i-manager Publications

A Computer Aided Diagnosis (CAD) System for Segmentation and Analysis of Brain Magnetic Resonance Images

T. Chandra Sekhar Rao*, G.Sreenivasulu**

* Professor, Department of Electronics and Communication Engineering, Loyola Institute of Technology and Management, Sattenapalli, India.

** Professor, Department of Electronics and Communication Engineering, SVU College of Engineering, Tirupati, India.

Periodicity:October - December'2015
DOI : https://doi.org/10.26634/jip.2.4.3687

Abstract

Medical image processing has become the main stay of diagnosis for a multitude of diseased conditions. The advent of sophisticated image processing procedures coupled with the exponential growth in processing power of systems and storages has resulted in huge volume of data that has to be interpreted and analyzed. The huge volume data implies the need for automated analysis system to reduce the burden on radiologists and help in providing quality diagnosis. This paper presents a Computer Aided Diagnosis (CAD) system for segmentation and analysis of Brain tumors in magnetic resonance images. The system has scope for making different analysis like edge analysis, morphological processing, histogram analysis etc. As part of system four different segmentation approaches like, K means segmentation, Watershed segmentation; Fuzzy C Means (FCM) segmentation and Enhanced Independent Component Analysis (EICA) and Mixture model based segmentation are implemented. The performance of the segmentation approaches are evaluated using different performance measures.

Keywords

CAD, MRI, Brain Tumor, Edge Analysis, K means Segmentation, FCM, EICA.

How to Cite this Article?

Rao, T.C.S., and Sreenivasulu, G. (2015). A Computer Aided Diagnosis (CAD) System for Segmentation and Analysis of Brain Magnetic Resonance Images. i-manager’s Journal on Image Processing, 2(4), 19-29. https://doi.org/10.26634/jip.2.4.3687

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A Computer Aided Diagnosis (CAD) System for Segmentation and Analysis of Brain Magnetic Resonance Images

Abstract

Keywords

How to Cite this Article?

References

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