A new Method on Brain MRI Image Preprocessing for Tumor Detection
Keywords:
Brain Tumor, Magnetic Resonance Image (MRI), Preprocessing and Enhancement, Segmentation, Feature Extraction, ClassificationAbstract
Medical imaging is a vital component of a large number of applications. MRI is the state-of the-art medical imaging technology, which allows cross sectional view of the body with unprecedented tissue contrast. The information that MRI provides has greatly increased knowledge of normal and diseased anatomy for medical research, and is a critical component in diagnosis and treatment planning. In this paper, we have planned to develop an approach to brain MRI image preprocessing for tumor detection. In preprocessing steps, we need to perform Skull Stripping & Image Enhancement. Skull Stripping is required to produce better results. Image Enhancement is for adjusting digital images for future analysis.
References
[1] J.Jaya, K.Thanushkodi, "Exploration on Selection of Medical Images employing New Transformation Technique", IJCSI International Journal of Computer Science Issues, Vol. 7, Issue 3, No 4, May 2010.
[2] [2] Bhandarkar, S.M. and P. Nammalwar, "Segmentation of Multispectral MR images Using a Hierarchical Self-Organizing Mapâ€, Proceedings of the 14th IEEE Symposium on Computer-Based medical system CBMS, Vol: 26, No: 27, pp: 294-299, 2001.
[3] Rick Archibald, Kewei Chenb, Anne Gelbc and Rosemary Renaut, "Improving tissue segmentation of human brain MRI through preprocessing by the Gegenbauer reconstruction method ", Neuro image, Vol: 20, No: 1, pp: 489-502, 2003.
[4] Pham, D., Xu, C., Prince, J.,â€Current methods in medical image segmentation,†Annual Review of Biomedical Engineering Vol: 2, pp: 315–337, 2000.
[5] Panos kotsas, “Non-rigid Registration of medical images using an Automated methodâ€,World academy of science, Engineering and Technology , 2005.
[6] J.B.Antiine and Max A. Viergever, “A Survey of Medical Image Registrationâ€, Medical Image Analysis, Vol: 2, No: 1, pp: 1-36, 1998.
Downloads
Published
Issue
Section
License
Copyright (c) IJSRSET

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