Groupwise registration for correcting subject motion and eddy current distortions in diffusion MRI using a PCA based dissimilarity metric

Mathematics and Visualization

Volumn , Issue , 2014, Pages 163-174

  Huizinga, W ^b   Metz, C T ^b   Poot, D H J ^b   de Groot, M ^b   Niessen, W J ^a,b   Leemans, A ^c   Klein, S ^b  

^a DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

^b ERASMUS MEDICAL CENTER   (Netherlands)

^c UNIVERSITY MEDICAL CENTER UTRECHT   (Netherlands)

Author keywords

Diffusion weighted MRI; Image registration; Principal component analysis; Subject motion correction

Indexed keywords

DIFFUSION; EDDY CURRENTS; IMAGE ANALYSIS; IMAGE REGISTRATION; MAGNETIC RESONANCE IMAGING; MEDICAL IMAGING; METADATA;

CONVENTIONAL METHODS; DIFFUSION CHARACTERISTICS; DIFFUSION WEIGHTED IMAGES; DIFFUSION-WEIGHTED MRI; GEOMETRIC DISTORTION; GRADIENT ORIENTATIONS; MOTION CORRECTION; TRANSFORMATION PARAMETERS;

PRINCIPAL COMPONENT ANALYSIS;

EID: 84988410178     PISSN: 16123786     EISSN: 2197666X     Source Type: Book Series    
DOI: 10.1007/978-3-319-02475-2_15     Document Type: Conference Paper

References (26)

1. Balci, S. et al.: Free-form B-Spline deformation model for groupwise registration. Proc. Stat. Regis. Workshop (MICCAI). 23-30 (2007)
2. Behrens, T.E.J., et al.: Probabilistic diffusion tractography with multiple fibre orientations: what can we gain? NeuroImage 34, 144-155 (2007)
3. de Geeter, N., et al.: A DTI-based model for TMS using the independent impedance method with frequency-dependent tissue parameters. Phys. Med. Biol. 57, 2169-2188 (2012)
4. Fung, T.C.: Computation of the matrix exponential and its derivatives by scaling and squaring. Int. J. Numer. Methods Eng. 59, 1273-1286 (2004)
5. Jensen, H.J., et al.: Diffusional kurtosis imaging: the quantification of non-gaussian water diffusion by means of magnetic resonance imaging. Magn. Reson. Med. 53, 1432-1340 (2005)
6. Jones, D.K., Leemans, A.: Diffusion tensor imaging. Methods Mol. Biol. 711, 127-144 (2011)
7. Klein, S., et al.: Adaptive stochastic gradient descent optimization for image registration. Int. J. Comput. Vis. 81, 227-239 (2009)
8. Klein, S., et al.: elastix: a toolbox for intensity based medical image registration. IEEE Trans. Med. imaging 29, 196-205 (2010)
9. Leemans, A., et al.: Mathematical framework for simulating diffusion tensor MR neural fiber bundles. Magn. Reson. Med. 53, 944-953 (2005)
10. Leemans, A., et al.: Multiscale white matter fiber tract coregistration: a new feature-based approach to align diffusion tensor data. Magn. Reson. Med. 55, 1414-1423 (2006)
11. Leemans, A., et al.: The B-matrix must be rotated when correcting for subject motion in DTI data. Magn. Reson. Med. 61, 1336-1349 (2009)
12. Leemans, A., et al.: Explore DTI: a graphical toolbox for processing, analyzing, and visualizing diffusion MR data. In: 17th Annual Meeting of International Society for Magnetic Resonance in Medicine, Hawaii, 2009, p. 3537
13. Marsland, S., et al.: A minimum description length objective function for groupwise non-rigid image registration. Image Vis. Comput. 26, 333-346 (2008)
14. Melbourne, A., et al.: Registration of dynamic contrast-enhanced MRI using a progressive principal component registration (PPCR). Phys. Med. Biol. 52, 5147-5156 (2007)
15. Metz, C.T., et al.: Nonrigid registration of dynamic medical imaging data using nD+t B-splines and a groupwise optimization approach. Med. Image Anal. 15, 238-249 (2010)
16. Reijmer, Y.D., et al.: Improved sensitivity to cerebral white matter abnormalities in Alzheimer’s disease with spherical deconvolution based tractography. PLoS one. 7, 1371 (2012)
17. Rohde, G.K., et al.: Comprehensive approach for correction of motion and distortion in diffusion-weighted MRI. Magn. Reson. Med. 51, 103-114 (2004)
18. Schultz, T., Seidel, H.: Using eigenvalue derivatives for edge detection in DT-MRI data. In: Rigoll, G. (ed.) Pattern Recognition, vol. 5096, pp. 193-202. Springer, Berlin (2008)
19. Sijbers, J., et al.: Parameter estimation from magnitude MR images. Int. J. Imaging Syst. Technol. 10, 109-114 (1999)
20. Tournier, J.D., et al.: Diffusion tensor imaging and beyond. Magn. Reson. Med. 65, 1532-1556 (2011)
21. van der Aa, N.P., et al.: Computation of eigenvalue and eigenvector derivatives for a general complex-valued eigensystem. Electron. J. Linear Algebra 16, 300-314 (2007)
22. van der Aa, N.E., et al.: Does diffusion tensor imaging-based tractography at 3 months of age contribute to the prediction of motor outcome after perinatal arterial ischemic stroke? Stroke 42, 3410-3414 (2011)
23. Wachinger, C., et al.: Simultaneous registration of multiple images: similarity metrics and efficient optimization. IEEE Trans. Pattern Anal. Mach. Intell. 7, 667-674 (2012)
24. Wang, H.C., et al.: Diffusion tensor imaging of vascular parkonsonism: structural changes in cerebral white matter and the association with clinical severity. Arch. Neurol. 69, 1340-1348 (2012)
25. Wedeen, V.J., et al.: Mapping complex tissue architecture with diffusion spectrum magnetic resonance imaging. Magn. Reson. Med. 54, 1377-1386 (2005)
26. Woods, P.: Characterizing volume and surface deformations in an atlas framework: theory, applications, and implementation. NeuroImage. 18, 769-788 (2003)