ICA-based automatic classification of magnetic resonance images from ADNI data

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6330 LNBI, Issue PART 3, 2010, Pages 340-347

  Yang, Wenlu ^a,b   Chen, Xinyun ^a   Xie, Hong ^a   Huang, Xudong ^b  

^a SHANGHAI MARITIME UNIVERSITY   (China)

^b BRIGHAM AND WOMEN S HOSPITAL   (United States)

Author keywords

Alzheimer's disease; independent component analysis; magnetic resonance imaging; mild cognitive impairment; support vector machine

Indexed keywords

ALZHEIMER'S; ALZHEIMER'S DISEASE; AUTOMATIC CLASSIFICATION; COGNITIVE IMPAIRMENT; CONTROL SUBJECT; FASTICA; INDEPENDENT COMPONENTS; MAGNETIC RESONANCE IMAGES; MILD COGNITIVE IMPAIRMENT; NEURO-IMAGING; NORMAL CONTROLS; NOVEL METHODS; STATISTICAL PARAMETRIC MAPPING;

COMPUTER SIMULATION; DISEASES; FEATURE EXTRACTION; IMAGE PROCESSING; INTELLIGENT COMPUTING; MAGNETIC RESONANCE IMAGING; MAGNETISM; RESONANCE; SUPPORT VECTOR MACHINES;

INDEPENDENT COMPONENT ANALYSIS;

EID: 78649610092     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15615-1_41     Document Type: Conference Paper

References (20)

1. Jack, C.R., Bernstein, M.A., et al.: The Alzheimer's Disease Neuroimaging Initiative (ADNI): MRI methods. J. Magn. Reson. Imaging 27(4), 685-691 (2008)
2. Walhovd, K.B., Fjell, A.M., et al.: Combining MR Imaging, Positron-Emission Tomography, and CSF Biomarkers in the Diagnosis and Prognosis of Alzheimer Disease. AJNR Am. J. Neuroradiol. (2010)
3. Jack, C.R., Petersen, R.C., Obrien, P.C., Tangalos, E.G.: MR-based hippocampal volumetry in the diagnosis of Alzheimers-disease. Neurology 42(1), 183-188 (1992)
4. Ashburner, J., Friston, K.J.: Voxel-based morphometry - The methods. Neuroimage 11(6), 805-821 (2000)
5. Magnin, B., Mesrob, L., et al.: Support vector machine-based classification of Alzheimer's disease from whole-brain anatomical MRI. Neuroradiology 51(2), 73-83 (2009)
6. Chupin, M., Gerardin, E., et al.: Fully automatic hippocampus segmentation and classification in Alzheimer's disease and mild cognitive impairment applied on data from ADNI. Hippocampus 19(6), 579-587 (2009)
7. Zhou, L., Lieby, P., et al.: Hippocampal shape analysis for Alzheimer's disease using an efficient hypothesis test and regularized discriminative deformation. Hippocampus 19(6), 533-540 (2009)
8. Braak, H., Braak, E.: Staging of Alzheimer-related cortical destruction. Int. Psychogeriatr 9(suppl. 1), 257-261 (1997); discussion 69-72
9. Giesel, F.L., Thomann, P.A., et al.: Comparison of manual direct and automated indirect measurement of hippocampus using magnetic resonance imaging. European Journal of Radiology (66), 268-273 (2008)
10. Hua, X., Leow, A.D., et al.: Tensor-based morphometry as a neuroimaging biomarker for Alzheimer's disease: an MRI study of 676 AD, MCI, and normal subjects. Neuroimage 43(3), 458-469 (2008)
11. Xu, L., Pearlson, G., Calhoun, V.D.: Joint source based morphometry identifies linked gray and white matter group differences. Neuroimage 44(3), 777-789 (2009)
12. Xu, L., Groth, K.M., et al.: Source-based morphometry: the use of independent component analysis to identify gray matter differences with application to schizophrenia. Hum. Brain Mapp. 30(3), 711-724 (2009)
13. Kloppel, S., Stonnington, C.M., et al.: Automatic classification of MR scans in Alzheimer's disease. Brain 131(Pt. 3), 681-690 (2008)
14. McKeown, M.J., Sejnowski, T.J.: Independent component analysis of fMRI data: Examining the assumptions. Human Brain Mapping 6(5-6), 368-372 (1998)
15. Marcus, D.S., et al.: 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), 1498-1507 (2007)
16. Hyvarinen, A.: Fast and robust fixed-point algorithms for independent component analysis. IEEE Transactions on Neural Networks 10(3), 626-634 (1999)
17. Talairach, J., Tournoux, P.: Co-planar Stereotaxic Atlas of the Human Brain. Thieme Medical, New York (1988)
18. Calhoun, V.D., Adali, T., et al.: Spatial and temporal independent component analysis of functional MRI data containing a pair of task-related waveforms. Human Brain Mapping 13(1), 43-53 (2001) (Pubitemid 32374513)
19. Cortes, C., Vapnik, V.: SUPPORT-VECTOR NETWORKS. Machine Learning 20(3), 273-297 (1995)
20. Gutman, B., Wang, Y., et al.: Disease classification with hippocampal shape invariants. Hippocampus 19(6), 572-578 (2009)