Diffusion tensor field registration in the presence of uncertainty

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 181-189

  Irfanoglu, Mustafa Okan ^a,b   Koay, Cheng Guan ^b   Pajevic, Sinisa ^b   Machiraju, Raghu ^a   Basser, Peter J ^b  

^a OHIO STATE UNIVERSITY   (United States)

^b EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH AND HUMAN DEVELOPMENT   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANISOTROPIC DIFFUSION; COVARIANCE MATRICES; DEFORMABLE REGISTRATION; DIFFUSION TENSOR; DIFFUSION TENSOR IMAGING; DIFFUSIVITIES; DISTRIBUTED RANDOM VARIABLES; EXPERIMENTAL DESIGN; HIGH CONFIDENCE; IN-DIFFUSION; KULLBACK LEIBLER DIVERGENCE; NOVEL METHODS; POSITIVE DEFINITE; PRINCIPAL DIRECTIONS; REGISTRATION METHODS; TENSOR SPACES; TISSUE DIFFUSION; WHITE MATTER;

COVARIANCE MATRIX; DEFORMATION; DIFFUSION; MEDICAL COMPUTING; NORMAL DISTRIBUTION; RANDOM VARIABLES; UNCERTAINTY ANALYSIS;

TENSORS;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BRAIN; COMPUTER ASSISTED DIAGNOSIS; DIFFUSION WEIGHTED IMAGING; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; IMAGE QUALITY; IMAGE SUBTRACTION; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING;

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

EID: 84860652772     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04268-3_23     Document Type: Conference Paper

References (14)

1. Basser, P.J., Jones, D.K.: Diffusion-tensor MRI: theory, experimental design and data analysis - a technical review. NMR Biomed. 15(7-8), 456-467 (2002)
2. Fletcher, P., Joshi, S.: Principal geodesic analysis on symmetric spaces: Statistics of diffusion tensors. In: Sonka, M., Kakadiaris, I.A., Kybic, J. (eds.) CVAMIA/MMBIA 2004. LNCS, vol. 3117, pp. 87-98. Springer, Heidelberg (2004)
3. Arsigny, V., Fillard, P., Pennec, X.: Log-Euclidean metrics for fast and simple calculus on diffusion tensors. Magnetic Resonance in Medicine 56, 411-421 (2006) (Pubitemid 44162789)
4. Zhang, H., Yushkevich, P.: 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)
5. Cao, Y., Miller, M., Mori, S., Winslow, R.L., Younes, L.: Diffeomorphic matching of diffusion tensor images. In: CVPR Workshop, vol. 22(17), pp. 67-67 (2006)
6. Jinzhong, Y., Dinggang, S., Ragini, V.: 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)
7. Zhang, H., Avants, B.B., Yushkevich, P.A., Woo, J.H., Wang, S., McCluskey, L.F., Elman, L.B., Melhem, E.R., Gee, J.C.: High-dimensional spatial normalization of diffusion tensor images improves the detection of white matter differences: An example study using amyotrophic lateral sclerosis. IEEE Trans. Med. Imaging 26(11), 1585-1597 (2007)
8. Pasternak, O., Verma, R., Sochen, N., Basser, P.J.: On what manifold do diffusion tensors live. In: MICCAI Workshop (2008)
9. Basser, P.J., Pajevic, S.: A normal distribution for tensor-valued random variables: applications to diffusion tensor mri. IEEE TMI 202, 785-794 (2003)
10. Koay, C.G., Chang, L., Pierpaoli, C., Basser, P.J.: Error propagation framework for diffusion tensor imaging via diffusion tensor representations. IEEE Transactions on Medical Imaging 26(8), 1017-1034 (2007) (Pubitemid 47197684)
11. Koay, C.G., Chang, L., Pierpaoli, C., Basser, P.J.: A unified theoretical and algorithmic framework for least square methods of estimation in diffusion tensor imaging. Journal of Magnetic Resonance 182, 115-125 (2006) (Pubitemid 44293446)
12. Pajevic, S., Aldroubi, A., Basser, P.J.: Continuous tensor field approximation of diffusion tensor mri data. Visualization and Processing of Tensor Fields (2006)
13. Alexander, D.C., Pierpaoli, C., Basser, P.J., Gee, J.C.: Spatial transformations of diffusion tensor magnetic resonance images. TMI 20(11), 1131-1139 (2001) (Pubitemid 33106067)
14. Yeo, B., Vercauteren, T., Fillard, P., Pennec, X., Ayache, N., Clatz, O.: DTI registration with exact finite-strain differential. In: IEEE ISBI (2008)