Seminars in Nuclear Medicine
Volume 33, Issue 3 , Pages 180-192 , July 2003

Software for image registration: Algorithms, accuracy, efficacy

References 

  1. In:  Hajnal JV,  Hill DLG,  Hawkes DJ editor. Medical Image Registration. Boca Raton, FL: CRC Press; 2001;
  2. van den Elsen PA, Pol EJD, Viergever MA. Medical image matching—A review with classification. IEEE Eng Med Biol. 1993;14:603–611
  3. Maurer CR, Fitzpatrick JM. A review of medical image registration. In:  Maciunas RJ editors. Interactive Image-Guided Neurosurgery. Parkridge, IL: American Association of Neurological Surgeons; 1993;p. 17–44
  4. Weber DA, Ivanovic M. Correlative image registration. Sem Nucl Med. 1994;24:311–323
  5. Lavallee S. Registration for computer-integrated surgery: Methodology, state of the art. In:  Taylor RH,  Lavallee S,  Burdea GC, et al. editor. Computer-Integrated Surgery, Technology and Clinical Applications. Cambridge: MIT Press; 1996;p. 77–97
  6. McInerney T, Terzopoulos D. Deformable models in medical image analysis: a survey. Med Image Anal. 1996;1:91–108
  7. Hawkes DJ. Algorithms for radiological image registration and their clinical application. J Anat. 1998;193:347–361
  8. Maintz JBA, Viergever MA. A survey of medical image registration. Med Image Anal. 1998;2:1–36
  9. Eberl S, Braun M. Intra- and inter-modality registration of functional and anatomical clinical images. In:  Pham B,  Braun M,  Maeder AJ, et al. editor. Proc SPIE. 3747:1999;p. 102–114 New Approaches in Medical Image Analysis
  10. Thurfjell L, Pagani M, Andersson JLR. Registration of neuroimaging data: Implementation and clinical applications. J Neuroimaging. 2000;10:39–46
  11. Audette MA, Ferrie FP, Peters TM. An algorithmic overview of surface registration techniques for medical imaging. Med Image Anal. 2000;4:201–217
  12. Viergever MA, Maintz JB, Niessen WJ, et al.  Registration, segmentation, and visualization of multimodal brain images. Comput Med Imaging Graph. 2001;25:147–151
  13. Hill DL, Batchelor PG, Holden M, et al.  Medical image registration. Phys Med Biol. 2001;46:R1–R45
  14. Hutton BF, Braun M, Thurfjell L, et al.  Image registration: An essential tool for nuclear medicine. Eur J Nucl Med. 2002;29:559–577
  15. Surova-Trojanova H, Barker WC, Carrasquillo JA, et al.  Registration of planar emission images with reprojected CT data. J Nucl Med. 2000;41:700–705
  16. Arata LK, Pretorius PH, King MA. Correction of organ motion in SPECT using reprojection data. In: Proc 1995 IEEE Nucl Sci Symp Medical Imaging Conf. Los Alamitos: IEEE; 1995;p. 1456–1460
  17. Lee KJ, Barber DC. Use of forward projection to correct for patient motion during SPECT imaging. Phys Med Biol. 1998;43:171–187
  18. Hutton BF, Kyme A, Lau YH, et al.  A hybrid 3D reconstruction/registration algorithm for correction of head motion in emission tomography. IEEE Trans Nucl Sci. 2002;49:188–194
  19. Arun KS, Huang TS, Blostein SD. Least squares fitting of two 3-d point sets. IEEE Trans PAMI. 1987;5:698–700
  20. Besl PJ, McKay ND. A method for registration of 3d shapes. IEEE Trans PAMI. 1992;14:239–256
  21. Ge Y, Fitzpatrick JM, Kessler RM, et al.  Intersubject brain image registration using both cortical and subcortical landmarks. In:  Loew M editors. Medical Imaging. Bellingham: SPIE Press; 1995;p. 2434
  22. Hill DLG, Hawkes DJ, Crossman JE, et al.  Registration of MR and CT images for skull base surgery using point-like anatomical features. Brit J Radiol. 1991;64:1030–1035
  23. Peters T, Davey B, Munger P, et al.  Three-dimensional multimodal image-guidance for neurosurgery. IEEE Trans Med Imag. 1996;15:121–128
  24. West J, Fitzpatrick JM, Wang MY, et al.  Comparison and evaluation of retrospective intermodality image registration techniques. J Comp Assist Tomogr. 1997;21:554–566
