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Article:Synergistic Study of Alzheimer Diseased Brain MRI with PET and SPECT Images using Shape based Registration and Fuzzy-Dempster Shafer Evidence Accumulation Model

by Dipankar Ray, D Dutta Majumder, Amit Das
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 12 - Number 7
Year of Publication: 2010
Authors: Dipankar Ray, D Dutta Majumder, Amit Das
10.5120/1691-2120

Dipankar Ray, D Dutta Majumder, Amit Das . Article:Synergistic Study of Alzheimer Diseased Brain MRI with PET and SPECT Images using Shape based Registration and Fuzzy-Dempster Shafer Evidence Accumulation Model. International Journal of Computer Applications. 12, 7 ( December 2010), 18-25. DOI=10.5120/1691-2120

@article{ 10.5120/1691-2120,
author = { Dipankar Ray, D Dutta Majumder, Amit Das },
title = { Article:Synergistic Study of Alzheimer Diseased Brain MRI with PET and SPECT Images using Shape based Registration and Fuzzy-Dempster Shafer Evidence Accumulation Model },
journal = { International Journal of Computer Applications },
issue_date = { December 2010 },
volume = { 12 },
number = { 7 },
month = { December },
year = { 2010 },
issn = { 0975-8887 },
pages = { 18-25 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume12/number7/1691-2120/ },
doi = { 10.5120/1691-2120 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:01:02.135968+05:30
%A Dipankar Ray
%A D Dutta Majumder
%A Amit Das
%T Article:Synergistic Study of Alzheimer Diseased Brain MRI with PET and SPECT Images using Shape based Registration and Fuzzy-Dempster Shafer Evidence Accumulation Model
%J International Journal of Computer Applications
%@ 0975-8887
%V 12
%N 7
%P 18-25
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Synergistic studies of anatomical to functional imaging provide some additional information which is not always available in either of the two individual images. In case of Alzheimer disease, synergistic study of MR-PET or MR-SPECT brain images provides clinical information of functional behaviour of effected brain regions with the pathological status of corresponding tissues. But it requires alignment and fusion of two different types of imaging modalities. In our endeavour we have suggested a shape based generalised transformation model for the brain image registration and implemented it with radial basis function (RBF) neural network. For fusion we have suggested a two step process. Firstly, we have used fuzzy c-means to segment the candidate images and to assign basic probability assignment (bpa) to each pixel corresponding to each cluster. Then on the basis of these weightage (bpa) we have proposed Dempster Shafer evidence accumulation concept to combine each pixel to generate a fused image. From the experimental results it is evident that fused MR-PET and MR-SPECT images can provide sufficient information for the synergistic studies of Alzheimer Diseased brain images.

References
  1. H.Henrik Ehrsson,Johann P. Kuhtz-Buschbeck, and Hans Forssberg, Brain Regions Controlling Nonsynergistic versus Synergistic Movement of the Digits: a Functional Magnetic Resonance Imaging Study, The Jr. of Neuroscience, June 15, 2002, Vol 22(12), pp 5074-5080.
  2. Pascal Kurosinski. Mathias Guggisberg, and Jurgen Gotz, Alzheimer's and Parkinson's disease – overlapping or synergistic pathologies?, Trends in Molecular Medicine, Vol 8(1), January 2002, pp 3-5.
  3. Medha V. Wyawahare, Dr. Pradeep M. Patil, and Hemant K. Abhyankar, Image Registration Techniques: An overview, International Journal of Signal Processing, Image Processing and Pattern Recognition Vol. 2, No.3, September 2009.
  4. G Shafer. A Mathematical Theory of Evidence. Princeton University Press, 1976.
  5. C R Parikh, M J Pont, N B Jones, Application of Dempster-Shafer theory in condition monitoring systems: A Case study, Patter Recognition Letters, 2001,22(6-7), 777-785.
  6. D Dutta Majumder, A Study on a Mathematical Theory of Shapes In Relation To Pattern Recognition and Computer Vision, Indian Journal of Theoretical Physics 43(1995) 19-30.
  7. M Bhattacharya, D Dutta Majumder, Registration of CT and MR images of Alzheimer’s patient: A shape theoretic approach. Pattern Recognition Letters, vol. 21, pp. 531-548, 2000.
  8. M J D Powell. Radial basis functions for multivariable interpolation: a review. In Algorithms for Approximation. 143-167. Clarendon Press, Oxford, 1987.
  9. J Timothy Ross, Fuzzy Logic with Engineering Applications, McGraw-Hill International, 1997.
  10. J C Bezdek, R J Hathaway, M J Sabin and W T Tucker, “Convergence theory for fuzzy C-means: counter examples and repairs”, IEEE Trans. Syst. Man Cybern, 1987, 17873–7.
  11. G Beni and X Liu X, A least biased fuzzy clustering method IEEE Trans. Pattern Anal. Machine Intell. 1994, 16 954–60.
  12. B Fritzke, Supervised learning with growing cell structures. In J.D.Cowan, G.Tesauro and J.Alspector. Editor, Advances in Neural Information Processing Systems, Vol.6, 255-262, Morgan Kaufmann. Publishers Inc., San Mateo, CA, 1994.
  13. R Keys, “Cubic Convolution Interpolation for Digital Image Processing”, IEEE Transactions on Acoustics, Speech and Signal Processing, Vol.ASSP-29, No.6, December 1981, p.1155.
Index Terms

Computer Science
Information Sciences

Keywords

Multimodal Medical Image Registration Synergistic study of AD Medical Image Fusion.