Tractography density and network measures in Alzheimer'S disease

Proceedings - International Symposium on Biomedical Imaging

Volumn , Issue , 2013, Pages 692-695

  Prasad, Gautam ^a   Nir, Talia M ^a   Toga, Arthur W ^a   Thompson, Paul M ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Alzheimer's disease; connectivity matrix; Hadoop; MapReduce; network measures; ODF; tractography

Indexed keywords

ALZHEIMER'S DISEASE; CONNECTIVITY MATRIX; HADOOP; MAP-REDUCE; NETWORK MEASURES; ODF; TRACTOGRAPHY;

BRAIN; DIAGNOSIS; ELECTRIC NETWORK TOPOLOGY; MATRIX ALGEBRA; MEDICAL IMAGING; MULTIPROCESSING SYSTEMS; NEURODEGENERATIVE DISEASES;

FIBERS;

EID: 84881637728     PISSN: 19457928     EISSN: 19458452     Source Type: Conference Proceeding    
DOI: 10.1109/ISBI.2013.6556569     Document Type: Conference Paper

References (22)

1. S.E. Rose et al., "Loss of connectivity in Alzheimer's disease: an evaluation of white matter tract integrity with colour coded MR diffusion tensor imaging," Journal of Neurology, Neurosurgery & Psychiatry, vol. 69, no. 4, pp. 528-530, 2000.
2. M. Bozzali et al., "White matter damage in Alzheimer's disease assessed in vivo using diffusion tensor magnetic resonance imaging," Journal of Neurology, Neurosurgery & Psychiatry, vol. 72, no. 6, pp. 742-746, 2002. (Pubitemid 34557017)
3. S.G. Mueller et al., "Ways toward an early diagnosis in Alzheimer's disease: The Alzheimer's disease neuroimaging initiative (ADNI)," Alzheimer's and Dementia, vol. 1, no. 1, pp. 55-66, 2005. (Pubitemid 43348857)
4. P.A. Cook et al., "An automated approach to connectivity-based partitioning of brain structures," MICCAI, pp. 164-171, 2005. (Pubitemid 43828247)
5. N. Jahanshad et al., "Sex differences in the human connectome: 4-Tesla high angular resolution diffusion imaging (HARDI) tractography in 234 young adult twins," in IEEE ISBI, 2011, pp. 939-943.
6. J.E. Iglesias et al., "Robust brain extraction across datasets and comparison with publicly available methods," IEEE TMI, vol. 30, no. 9, pp. 1617-1634, 2011.
7. J.G. Sled et al., "A nonparametric method for automatic correction of intensity nonuniformity in MRI data," IEEE TMI, vol. 17, no. 1, pp. 87-97, 1998.
8. C.J. Holmes et al., "Enhancement of MR images using registration for signal averaging," JCAT, vol. 22, no. 2, pp. 324-333, 1998. (Pubitemid 28155214)
9. Jenkinson et al., "Improved optimization for the robust and accurate linear registration and motion correction of brain images," NeuroImage, vol. 17, no. 2, pp. 825-841, 2002. (Pubitemid 35317016)
10. B. Fischl et al., "Automatically parcellating the human cerebral cortex," Cerebral Cortex, vol. 14, no. 1, pp. 11-22, 2004. (Pubitemid 38018050)
11. S.M. Smith, "Fast robust automated brain extraction," HBM, vol. 17, no. 3, pp. 143-155, 2002. (Pubitemid 35253488)
12. A.D. Leow et al., "Statistical properties of jacobian maps and the realization of unbiased large-deformation nonlinear image registration," IEEE TMI, vol. 26, no. 6, pp. 822-832, 2007. (Pubitemid 46842917)
13. T. Nir et al., "Connectivity network breakdown predicts imminent volumetric atrophy in early mild cognitive impairment," MICCAI - MBIA, pp. 41-50, 2012.
14. I. Aganj et al., "A Hough transform global probabilistic approach to multiplesubject diffusion MRI tractography," MIA, vol. 15, no. 4, pp. 414-425, 2011.
15. P.J. Basser et al., "Microstructural and physiological features of tissues elucidated by quantitative-diffusion-tensor MRI," Journal of Magnetic Resonance-Series B, vol. 111, no. 3, pp. 209-219, 1996. (Pubitemid 126758682)
16. I. Aganj et al., "Reconstruction of the orientation distribution function in singleand multiple-shell Q-ball imaging within constant solid angle," Magnetic Resonance in Medicine, vol. 64, no. 2, pp. 554-566, 2010.
17. D.S. Tuch, "Q-ball imaging," Magnetic Resonance in Medicine, vol. 52, no. 6, pp. 1358-1372, 2004. (Pubitemid 39612825)
18. K.H. Fritzsche et al., "Opportunities and pitfalls in the quantification of fiber integrity: What can we gain from Q-ball imaging?," NeuroImage, vol. 51, no. 1, pp. 242 - 251, 2010.
19. J. Dean et al., "MapReduce: simplified data processing on large clusters," Communications of the ACM, vol. 51, no. 1, pp. 107-113, 2008.
20. M. Rubinov et al., "Complex network measures of brain connectivity: Uses and interpretations," NeuroImage, vol. 52, no. 3, pp. 1059-1069, 2010.
21. M. Daianu et al., "Analyzing the structural k-core of brain connectivity networks in normal aging and Alzheimer's disease," MICCAI - NIBAD, 2012.
22. H. Lee et al., "Discriminative persistent homology of brain networks," in IEEE ISBI, 2011, pp. 841-844.