  25. Barnden L, Kwiatek R, Lau Y, et al.  Validation of fully automatic brain SPET to MR co-registration. Eur J Nucl Med. 2000;27:147–154
  26. Papavasileiou P, Flux GD, Flower MA, et al.  An automated technique for SPECT marker-based image registration in radionuclide therapy. Phys Med Biol. 2001;46:2085–2097
  27. Thirion J. New feature points based on geometric invariants for 3D image registration. Int J Comp Vision. 1996;18:121–137
  28. Monga O, Benayoun S. Using partial derivatives of 3D images to extract typical surface features. Comput Vision Image Understand. 1995;61:171–189
  29. Gueziec A, Ayache N. Smoothing and matching of 3D space curves. Int J Comput Vision. 1994;12:79–104
  30. Maintz JBA, van den Elsen PA, Viergever MA. Comparison of edge-based and ridge-based registration of CT and MR brain images. Med Image Anal. 1996;1:151–161
  31. Gee JC, Barillot C, Briquer LLE, et al.  Matching structural images of the human brain using statistical and geometrical images features. Proc SPIE Visualization Biomed Comput. 1994;2359:191–201
  32. Pelizzari CA, Chen GTY, Spelbring DR, et al.  Accurate three-dimensional registration of CT, PET and/or MR images of the brain. J Comp Assist Tomog. 1989;13:20–26
  33. Scott AM, Macapinlac H, Divgi CR, et al.  Clinical validation of SPECT and CT/MRI image registration in radiolabeled monoclonal antibody studies of colorectal carcinoma. J Nucl Med. 1994;35:1976–1984
  34. Faber TL, McColl RW, Opperman RM, et al.  Spatial and temporal registration of cardiac SPECT and MR images: Methods and evaluation. Radiology. 1991;179:857–861
  35. Alpert NM, Bradshaw JF, Kennedy D, et al.  The principal axis transformation—A method for image registration. J Nucl Med. 1990;31:1717–1722
  36. Slomka PJ, Hurwitz GA, Stephenson J, et al.  Automated alignment and sizing of myocardial stress and rest scans to three-dimensional normal templates using an image registration algorithm. J Nucl Med. 1995;36:1115–1122
  37. Phillips RL, London ED, Links JM, et al.  Program for PET image alignment: Effects on calculated differences in cerebral metabolic rates of glucose. J Nucl Med. 1990;31:2052–2057
  38. Hoh CK, Dahlbom M, Harris G, et al.  Automated iterative three-dimensional registration of positron emission tomography images. J Nucl Med. 1993;34:2009–2018
  39. Eberl S, Kanno I, Fulton R, et al.  Automated interstudy image registration technique for SPECT and PET. J Nucl Med. 1996;37:137–145
  40. Viola PA. Alignment by maximization of mutual information. PhD thesis Boston, MA: MIT; 1995;
  41. Junck L, Moen JG, Hutchins GD, et al.  Correlation methods for the centering, rotation and alignment of functional brain images. J Nucl Med. 1990;31:1220–1276
  42. Andersson JLR, Sundin A, Valind S. A method for coregistration of PET and MRI brain images. J Nucl Med. 1995;36:1307–1315
  43. Rizzo G, Pasquali P, Gilardi MC, et al.  Multimodality biomedical image integration: Use of a cross-correlation technique. Proc IEEE Eng Med Biol Soc. 1991;13:219–220
  44. Woods RP, Maziotta JC, Cherry SR. MRI-PET registration with automated algorithm. J Comp Assist Tomog. 1993;17:536–546
  45. Ardekani BA, Braun M, Hutton BF, et al.  A fully automatic multimodality image registration algorithm. J Comp Assist Tomog. 1995;19:615–623
  46. Hill DLG, Studholme C, Hawkes DJ. Voxel similarity measures for automated image registration. Proc SPIE. 1994;2359:205–216
  47. Roche A, Malandain G, Pennec X, et al.  The correlation ratio as a new similarity measure for mutimodal image registration. In:  Wells WM,  Colchester A,  Delp S editor. Lecture Notes in Computer Science. 1496:Berlin: Springer-Verlag,; 1998;p. 1115–1124 Proc MICCAI'98
