This study uses an empirical study of the

efficiency of Particle swarm optimization (PSO) in

segmentation of brain abnormalities. Presently,

segmentation poses one of the most challenging

problems in medical imaging. Segmentation of

Magnetic Resonance Imaging (MRI) images is an

important part of brain imaging research. In this

study, we used controlled experimental data as our

testing data. The data is designed which that prior

knowledge of the size of the abnormalities are

known.