White matter bundle registration and population analysis based on Gaussian processes

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

Volumn 6801 LNCS, Issue , 2011, Pages 320-332

  Wassermann, Demian ^a   Rathi, Yogesh ^a   Bouix, Sylvain ^a   Kubicki, Marek ^a   Kikinis, Ron ^a   Shenton, Martha ^a   Westin, Carl Fredrik ^a  

^a BRIGHAM AND WOMEN S HOSPITAL   (United States)

Author keywords

Diffusion MRI; Gaussian Processes; Registration; White Matter Fiber Tracts

Indexed keywords

ANATOMICAL LANDMARKS; ATLAS GENERATION; DENSITY MAPS; FIBER BUNDLES; GAUSSIAN PROCESSES; IN-VIVO; INNER PRODUCT; PARAMETER SPACES; PARAMETRIC MODELS; PARAMETRIZATIONS; POPULATION ANALYSIS; REGISTRATION; REGISTRATION ALGORITHMS; REGISTRATION PROCESS; RESAMPLING; SIMILARITY MEASURE; WHITE MATTER; WHITE MATTER TRACTS; WHITE-MATTER FIBER TRACTS;

ALGORITHMS; DATA PROCESSING; GAUSSIAN NOISE (ELECTRONIC); MAGNETIC RESONANCE IMAGING; MEDICAL IMAGING;

GAUSSIAN DISTRIBUTION;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; BRAIN; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; DIFFUSION TENSOR IMAGING; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; METHODOLOGY; MYELINATED NERVE; NORMAL DISTRIBUTION; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL; ULTRASTRUCTURE;

ALGORITHMS; BRAIN; COMPUTER SIMULATION; DIFFUSION TENSOR IMAGING; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MODELS, BIOLOGICAL; MODELS, STATISTICAL; NERVE FIBERS, MYELINATED; NORMAL DISTRIBUTION; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 80052315322     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-22092-0_27     Document Type: Conference Paper

References (23)