  48. Lau YH, Braun M, Hutton BF. Non-rigid registration using a median-filtered coarse-to-fine displacement filed and a symmetric correlation ratio. Phys Med Biol. 2001;46:1297–1319
  49. Viola P, Wells WM. Alignment by maximization of mutual information. Int Conf on Computer Vision. In: Los Alimitos: IEEE Computer Society Press; 1995;p. 16–23
  50. Wells WM, Viola P, Atsumi H, et al.  Multi-modal volume registration by maximization of mutual information. Med Image Anal. 1996;1:35–51
  51. Collignon A, Maes F, Delaere D, et al.  Automated multi-modality image registration based on information theory. In:  Bizais Y,  Barillot C,  Di Paolo R editor. Information Processing in Medical Imaging. Dordrecht: Kluwer Academic; 1995;p. 263–274
  52. Maes F, Collignon A. Multimodality image registration by maximization of mutual information. IEEE Trans Med Imaging. 1997;16:187–198
  53. Holden M, Hill DL, Denton ER, et al.  Voxel similarity measures for 3-D serial MR brain image registration. IEEE Trans Med Imaging. 2000;19:94–102
  54. Studholme C, Hill DLG, Hawkes DJ. An overlap invariant entropy measure of 3D medical image alignment. Pattern Recognition. 1999;32:71–86
  55. Lau YH. Fusion of anatomical and functional images. PhD thesis Sydney: University of Technology Sydney, Australia; 2003;
  56. Collins DL, Neelin P, Peters TM, et al.  Automatic 3D intersubject registration of MR volumetric data in standardized Talairach space. J Comput Assist Tomogr. 1994;18:192–205
  57. Woods RP, Grafton ST, Watson JD, et al.  Automated image registration: II. Intersubject validation of linear and non-linear models. J Comput Assist Tomogr. 1998;22:153–165
  58. Andersson JLF, Thurfjell LA. A multivariate approach to registration of dissimilar tomographic images. Eur J Nucl Med. 1999;26:718–733
  59. Ashburner J, Friston KJ. Nonlinear spatial normalization using basis functions. Hum Brain Mapp. 1999;7:254–266
  60. Thurfjell L, Bohm C, Bengtsson E. CBA-an atlas-based software tool used to facilitate the interpretation of neuroimaging data. Comput Methods Programs Biomed. 1995;47:51–71
  61. Bookstein FL. Principal warps: Thin-plate splines and the decomposition of deformations. IEEE Trans Patt Anal Mach Intell. 1989;11:567–585
  62. Malcolm HD, Alireza K, Duane PF, et al.  A physics-based coordinate transformation for 3-D image matching. IEEE Trans Med Imag. 1997;16:317–328
  63. Bajcsy R, Kovacic S. Multiresolution elastic matching. Comput Vision Graphics Image Proc. 1989;46:1–12
  64. Christensen GE, Rabbitt RD, Miller MI. 3D brain mapping using deformable neuroanatomy. Phys Med Biol. 1994;39:609–618
  65. Bro-Nielsen M, Gramkow C. Fast fluid registration of medical images. In:  Hohne KH,  Kikinis R editor. Visualization in Biomedical Computing, Lecture Notes in Computer Science. Vol. 1131:Hamburg, Germany: Springer-Verlag; 1996;p. 267–276
  66. Wang Y, Staib LH. Physical model-based non-rigid registration incorporating statistical shape information. Med Image Anal. 2000;4:7–20
  67. Maes F, Vandermeulen D, Suetens P. Comparative evaluation of multiresolution optimization strategies for multimodality image registration by maximization of mutual information. Med Image Anal. 1999;3:373–386
  68. Studholme C, Hill DLG, Hawkes DJ. Automated three-dimensional registration of magnetic resonance and positron emission tomography brain images by multiresolution optimization of voxel similarity measure. Med Phys. 1997;24:25–35
  69. Thevenaz P, Ruttimann EU, Unser M. A pyramid approach to subpixel registration based on intensity. IEEE Trans Med Imag. 1998;7:27–41
