A Novel Image Segmentation and Volume Estimation method on MRI based Brain images

Abstract:  In this paper we present a novel approach for segmenting as well as estimating the volume of various brain tissues like white matter, gray matter, hippocampus Cerebro spinal fluid etc. In the study of brain morphometry, it is accepted that a relationship exists between brain structure and function, both normal and abnormal. One descriptor of morphometric structure is volume. Volumetric measures introduce a level of precision in the estimation of the size of white matter, grey matter, hippocampi and other tissues that is not available simply by visually inspecting a set of MR images. For that we need to perform MR image acquisition and image processing

Keywords: Threshold-based segmentation, Magnetic resonance, K-Means algorithm, Cavalieri’s estimator