English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Brain is the part of the central nervous system lo cated in skull. For the diagnosis of human brain be aring tumour, skull stripping plays an important pre-processing role. S kull stripping is the process separating brain and non-brain tissues of the head which is the critical processing step in the a nalysis of neuroimaging data. Though various algori thms have been proposed to address this problem, challenges remain. In this paper a new efficient skull stripping method for m agnetic resonance images (MRI) is proposed. This method adopts a two-step ap proach; in the first step an improved systematic ap plication of morphological reconstructions operations is done fo r the brain image and in the second step, a thresho lding based technique is used to extract the brain inside the skull. This pa per experimented on Axial PD and FLAIR MRI brain im ages.

A NOVEL APPROACH FOR EFFICIENT SKULL STRIPPING USING MORPHOLOGICAL RECONSTRUCTION AND THRESHOLDING TECHNIQUES