Open Access
Subscription or Fee Access
Particle Swarm Optimization vs Seed-Based Region Growing: Brain Abnormalities Segmentation
Shafaf Ibrahim, Noor Elaiza Abdul Khalid, Mazani Manaf, Umi Kalthum Ngah
Abstract
Segmentation remains one of the most challenging problems in medical imaging due to the low contrast of images. Segmentation of Magnetic Resonance Imaging (MRI) images is an important part of brain imaging research. Segmentation can facilitate the diagnosis of neurological diseases. This paper compares the performances of Particle Swarm Optimization (PSO) and Seed-Based Region Growing (SBRG) approaches in the segmentation of human brain tissue abnormalities. In this paper, the abnormalities are categorized as “light” and “dark” according to their appearances. Fifty controlled experimental data which is also called mosaic images is used. The data is designed in such a way that prior knowledge of the size of the abnormalities are known. This is done by cutting various shapes and sizes of various abnormalities and pasting them onto normal brain tissues, where the tissues and the background are divided into “low”, “medium” and “high” intensities. The knowledge of the size of the abnormalities by the number of pixels are then used as the ground truth to be compared with both PSO and SBRG segmentation results. It was found that the proposed PSO and SBRG techniques may provide potential solutions to the current difficulties in detecting abnormalities in human brain tissue area.
Keywords
Texture evaluation method, Particle Swarm Optimization (PSO), Seed-Based Region Growing (SBRG), brain abnormalities, Magnetic Resonance Imaging (MRI).
Full Text:
PDF
Disclaimer/Regarding indexing issue:
We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information. Also: DOI is paid service which provided by a third party. We never mentioned that we go for this for our any journal. However, journal have no objection if author go directly for this paid DOI service.