Non-rigid registration of high angular resolution diffusion images represented by Gaussian mixture fields

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

Volumn 5761 LNCS, Issue PART 1, 2009, Pages 190-197

  Cheng, Guang ^a   Vemuri, Baba C ^a   Carney, Paul R ^a   Mareci, Thomas H ^a  

^a UNIVERSITY OF FLORIDA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLOSED-FORM EXPRESSION; DATA SETS; GAUSSIAN MIXTURES; HIGH ANGULAR RESOLUTION DIFFUSION-WEIGHTED MRIS; HIGH ANGULAR RESOLUTIONS; L2 DISTANCES; NON-RIGID; NONRIGID REGISTRATION; NOVEL ALGORITHM; OBJECTIVE FUNCTIONS; RE-ORIENTATION; REGISTRATION PROBLEMS; THIN PLATE SPLINE;

ALGORITHMS; FUNCTIONS;

MEDICAL COMPUTING;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; DIFFUSION WEIGHTED IMAGING; HUMAN; IMAGE ENHANCEMENT; IMAGE QUALITY; IMAGE SUBTRACTION; METHODOLOGY; NORMAL DISTRIBUTION; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; DATA INTERPRETATION, STATISTICAL; DIFFUSION MAGNETIC RESONANCE IMAGING; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; NORMAL DISTRIBUTION; PATTERN RECOGNITION, AUTOMATED; PHANTOMS, IMAGING; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 79551686460     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04268-3_24     Document Type: Conference Paper

References (18)

1. Basser, P.J., Mattiello, J., LeBihan, D.: Estimation of the effective self-diffusion tensor from the NMR spin echo. J. Magn. Reson. B 103, 247-254 (1994)
2. Alexander, D.C., Pierpaoli, C., Basser, P.J., Gee, J.C.: Spatial transformations of diffusion tensor magnetic resonance images. IEEE TMI 20, 1131-1139 (2001) (Pubitemid 33106067)
3. Jones, D.K., Griffin, L.D., Alexander, D.C., Catani, M., Horsfield, M.A., Howard, R., Williams, S.C.R.: Spatial normalization and averaging of diffusion tensor MRI data sets. NeuroImage 17, 592-617 (2002)
4. Park, H.J., Kubicki, M., Shenton, M.E., Guimond, A., McCarley, R., Maier, S.E., Kikinis, R., Jolesz, F.A., Westin, C.F.: Spatial normalization of diffusion tensor MRI using multiple channels. NeuroImage 20, 1995-2009 (2003)
5. Ziyan, U., Sabuncu, M.R., O'Donnell, L.J., Westin, C.-F.: Nonlinear registration of diffusionMR images based on fiber bundles. In: Ayache, N., Ourselin, S.,Maeder, A. (eds.)MICCAI2007,Part I.LNCS,vol.4791,pp.351-358. Springer,Heidelberg(2007)
6. Cao, Y., Miller, M., Mori, S., Winslow, R.L., Younes, L.: Diffeomorphic matching of diffusion tensor images. In: Proc. CVPRW 2006, p. 67 (2006)
7. Yeo, B., Vercauteren, T., Fillard, P., Pennec, X., Golland, P., Ayache, N., Clatz, O.: DTI registration with exact finite-strain differential. In: ISBI, pp. 700-703 (2008)
8. Jian, B., Vemuri, B.C., Özarslan, E., Carney, P.R., Mareci, T.H.: A novel tensor distribution model for the DWMR signal. NeuroImage 37, 164-176 (2007)
9. Jian, B., Vemuri, B.C.: A unified computational framework for deconvolution to reconstruct multiple fibers from DWMRI. IEEE TMI 26, 1464-1471 (2007)
10. Barmpoutis,A., Jian,B.,Vemuri,B.C.,Shepherd,T.M.:Symmetricpositive 4thorder tensors&theirestimationfromdiffusionweightedMRI.In:Karssemeijer,N., Lelieveldt, B. (eds.) IPMI2007.LNCS, vol. 4584, pp. 308-319. Springer,Heidelberg (2007)
11. Özarslan, E., Mareci, T.H.: Generalized diffusion tensor imaging and analytical relationships between diffusion tensor imaging and high angular resolution diffusion imaging. Magn. Reson. Med. 50, 955-965 (2003)
12. Descoteaux, M., Angelino, E., Fitzgibbons, S., Deriche, R.: Apparent diffusion coefficients from high angular resolution diffusion imaging: Estimation and applications. Magn. Reson. Med. 56, 395-410 (2006)
13. Barmpoutis, A., Vemuri, B.C., Forder, J.R.: Registration of high angular resolution diffusionMRI images using 4th order tensors. In:Ayache,N.,Ourselin, S., Maeder,A. (eds.)MICCAI2007,Part I.LNCS,vol.4791,pp.908-915.Springer, Heidelberg(2007)
14. Chiang, M.-C., Leow, A.D., Klunder, A.D., Dutton, R.A., Barysheva, M., Rose, S.E., McMahon, K.L., de Zubicaray, G.I., Toga, A.W., Thompson, P.M.: Fluid registration of DT images using information theory. IEEE TMI 27, 442-456 (2008)
15. Jian, B., Vemuri, B.C.: A robust algorithm for point set registration using mixture of gaussian. In: ICCV, pp. 1246-1251 (2005)
16. Nocedal, J., Wright, S.: Numerical Optimization. Springer, Heidelberg (1999)
17. Soderman, O., Jonsson, B.: Restricted diffusion in cylindrical geometry. J. Magn. Reson. A 117, 94-97 (1995)
18. Zhang, H., Yushkevich, P.A., Gee, J.C.: Deformable registration of diffusion tensor MR images with explicit orientation optimization. In: Duncan, J.S., Gerig, G. (eds.) MICCAI 2005. LNCS, vol. 3749, pp. 172-179. Springer, Heidelberg (2005)