Magnetic Resonance Imaging
Volume 26, Issue 10 , Pages 1388-1397 , December 2008

Geometric distortion correction for echo planar images using nonrigid registration with spatially varying scale

Received 16 November 2007 ,Revised 27 March 2008 ,Accepted 29 March 2008.

References 

  1. Studholme C, Constable RT, Duncan JS. Accurate alignment of functional EPI data to anatomical MRI using a physics-based distortion model. IEEE Trans Med Imaging. 2000;19(11):1115–1127
  2. Kybic J, Thevenaz P, Nirkko A, Unser M. Unwarping of unidirectionally distorted EPI images. IEEE Trans Med Imaging. 2000;19(2):80–93
  3. Hellier P, Barillot C. Multimodal non-rigid warping for correction of distortions in functional MRI. MICCAI. 2000;512–520
  4. Skerl D, Pan S, Li R, Fitzpatrick JM, Parks MH, Martin PR, et al. Correction of geometric distortions in EPI images using non-rigid registration to corresponding anatomic images. Proc SPIE Medical Imaging. 2001;4322:58–68
  5. Ardekani S, Sinha U. Geometric distortion correction of high-resolution 3 T diffusion tensor brain images. Magn Reson Med. 2005;54(5):1163–1171
  6. Rueckert D, Sonoda LI, Hayes C, Hill DL, Leach MO, Hawkes DJ. Nonrigid registration using free-form deformations: application to breast MR images. IEEE Trans Med Imaging. 1999;18(8):712–721
  7. Rohlfing T, Maurer CR, Bluemke DA, Jacobs MA. Volume-preserving nonrigid registration of MR breast images using free-form deformation with an incompressibility constraint. IEEE Trans Med Imaging. 2003;22(6):730–741
  8. Thirion JP. Image matching as a diffusion process: an analogy with Maxwell's demons. Med Image Anal. 1998;2(3):243–260
  9. Guimond A, Roche A, Ayache N, Meunier J. Three-dimensional multimodal brain warping using the demons algorithm and adaptive intensity corrections. IEEE Trans Med Imaging. 2001;20(1):58–69
  10. Rohde GK, Aldroubi A, Dawant BM. The adaptive bases algorithm for intensity-based nonrigid image registration. IEEE Trans Med Imaging. 2003;22(11):1470–1479
  11. Hellier P, Barillot C, Memin E, Perez P. Hierarchical estimation of a dense deformation field for 3-D robust registration. IEEE Trans Med Imaging. 2001;20(5):388–402
  12. Lester H, Arridge SR, Jansons KM, Lemieux L, Hajnal JV, Oatridge A. In: Non-linear registration with the variable viscosity fluid algorithm, IPMI'99. 1999;p. 238–251
  13. Duay V, D'Haese P, Li R, and Dawant BM, Non-rigid registration algorithm with spatially varying stiffness properties, ISBI04. 408-411.
  14. Staring M, Klein S, Pluim JPW. In: Nonrigid registration using a rigidity constraint, proceedings of SPIE, medical imaging: image processing. vol 6144:2006;p. 614413
  15. Li X, Peterson TE, Yankeelov T, Gore J, Dawant BM. In: Constrained non-rigid registration for whole-body image registration: method and validation, proceedings of SPIE, medical imaging: image processing. 2007;p. 6512–6601
  16. Stefanescu R, Pennec X, Ayache N. Grid powered nonlinear image registration with locally adaptive regularization. Med Image Anal. 2004;8(3):325–342
  17. Commowick R, Stefanescu P, Fillard V, Arsigny N, Ayache XP, and Malandain G, Incorporating statistical measures of anatomical variability in atlas-to-subject registration for conformal brain radiotherapy, MICCAI 2005, LNCS 3750. p. 927--934.
  18. Rohlfing T, Maurer CR. In: Intensity-based non-rigid registration using adaptive multilevel free-form deformation with an incompressibility constraint. MICCAI. 2001;p. 111–119
  19. Schnabel JA, Rueckert D, Quist M, Blackall JM, Castellano-Smith AD, Hartkens T, et al. In: A generic framework for non-rigid registration based on non-uniform multi-level free-form deformations. MICCAI. 2001;p. 573–581
  20. Park H, Bland PH, Brock KK, Meyer CR. Adaptive registration using local information measures. Med Image Anal. 2004;8(4):465–473
  21. Pekar V, Gladilin E, Rohr K. An adaptive irregular grid approach for 3D deformable image registration. Phys Med Biol. 2006;51:361–377
  22. Jezzard P, Balaban RS. Correction for geometric distortion in echo-planar images from B-0 field variations. Magn Reson Med. 1995;34:65–73
  23. Li Y, Xu N, Fitzpatrick JM, Morgan VL, Pickens DR, Dawant BM. Accounting for signal loss due to dephasing in the correction of distortions in gradient-echo EPI via nonrigid registration. IEEE Trans Med Imaging. 2007;26(12):1698–1707
  24. Wu Z. In: Compactly supported positive definite radial functions. Advances in Computational Mathematics 4. 1995;p. 283–292
  25. Studholme C, Hill DLG, Hawkes DJ. In: An overlap invariant entropy measure of 3D medical image alignment. Pattern Recognition. 32:1999;p. 71–86
  26. Xue Z, Shen D, Davatzikos C. Statistical representation of high-dimensional deformation fields with application to statistically constrained 3D warping. Med Image Anal. 2006;10(5):740–751
  27. Yoder DA, Zhao YS, Paschal CB, Fitzpatrick JM. MRI simulator with object-specific field map calculations. Magn Reson Imaging. 2004;22:315–328
  28. Collins CM, Yang B, Yang QX, Smith MB. Numerical calculations of the static magnetic field in three-dimensional multi-tissue models of the human head. Magn Reson Imaging. 2002;20:413–424
  29. Truong TK, Clymer BD, Chakeres DW, Schmalbrock P. Three-dimensional numerical simulations of susceptibility-induced magnetic field inhomogeneities in the human head. Magn Reson Imaging. 2002;20:759–770
  30. http://www.fmrib.ox.ac.uk/fsl/.

PII: S0730-725X(08)00130-6

doi: 10.1016/j.mri.2008.03.004

Magnetic Resonance Imaging
Volume 26, Issue 10 , Pages 1388-1397 , December 2008