Mehran University Research Journal Of Engineering &
Technology (HEC Recognized In Category "X")
Publishing Since 1982.

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Article Information  
Application of Image Processing Algorithms for Brain Tumor Analysis in 2D and 3D Leading to Tumor’s Positioning in Skull: Overview

Keywords: Segmentation, MATLAB, 3D Slicer, Brain tumor, Volume, Skull.

Mehran University Research Journal of Engineering & Technology

Volume 36 ,  Issue 1


1. Chris, A.C., Alex, P.Z., and Alan, C.E., "Automatic Generation of Training Data for Brain Tissue Classification from MRI", Medical Image Computing and Computer-Assisted Intervention-book, McGill University, Canada, 2002
2. Moon, N., Bullitt, E., Leemput, K., and Gerig, G., "Automatic Brain and Tumor Segmentation", MICCAI, Medical Image Computing and Computer-Assisted Intervention-book, LNCS Volume 2489, pp. 372-379, Canada, 2002.
3. Somasundaram, K., and Kalavathi, P., "Analysis of Imaging Artifacts in MR Brain Images", Oriental Journal of Computer Science & Technology, [ISSN: 0974-6471], Volume 5, No. 1, pp. 135-141, India, June,2012.
4. Keller, P., "Basic Principles of MR Imaging", Book on GE Medical Systems, Milwaukee, 1988.
5. Eric, C.W., Thomas, T.L., Wen-Ming, L. Lawrence, R.F., and Richard, B.B., "T1 and T2 Selective, Method for Improved SNR in CSF-Attenuated Imaging: T2-FLAIR", Journal on Magnetic Resonance in Medicine, Volume 45, pp. 529-532, California, 2001
6. Corso, J.J., Sharon, E., Dube, S., El-Saden, Z., Sinha, U., and Yuille, A., "Efficient Multilevel Brain Tumor Segmentation with Integrated Bayesian Model Classification Inverse Filtering", IEEE Transactions on Medical Images, Volume 27, pp. 629-640,USA, 2008
7. David, T.G., Arya, N., Ron, K.,Noby, H., Lauren, J., O’Donnell, W., Eric, L., Grimson, F.A., Jolesz, P.M., Black, W.M., and Wells-III, "An Integrated Visualization System for Surgical Planning and Guidance Using Image Fusion and an Open MR", Journal of Magnetic Resonance Imaging, Volume13, pp. 967-975, 2001.
8. George, E.B., "MRI Brain Image Enhancement Using Filtering Techniques", International Journal of Computer Science & Engineering Technology, [ISSN: 2229-3345], Volume 3, No. 9, September, 2012
9. Kaleem, K., Sanaullah, M., Hussain, M.A., Jaffar, M.A., Tae-Sun, C., "Segmentation of Brain Tumor Tissue Using Marker Controlled Watershed Transform Method", Emerging Trends and Applications in Information Communication Technologies, Journal of Communications in Computer & Information Science, Volume 281, pp 222-227,Berlin, 2012.
10. Tariq, M., Khawaja, A., and Hussain, M., "Image Processing with the Specific Focus on Early Tumor Detection", International Journal of Machine Learning and Computing, Volume 3, No. 5, Singapore, October, 2013.
11. Lau, P.Y., Voon, F.C.T., and Ozawa, S., "The Detection and Visualization of Brain Tumors on T2-Weighted MRI Images using Multi Parameter Feature Blocks", Proceedings of IEEE 27th Annual Conference on Engineering in Medicine and Biology, pp. 5104-5107, Shanghai, 2005.
12. Chowdhry, S., Babu, G.A., and Rani, M.U., "Gray-Level Morphological Operations for Image Segmentation and Tracking Edges on Medical Applications", International Journal of Computer Science and Network Solutions [Online], Volume 9, pp. 131-136, July, 2009.
13. Jones, R., and Svalbe, I., "Algorithms for the Decomposition of Gray-Scale Morphological Operation", IEEE Transactions on Pattern Analysis Machine Intelligence, Volume16, pp. 581-588, Illinios,USA, 2004.
14. Vincent, L., "Morphological Grayscale Reconstruction in Image Analysis: Applications and Efficient Algorithms", IEEE Transactions on Image Processing, Volume 2, pp. 176-201, USA, 1993
15. Tariq, M., Andleeb, S., and Siddiqi, A.A., "Effective Procedure of Solid cum Cystic Brain Tumor Segmentation through MATLAB, the Environment Monitor", Journal of Engineering, Sciences & Technology, Volume XV, [ISSN1684-8012], Pakistan, May-June 2015.
16. Macenko, M., Celenk, M., and Ma, L.M., "Lesion Detection using Morphological Watershed Segmentation and Model Based Inverse Filtering", International Conference on Pattern Recognition, Volume 4, pp. 679- 682, Hong Kong, 2006.
17. Siddiqi, A.A., Khawaja, A., and Tariq, T., "3DVolume Representation of Brain Tumor Using Image Processing", IEEE Conference on Signal and Image Processing Applications, Kaula Lumpur, Malaysia, 16-18 November, 2011.
18. Timothy, S.N., and Yi, H., "A Survey of the Marching Cubes Algorithm", Journal on Computers & Graphics, Volume 30, pp. 854-879, North Carolina, 2006.
19. Siddiqi, A.A., Khawaja, A., and Tariq, M., "3D Representation of Human Skull Bearing the Tumor Using Image Processing", IEEE International Conference on Computational Intelligence, Communication Systems and Networks,Thailand, 24-26 July,2012.
20. Murugavalli, S., and Rajamani, V., "An Improved Implementation of Brain Tumor Detection Using Segmentation Based on Neuro Fuzzy Technique", Journal of Computer Science, Science Publication, Volume 3, No. 3, pp.841-846, 2007.
21. 3D Slicer Documentation, User Guide,
22. Tharin, S.M.D., "Functional Brain Mapping and its Applications to Neuro Surgery", Department of Neurosurgery, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, August 30, 2006