1. Adler, R.J., Taylor, J.E.: Random Fields and their Geometry. Springer, Heidelberg (2007)
2. Allassonnière, S., Amit, Y., Trouvé, A.: Towards a coherent statistical framework for dense deformable template estimation. J. of the Royal Stat. Soc. B 69(1), 3-29 (2007)
3. Arsigny, V., Commowick, O., Ayache, N., Pennec, X.: A fast and log-euclidean polyaffine framework for locally linear registration. JMIV 33(2), 222-238 (2009)
4. Basser, P., Pajevic, S., Pierpaoli, C., Duda, J., Aldroubi, A.: In vivo fiber tractography using DT-MRI data. Magnetic Resonance in Medicine 44(4), 625-632 (2000)
5. Beg, M., Miller, M., Trouvé, A., Younes, L.: Computing large deformation metric mappings via geodesic flows of diffeomorphisms. IJCV 61(2), 139-157 (2005)
6. Bouix, S., Rathi, Y., Sabuncu, M.: Building an average population hardi atlas. In: MICCAI Workshop on Computational Diffusion MRI (2010)
7. Bürgel, U., Amunts, K., Hoemke, L., Mohlberg, H., Gilsbach, J.M., Zilles, K.: White matter fiber tracts of the human brain: Three-dimensional mapping at microscopic resolution, topography and intersubject variability. NeuroImage 29(4), 1092-1105 (2006)
8. Corouge, I., Fletcher, P.T., Joshi, S., Gouttard, S., Gerig, G.: Fiber tract-oriented statistics for quantitative diffusion tensor mri analysis. MIA 10(5), 786-798 (2006)
9. Durrleman, S., Fillard, P., Pennec, X., Trouv È, A., Ayache, N.: Registration, atlas estimation and variability analysis of white matter fiber bundles modeled as currents. NI (2010), http://www.sciencedirect.com/science/ article/B6WNP-51K9388-1/2/2094f276b437215fa1da04614514f48b
10. Goodlett, C.B., Fletcher, P.T., Gilmore, J.H., Gerig, G.: Group analysis of dti fiber tract statistics with application to neurodevelopment. NeuroImage 45(1, S1), S133-S142 (2009), http://www.sciencedirect.com/science/article/B6WNP- 4TXF7Y2-3/2/63144928840f25440fbdfac042c2b2b4
11. Holden, M.: A review of geometric transformations for nonrigid body registration. TMI 27(1), 111-128 (2008)
12. Hua, K., Zhang, J., Wakana, S., Jiang, H., Li, X., Reich, D.S., Calabresi, P.A., Pekar, J.J., van Zijl, P.C.M., Mori, S.: Tract probability maps in stereotaxic spaces: Analyses of white matter anatomy and tract-specific quantification. NeuroImage 39(1), 336-347 (2008), http://www.sciencedirect.com/ science? ob=MImg& imagekey=B6WNP- 4PF1WFR-5-N& cdi=6968& user=6068170& orig=search& coverDate=01/ 01/2008& sk=999609998&view=c&wchp=dGLbVlz-zSkzS&md5= de42ccbb978bccd0c2bf38c987ee787e&ie=/sdarticle.pdf
13. Joshi, S., Davis, B., Jomier, M., Gerig, G.: Unbiased diffeomorphic atlas construction for computational anatomy. NeuroImage 160, S151-S160 (2004), http://www.sciencedirect.com/science/article/B6WNP-4DCMGVT-3/2/ 77a14449f2c349bbfc9c36758645eaac
14. Kimeldorf, G., Wahba, G.: A correspondence between Bayesian estimation on stochastic processes and smoothing by splines. Ann. of Math. Stat. 41(2), 495-502 (1970)
15. Kubicki, M., Westin, C., Maier, S., Frumin, M., Nestor, P., Salisbury, D., Kikinis, R., Jolesz, F., McCarley, R., Shenton, M.: Uncinate Fasciculus Findings in Schizophrenia: A Magnetic Resonance Diffusion Tensor Imaging Study. American J Psychiatry 159(5), 813 (2002)
16. Leemans, A., Sijbers, J., Backer, S.D., Vandervliet, E., Parizel, P.: Multiscale white matter fiber tract coregistration: a new feature-based approach to align diffusion tensor data. MRM 55(6), 1414-1423 (2006), http://dx.doi.org/10.1002/mrm.20898
17. Malcolm, J.G., Michailovich, O., Bouix, S., Westin, C.F., Shenton, M.E., Rathi, Y.: A filtered approach to neural tractography using the Watson directional function. MIA 14, 58-69 (2010)
18. Smith, S.M., Jenkinson, M., Johansen-Berg, H., Rueckert, D., Nichols, T.E., Mackay, C.E., Watkins, K.E., Ciccarelli, O., Cader, M.Z., Matthews, P.M., Behrens, T.E.J.: Tract-based spatial statistics: voxelwise analysis of multi-subject diffusion data. NI 31(4), 1487-1505 (2006), http://dx.doi.org/10. 1016/j.neuroimage.2006.02.024
19. Vercauteren, T., Pennec, X., Perchant, A., Ayache, N.: Diffeomorphic demons: Efficient nonparametric image registration. NeuroImage 45(1, S1), S61-S72 (2009), http://www.sciencedirect.com/science/article/B6WNP-4TW13J3-6/2/ 519213aac5e0b363bd17fbd0a05e1833
20. Wassermann, D., Bloy, L., Kanterakis, E., Verma, R., Deriche, R.: Unsupervised white matter fiber clustering and tract probability map generation: Applications of a gaussian process framework for white matter fibers. NeuroImage 51(1), 228-241 (2010), http://www.sciencedirect.com/science/article/ B6WNP-4Y5BMD4-2/2/9bba3c64a0443363022999aa7b04918a
21. Yang, J., Shen, D., Davatzikos, C., Verma, R.: Diffusion Tensor Image Registration Using Tensor Geometry and Orientation Features. In: Metaxas, D., Axel, L., Fichtinger, G., Székely, G. (eds.) MICCAI 2008, Part II. LNCS, vol. 5242, pp. 905-913. Springer, Heidelberg (2008)
22. Zhang, H., Yushkevich, P.,Alexander, D., Gee, J.: Deformable registration of diffusion tensor MR images with explicit orientation optimization. MIA 10, 764-785 (2006)
23. Ziyan, U., Sabuncu, M.R., Grimson, W.E.L., Westin, C.F.: A robust algorithm for fiberbundle atlas construction. In: IEEE MMBIA (2007)