Deformation based feature selection for Computer Aided Diagnosis of Alzheimer's Disease

Expert Systems with Applications

Volumn 40, Issue 5, 2013, Pages 1619-1628

  Savio, Alexandre ^a   Graña, Manuel ^a  

^a UNIVERSITY OF THE BASQUE COUNTRY UPV EHU   (Spain)

Author keywords

Alzheimer's disease; Computed Aided Diagnosis; Feature selection; Magnetic Resonance Imaging; Suppor Vector Machines

Indexed keywords

10-FOLD CROSS-VALIDATION; ALZHEIMER'S DISEASE; BHATTACHARYYA DISTANCE; BRAIN ANATOMY; BRAIN ATROPHY; CAD SYSTEM; CLASSIFICATION RESULTS; COMPUTED-AIDED DIAGNOSIS; DEFORMATION FIELD; DEFORMATION MEASURES; FEATURE EXTRACTION METHODS; FEATURE SELECTION METHODS; GROUP ANALYSIS; HEALTHY CONTROLS; MORPHOMETRY; PEARSON CORRELATION; SIGNIFICANCE MEASURES; VECTOR MACHINES;

COMPUTER AIDED DIAGNOSIS; CORRELATION METHODS; FEATURE EXTRACTION; MAGNETIC RESONANCE IMAGING; SUPPORT VECTOR MACHINES;

DEFORMATION;

EID: 84872022060     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2012.09.009     Document Type: Article

References (36)

