describes the major diagnosis depending on the shape, texture, and area of the abnormality. Abnormality extraction is the vital step in a series of processes aimed at overall image understanding. Region based segmentation is used for abnormality extraction. This paper also describes author defined algorithms for threshold detection for abnormality extraction, which gives excellent result compared to the threshold detection using Otsu's method. Different algorithms are used for T1 and T2 MRI Images. This paper does the comparison of different segmentation techniques. MATLAB tools are used to do the segmentation.