Image Processing Technique for Brain Abnormality Detection

Ashraf  Anwar; Arsalan Iqbal

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Image Processing Technique for Brain Abnormality Detection

Ashraf Anwar, Arsalan Iqbal

Pages - 51 - 61 | Revised - 15-01-2013 | Published - 28-02-2013

Published in International Journal of Image Processing (IJIP)

Volume - 7 Issue - 1 | Publication Date - February 2013 Table of Contents

MORE INFORMATION

References | Abstracting & Indexing

KEYWORDS

Alzheimer, Bilinear Interpolation, Brain Imaging, Cerebral Cortex, Image Registration, Neuroinformatics.

ABSTRACT

Medical imaging is expensive and very much sophisticated because of proprietary software and expert personalities. This paper introduces an inexpensive, user friendly general-purpose image processing tool and visualization program specifically designed in MATLAB to detect much of the brain disorders as early as possible. The application provides clinical and quantitative analysis of medical images. Minute structural difference of brain gradually results in major disorders such as schizophrenia, Epilepsy, inherited speech and language disorder, Alzheimer's dementia etc. Here the main focusing is given to diagnose the disease related to the brain and its psychic nature (Alzheimer’s disease).

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REFERENCES

Aubert, Gilles, and Kornprobst, Pierre (2006), “Mathematical Problems in Image Processing:Partial Differential Equations and the Calculus of Variations (Applied Mathematical Sciences),2nd ed.”, Springer: USA. ISBN-10: 0-387-32200-0 \| ISBN-13: 978-0387-32200-1.

Debaggio, Thomas (2002). “Losing My Mind, An Intimate Look At Life With Alzheimer’s, 1st edition”, Free Press: USA. ISBN-10: 07432-05650 \| ISBN-13: 978-0743205658.

Gilat, Amos (2008). “Matlab: An Introduction with Applications, 3rd ed.”, Wiley: USA. ISBN-10:0470108770 \| ISBN-13: 978-0-470-10877-2.

Gonzalez, Rafael C., and Woods, Richard E. (2007). “Digital Image Processing, 3rd ed.”,Prentice Hall: USA. ISBN-10: 013168728X \| ISBN-13: 978-0131687288.

Goyal, Soniya, Shekhar, Sudhanshu, and Biswas, K. (2011). “Automatic Detection of Brain Abnormalities and Tumor Segmentation in MRI Sequences”. Image and Vision Computing New Zealand Conference, IVCNZ 2011: New Zealand.

Jain, Anil K (1988), “Fundamentals of Digital Image Processing (Prentice Hall Information and System Sciences Series)”, Prentice Hall: USA. ISBN-10: 0133361659.

Kuhn, Daniel, and Bennett, David (2003). “Alzheimer’s Early Stages: First Steps for Family,Friends, and Caregivers, 2nd ed.”, Hunter House: USA. ISBN-10: 0897933974 \| ISBN-13:978-0-89793-397-1.

Lashkari, AmirEhsan (2010). “A Neural Network Based Method for Brain Abnormality Detection in MR Images Using Zernike Moments and Geometric Moments”. International Journal of Computer Applications, vol. 4, no. 7, July 2010. ISSN: 0975-8887.

Marshall, Louise H., and Magoun, Horace Winchell (1998). “Discoveries in the Human Brain:Neuroscience Prehistory, Brain Structure, and Function, 1st ed.”, Humana Press: USA.ISBN-10: 0896034356 \| ISBN-13: 978-0896034358.

Reddy, A. Ramaswamy, Prasad, E. V., and Reddy, L. S. (2012). “Abnormality Detection of Brain MRI Images Using a New Spatial FCM Algorithm”. International Journal of Engineering Science & Advanced Technology, vol. 2, no. 1, pp. 1-7. ISSN: 2250-3676.

Shih, Frank Y. (2010), “Image Processing and Pattern Recognition: Fundamentals and Techniques”, Wiley-IEEE Press: USA. ISBN-10: 0-470-40461-2, ISBN-13: 978-0-470-40461-4.

Sousa, David A. (2006). “How the Special Needs Brain Learns, 2nd ed,”, Crowin Press: USA.ISBN-10: 1-4129-4986-6 \| ISBN-13: 978-1412949866.

MANUSCRIPT AUTHORS

Associate Professor Ashraf Anwar

University of Atlanta - United States of America

prof1aa@yahoo.com

Mr. Arsalan Iqbal

University of Atlanta - United States of America

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PUBLICATION VIDEOS

Aubert, Gilles, and Kornprobst, Pierre (2006), “Mathematical Problems in Image Processing:Partial Differential Equations and the Calculus of Variations (Applied Mathematical Sciences),2nd ed.”, Springer: USA. ISBN-10: 0-387-32200-0 \| ISBN-13: 978-0387-32200-1.

Debaggio, Thomas (2002). “Losing My Mind, An Intimate Look At Life With Alzheimer’s, 1st edition”, Free Press: USA. ISBN-10: 07432-05650 \| ISBN-13: 978-0743205658.

Gilat, Amos (2008). “Matlab: An Introduction with Applications, 3rd ed.”, Wiley: USA. ISBN-10:0470108770 \| ISBN-13: 978-0-470-10877-2.

Gonzalez, Rafael C., and Woods, Richard E. (2007). “Digital Image Processing, 3rd ed.”,Prentice Hall: USA. ISBN-10: 013168728X \| ISBN-13: 978-0131687288.

Goyal, Soniya, Shekhar, Sudhanshu, and Biswas, K. (2011). “Automatic Detection of Brain Abnormalities and Tumor Segmentation in MRI Sequences”. Image and Vision Computing New Zealand Conference, IVCNZ 2011: New Zealand.

Jain, Anil K (1988), “Fundamentals of Digital Image Processing (Prentice Hall Information and System Sciences Series)”, Prentice Hall: USA. ISBN-10: 0133361659.

Kuhn, Daniel, and Bennett, David (2003). “Alzheimer’s Early Stages: First Steps for Family,Friends, and Caregivers, 2nd ed.”, Hunter House: USA. ISBN-10: 0897933974 \| ISBN-13:978-0-89793-397-1.

Lashkari, AmirEhsan (2010). “A Neural Network Based Method for Brain Abnormality Detection in MR Images Using Zernike Moments and Geometric Moments”. International Journal of Computer Applications, vol. 4, no. 7, July 2010. ISSN: 0975-8887.

Marshall, Louise H., and Magoun, Horace Winchell (1998). “Discoveries in the Human Brain:Neuroscience Prehistory, Brain Structure, and Function, 1st ed.”, Humana Press: USA.ISBN-10: 0896034356 \| ISBN-13: 978-0896034358.

Reddy, A. Ramaswamy, Prasad, E. V., and Reddy, L. S. (2012). “Abnormality Detection of Brain MRI Images Using a New Spatial FCM Algorithm”. International Journal of Engineering Science & Advanced Technology, vol. 2, no. 1, pp. 1-7. ISSN: 2250-3676.

Shih, Frank Y. (2010), “Image Processing and Pattern Recognition: Fundamentals and Techniques”, Wiley-IEEE Press: USA. ISBN-10: 0-470-40461-2, ISBN-13: 978-0-470-40461-4.

Sousa, David A. (2006). “How the Special Needs Brain Learns, 2nd ed,”, Crowin Press: USA.ISBN-10: 1-4129-4986-6 \| ISBN-13: 978-1412949866.