Multivariate varying coefficient models for DTI tract statistics

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

Volumn 6361 LNCS, Issue PART 1, 2010, Pages 690-697

  Zhu, Hongtu ^a   Styner, Martin ^a   Li, Yimei ^a   Kong, Linglong ^a   Shi, Yundi ^a   Lin, Weili ^a   Coe, Christopher ^a   Gilmore, John H ^a  

^a IL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CORPUS CALLOSUM; COVARIATES; DIFFUSION PROPERTIES; DIFFUSION TENSOR IMAGING; ESTIMATION THEORY; EXISTING METHOD; FIBER BUNDLES; FIBER TRACTS; HYPOTHESIS TESTING; IN-VIVO; INDEPENDENT ANALYSIS; INDIVIDUAL FIBERS; LOCAL TESTS; NEURODEVELOPMENT; P-VALUES; POLYNOMIAL KERNELS; RESAMPLING METHOD; RHESUS MONKEY; STATISTICAL FRAMEWORK; STATISTICAL INFERENCE; TESTING HYPOTHESIS; TIME EFFECT; TISSUE PROPERTIES; VARYING COEFFICIENT MODEL; WHITE MATTER FIBERS;

DIFFUSION; FIBERS; MAGNETIC RESONANCE IMAGING; MEDICAL COMPUTING; MEDICAL IMAGING; MULTIVARIABLE SYSTEMS; STATISTICAL TESTS; STATISTICS;

TENSORS;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; BRAIN; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; DIFFUSION TENSOR IMAGING; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; MULTIVARIATE ANALYSIS; MYELINATED NERVE; NERVE FIBER; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS; STATISTICAL DISTRIBUTION; THREE DIMENSIONAL IMAGING; ULTRASTRUCTURE;

ALGORITHMS; AXONS; BRAIN; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; DIFFUSION TENSOR IMAGING; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MODELS, NEUROLOGICAL; MULTIVARIATE ANALYSIS; NERVE FIBERS, MYELINATED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; STATISTICAL DISTRIBUTIONS;

EID: 84861328527     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15705-9_84     Document Type: Conference Paper

References (16)

1. Smith, S.M., Jenkinson, M., Johansen-Berg, H., Rueckert, D., Nichols, T.E., Mackay, C.E., Watkins, K.E., Ciccarelli, O., Cader, M., Matthews, P., Behrens, T.E.: Tractbased spatial statistics: voxelwise analysis of multi-subject diffusion data. NeuroImage 31, 1487-1505 (2006)
2. O'Donell, L.J., Westin, C.F., Golby, A.J.: Tract-based morphometry for white matter group analysis. NeuroImage 45, 832-844 (2009)
3. Snook, L., Plewes, C., Beaulieu, C.: Voxel based versus region of interest analysis in diffusion tensor imaging of neurodevelopment. NeuroImage 34, 243-252 (2007)
4. Snook, L., Paulson, L.A., Roy, D., Phillips, L., Beaulieu, C.: Diffusion tensor imaging of neurodevelopment in children and young adults. NeuroImage 26, 1164-1173 (2005)
5. Worsley, K.J., Taylor, J.E., Tomaiuolo, F., Lerch, J.: Unified univariate and multivariate random field theory. Neuroimage 23, 189-195 (2004)
6. Hecke, W.V., Sijbers, J., Backer, S.D., Poot, D., Parizel, P.M., Leemans, A.: On the construction of a ground truth framework for evaluating voxel-based diffusion tensor mri analysis methods. NeuroImage 46, 692-707 (2009)
7. Jones, D.K., Symms, M.R., Cercignani, M., Howard, R.J.: The effect of filter size on vbm analyses of dt-mri data. NeuroImage 26, 546-554 (2005)
8. Yushkevich, P.A., Zhang, H., Simon, T., Gee, J.C.: Structure-specific statistical mapping ofwhite matter tracts. Neuroimage 41, 448-461 (2008)
9. Goodlett, C.B., Fletcher, P.T., Gilmore, J.H., Gerig, G.: Group analysis of dti fiber tract statistics with application to neurodevelopment. NeuroImage 45, S133-S142 (2009)
10. Gouttard, S., Prastawa, M., Bullitt, E., Lin, W.L., Goodlett, C., Gerig, G.: Constrained data decomposition and regression for analyzing healthy aging from fiber tract diffusion properties. In: Yang, G.-Z., Hawkes, D., Rueckert, D., Noble, A., Taylor, C. (eds.) MICCAI 2009. LNCS, vol. 5761, pp. 321-328. Springer, Heidelberg (2009)
11. Zhu, H.T., Styner, M., Tang, N.S., Liu, Z.X., Lin, W.L., Gilmore, J.: Frats: Functional regression analysis of dti tract statistics. IEEE Transactions on Medical Imaging 29, 1039-1049 (2010)
12. Zhu, H.T., Li, R.Z., Kong, L.N., Styner, M., Gilmore, J.: Multivariate varying coefficient models with applications for dti tract statistics. Technical report, University of the North Carolina (2010)
13. Fan, J., Zhang, W.: Statistical methods with varying coefficient models. Statistics and Its Interface 2 (2008)
14. Fan, J., Gijbels, I.: Local Polynomial Modelling and Its Applications. Chapman and Hall, London (1996)
15. Joshi, S., Davis, B., Jomier, M., Gerig, G.: Unbiased diffeomorphic atlas construction for computational anatomy. Neuroimage 23, S151-S160 (2004)
16. Song, S.K., Sun, S.W., Ju, W.K., Lin, S.J., Cross, A.H., Neufeld, A.H.: Diffusion tensor imaging detects and differentiates axon and myelin degeneration in mouse optic nerve after retinal ischemia. Neuroimage 20, 1714-1722 (2003)