Feature Extraction of the Brain Tumours with the help of MRI, based on Symmetry and partitioning

Pratima Gumaste, Vinayak Bairagi


Computer-aided diagnostic (CAD) studies are used for scientific observations for explanation since very long time, but they are extraordinarily powerful to perform completely machine-driven algorithmic analyses for brain magnetic resonance imaging lesions. Structural and purposeful imbalance within the human brain could be reviewed. This imbalance analysis of the brain has terrific importance in an image analysis. In the present work, the imbalance between the two hemispheres is considered as the base for the detection of the tumour. We have segmented the brain into the two halves using thresholding technique, followed by statistical feature extraction for the double authentication of the existence of tumour which proves to be the better approach. The approach also takes into consideration corrections needed for the tilt observed while capturing the MRI.


MRI; Mid-sagittal plane; symmetry; T2 weighted Images

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DOI: http://dx.doi.org/10.21533/pen.v7i3.312


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Copyright (c) 2019 Pratima Gumaste

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ISSN: 2303-4521

Digital Object Identifier DOI: 10.21533/pen

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License