1. Alzheimer's Association. 2011. Alzheimer's disease facts and figures. Alzheimer's and Dementia, 7 (2) (pp. 208-244).
2. P.G. Batchelor, M. Moakher, D. Atkinson, F. Calamante, and A. Connelly A rigorous framework for diffusion tensor calculus Magnetic Resonance in Medicine: Official Journal of the Society of Magnetic Resonance in Medicine / Society of Magnetic Resonance in Medicine 53 1 2005 221 225 http://www.ncbi.nlm.nih.gov/ pubmed/15690523 ISSN: 0740-3194. PMID: 15690523 (Pubitemid 40110496)
3. A. Bhattacharyya On a measure of divergence between two multinomial populations Sankhya: The Indian Journal of Statistics (1933-1960) 7 4 1946 401 406 http://www.jstor.org/stable/25047882 ISSN 0036-4452, Copyright 1946 Indian Statistical Institute
4. R. Chaves, J. Ramírez, J.M. Górriz, and C.G. Puntonet Association rule-based feature selection method for alzheimer?s disease diagnosis Expert Systems with Applications 39 14 2012 11766 11774 http://www.sciencedirect.com/science/article/pii/S0957417412006720 ISSN 0957-4174
5. G. ChTtelat, B. Desgranges, V. De La Sayette, F. Viader, F. Eustache, and J.-C. Baron Mapping gray matter loss with voxel-based morphometry in mild cognitive impairment Neuroreport 13 15 2002 1939 1943 http://www.ncbi.nlm.nih. gov/pubmed/12395096 ISSN 0959-4965, PMID: 12395096 (Pubitemid 35398965)
6. D. Chyzhyk, M. Graña, A. Savio, and J. Maiora Hybrid dendritic computing with kernel-LICA applied to alzheimer's disease detection in MRI Neurocomputing 75 1 2012 72 77 http://dx.doi.org/10.1016/j.neucom.2011.02.024 ISSN 0925-2312
7. J. Cohen Statistical power analysis for the behavioral sciences 1988 Routledge ISBN 9780805802832
8. A. Convit, J. de Asis, M.J. de Leon, C.Y. Tarshish, S. De Santi, and H. Rusinek Atrophy of the medial occipitotemporal, inferior, and middle temporal gyri in non-demented elderly predict decline to Alzheimer's disease Neurobiology of Aging 21 1 2000 19 26 http://www.ncbi.nlm.nih.gov/pubmed/10794844 ISSN 0197-4580, PMID: 10794844 (Pubitemid 30224781)
9. C. Davatzikos, Y. Fan, X. Wu, D. Shen, and S.M. Resnick Detection of prodromal alzheimer's disease via pattern classification of MRI Neurobiology of Aging 29 4 2008 514 523 ISSN 0197-4580, PMID: 17174012 PMCID: 2323584 (Pubitemid 351312821)
10. B.C. Dickerson, I. Goncharova, M.P. Sullivan, C. Forchetti, R.S. Wilson, and D.A. Bennett MRI-derived entorhinal and hippocampal atrophy in incipient and very mild alzheimer's disease Neurobiology of Aging 22 5 2001 747 754 http://www.ncbi.nlm.nih.gov/pubmed/11705634 ISSN 0197-4580. PMID: 11705634 (Pubitemid 33055614)
11. A. Gallix, J.M. Górriz, J. Ramírez, I.A. Illán, and E.W. Lang On the empirical mode decomposition applied to the analysis of brain SPECT images Expert Systems with Applications 39 18 2012 13451 13461 ISSN 0957-4174
12. E. Gerardin, G. ChTtelat, M. Chupin, R. Cuingnet, B. Desgranges, and H.-S. Kim Multidimensional classification of hippocampal shape features discriminates alzheimer's disease and mild cognitive impairment from normal aging NeuroImage 47 4 2009 1476 1486 http://www.sciencedirect.com/science/ article/pii/S1053811909005485 ISSN 1053-8119.
13. M. Graña, M. Termenon, A. Savio, A. Gonzalez-Pinto, J. Echeveste, and J.M. PTrez Computer aided diagnosis system for alzheimer disease using brain diffusion tensor imaging features selected by pearson's correlation Neuroscience Letters 502 3 2011 225 229 http://www.sciencedirect.com/science/ article/pii/S0304394011011268 ISSN 0304-3940.
14. D. Horínek, A. Varjassyová, and J. Hort Magnetic resonance analysis of amygdalar volume in Alzheimer's disease Current Opinion in Psychiatry 20 3 2007 273 277 (Pubitemid 46588301)
15. Joachims, T. (2005). A support vector method for multivariate performance measures. In: Proceedings of the 22nd International Conference on Machine Learning, (pp. 377-384). URL . (Pubitemid 43183356)
16. T. Kailath The divergence and bhattacharyya distance measures in signal selection IEEE Transactions on Communication Technology 15 1 1967 52 60 ISSN 0018-9332
17. J.A. Kaye, T. Swihart, D. Howieson, A. Dame, M.M. Moore, and T. Karnos Volume loss of the hippocampus and temporal lobe in healthy elderly persons destined to develop dementia Neurology 48 5 1997 1297 1304 http://www.ncbi.nlm. nih.gov/pubmed/9153461 ISSN 0028-3878. PMID: 9153461 (Pubitemid 27240552)
18. R.J. Killiany, T. Gomez-Isla, M. Moss, R. Kikinis, T. Sandor, and F. Jolesz Use of structural magnetic resonance imaging to predict who will get alzheimer's disease Annals of Neurology 47 4 2000 430 439 http://www.ncbi.nlm. nih.gov/pubmed/10762153 ISSN 0364-5134. PMID: 10762153 (Pubitemid 30194598)
19. Arno Klein, Jesper Andersson, Babak A. Ardekani, John Ashburner, Brian Avants, and Ming-Chang Chiang Evaluation of 14 nonlinear deformation algorithms applied to human brain mri registration NeuroImage 46 3 2009 786 802 http://www.sciencedirect.com/science/article/pii/S1053811908012974 ISSN 1053-8119.
20. S. Kloppel, C.M. Stonnington, C. Chu, B. Draganski, R.I. Scahill, and J.D. Rohrer Automatic classification of MR scans in Alzheimer's disease Brain 131 3 2008 681 689 http://brain.oxfordjournals.org/cgi/content/abstract/131/3/ 681 (Pubitemid 351294712)
21. N. Kriegeskorte, W.K. Simmons, P.S.F. Bellgowan, and C.I. Baker Circular analysis in systems neuroscience: the dangers of double dipping Nature Neuroscience 12 5 2009 535 540 http://dx.doi.org/10.1038/nn.2303 ISSN 1097-6256
22. N. Lepore, C. Brun, Y.Y. Chou, M.C. Chiang, R.A. Dutton, and K.M. Hayashi Generalized tensor-based morphometry of HIV/AIDS using multivariate statistics on deformation tensors IEEE Transactions on Medical Imaging 27 1 2008 129 141 http://www.ncbi.nlm.nih.gov/pubmed/18270068 ISSN 0278-0062. PMID: 18270068
23. O. Luaces, F. Taboada, G.M. Albaiceta, L.A. Domfnguez, P. Enrfquez, and A. Bahamonde Predicting the probability of survival in intensive care unit patients from a small number of variables and training examples Artificial Intelligence in Medicine 45 1 2009 63 76 http://www.ncbi.nlm.nih.gov/pubmed/ 19185475 ISSN 1873-2860. PMID: 19185475.
24. D.S. Marcus, T.H. Wang, J. Parker, J.G. Csernansky, J.C. Morris, and R.L. Buckner Open access series of imaging studies (OASIS): Cross-sectional MRI data in young, middle aged, nondemented, and demented older adults Journal of Cognitive Neuroscience 19 9 2007 1498 1507 http://www.ncbi.nlm.nih.gov/pubmed/ 17714011 ISSN 0898-929X. PMID: 17714011 (Pubitemid 47358152)
25. F.J. Martfnez-Murcia, J.M. Górriz, J. Raífrez, C.G. Puntonet, and D. Salas-González Computer aided diagnosis tool for Alzheimer?s disease based on Mann?Whitney?Wilcoxon U-Test Expert Systems with Applications 39 10 2012 9676 9685 http://www.sciencedirect.com/science/article/ pii/S0957417412004162 ISSN 0957-4174.
26. D. Medina, L. DeToledo-Morrell, F. Urresta, J.D.E. Gabrieli, M. Moseley, and D. Fleischman White matter changes in mild cognitive impairment and AD: A diffusion tensor imaging study Neurobiology of Aging 27 5 2006 663 672 http://www.ncbi.nlm.nih.gov/pubmed/16005548 ISSN 1558-1497. PMID: 16005548
27. P.T. Nelson, H. Braak, and W.R. Markesbery Neuropathology and cognitive impairment in alzheimer disease: A complex but coherent relationship Journal of Neuropathology and Experimental Neurology 68 1 2009 1 14 http://www.ncbi.nlm. nih.gov/pubmed/19104448 ISSN 0022-3069. PMID: 19104448
28. Nielsen, F., & Boltz, S., (2010). The Burbea-Rao and Bhattacharyya centroids. arxiv:1004.5049, URL .
29. C. Plant, S.J. Teipel, A. Oswald, C. Böhm, T. Meindl, and J. Mourao-Miranda Automated detection of brain atrophy patterns based on MRI for the prediction of alzheimer's disease NeuroImage 50 1 2010 162 174 http://www.sciencedirect.com/science/article/pii/S1053811909012312 ISSN 1053-8119
30. A. Savio Supervised classification using deformation-based features for alzheimer's disease detection on the oasis cross-sectional database Manuel Graña, Advances in knowledge-based and intelligent information and engineering systems 2012 2012 IOS Press
31. A. Savio, M.T. García-Sebastián, D. Chyzyk, C. Hernandez, M. Graña, and A. Sistiaga Neurocognitive disorder detection based on feature vectors extracted from VBM analysis of structural MRI Computers in Biology and Medicine 41 8 2011 600 610 http://www.sciencedirect.com/science/ article/pii/S0010482511001065 ISSN 0010-4825.
32. S.M. Smith, M. Jenkinson, M.W. Woolrich, C.F. Beckmann, T.E.J. Behrens, and H. Johansen-Berg Advances in functional and structural MR image analysis and implementation as FSL NeuroImage 23 Suppl 1 2004 S208 S219 http://www.ncbi.nlm. nih.gov/pubmed/15501092 ISSN 1053-8119. PMID: 15501092
33. Talairach, J., & Tournoux, P. (1988). Co-Planar Stereotaxic Atlas of the Human Brain: 3-D Proportional System: An Approach to Cerebral Imaging. Thieme, January. ISBN 0865772932.
34. S.J. Teipel, C. Born, M. Ewers, A.L.W. Bokde, M.F. Reiser, and H.-J. Möller Multivariate deformation-based analysis of brain atrophy to predict Alzheimer's disease in mild cognitive impairment NeuroImage 38 1 2007 13 24 http://www.sciencedirect.com/science/article/B6WNP-4P718MM-4/2/ a63c5d0de3f88f1da150b390cd97e0dc ISSN 1053-8119. (Pubitemid 47429985)
35. V.N. Vapnik Statistical learning theory 1998 Wiley-Interscience ISBN 0471030031
36. B.L. Welch The generalization of 'Student's' problem when several different population variances are involved Biometrika 34 1/2 1947 28 35 http://www.jstor.org/stable/2332510 ISSN 0006-3444. Copyright 1947 Biometrika Trust