  70. Lau YH, Braun M, Hutton BF. Non-rigid 3D image registration using regionally constrained matching and the correlation ratio. In:  Pernus F,  Kovacic S,  Stiehl HS, et al. editor. Proc Int Workshop on Biomedical Image Registration. Ljubljana: Slovenian Pattern Recognition Society; 1999;p. 137–148
  71. Maintz JBA, Meijering EWH, Viergever MA. General multimodal elastic registration based on mutual information. Proc SPIE. 1998;3338:144–154
  72. Pluim JPW, Maintz JBA, Viergever MA. Mutual information matching in multiresolution contexts. Image Vision Comput. 2001;19:53–62
  73. Digital Imaging Communication in Medicine DICOM . NEMA Standards Publication PS3. Washington: NEMA; 1994;
  74. Thurfjell L, Lau Y, Hutton B. Improving efficiency of multi-modality registration of brain scans based on mutual information. Eur J Nucl Med. 2000;27:847–856
  75. Pluim J, Maintz JBA, Viergever MA. Interpolation artifacts in mutual information-based image registration. Comp Vision Image Understand. 2000;77:211–232
  76. Lehmann TM, Gonner C, Spitzer K. Survey: Interpolation methods in medical image processing. IEEE Trans Med Imaging. 1999;18:1049–1075
  77. Thevenaz P, Blu T, Unser M. Interpolation revisited. IEEE Trans Med Imaging. 2000;19:739–758
  78. Press WH, Flannery BP, Teukolsky SA, et al.  Numerical Recipes in C. ed 2. Cambridge: Cambridge University Press; 1993;
  79. Liu A, Pizer S, Berly D, et al.  Volume registration using the 3d core. In:  Robb RA editors. Visualization in Biomedical Computing. 2359:Bellingham: SPIE Press; 1994;p. 217–226
  80. Holton KS, Robb RA, Taneja U, et al.  The evaluation of 3-D multimodality image registration using ROC analysis. Proc SPIE. 1995;2436:90–104
  81. Wong JCH, Studholme C, Hawkes DJ, et al.  Evaluation of the limits of visual detection of image misregistration in a brain flourine-18 fluorodeoxyglucose PET-MRI study. Eur J Nucl Med. 1997;24:642–650
  82. Fitzpatrick JM, Hill DLG, Shyr Y, et al.  Visual assessment of the accuracy of retrospective registration of MR and CT images of the brain. IEEE Trans Med Imaging. 1998;17:571–585
  83. Woods RP, Grafton ST, Holmes CJ, et al.  Automated image registration: I. General methods and intrasubject, intramodality validation. J Comput Assist Tomogr. 1998;22:139–152
  84. Fitzpatrick JM, West JB, Maurer CR. Predicting error in rigid-body point-based registration. IEEE Trans Med Imaging. 1998;17:694–702
  85. West JB, Fitzpatrick JM. The distribution of target registration error in rigid-body, point-based registration. In:  Kuba A,  Samal M,  Todd-Pokropek A editor. Lecture Notes in Comp Sci: Proc IPMI 1999. 1613:Berlin: Springer-Verlag; 1999;p. 460–465
  86. Holden M, Hill DLG, Denton ERE, et al.  Voxel similarity measures for 3-D serial MR brain image registration. IEEE Trans Med Imaging. 2000;19:94–102
  87. Pfluger T, Vollmar C, Wismuller A, et al.  Quantitative comparison of automatic and interactive methods for MRI-SPECT image registration of the brain based on 3-dimensional calculation of error. J Nucl Med. 2000;41:1823–1829
  88. Somer EJ, Marsden PK, Benatar NA, et al.  PET-MR image fusion in soft tissue sarcoma: Accuracy, reliability and practicality of interactive point-based and automated mutual information techniques. Eur J Nucl Med Mol Imaging. 2003;30:54–62
  89. Skalski J, Wahl RL, Meyer CR. Comparison of mutual information-based warping accuracy for fusing body CT and PET by 2 methods: CT mapped onto PET emission scan versus CT mapped onto PET transmission scan. J Nucl Med. 2002;43:1184–1187
  90. Meyer CR, Boes JL, Kim B, et al.  Demonstration of accuracy and clinical versatility of mutual information for automatic multimodality image fusion using affine and thin-plate spline warped geometric deformations. Med Image Anal. 1996/1997;1:195–206
  91. Lau YH, Braun M, Hutton BF. Registration of SPET and CT abdominal images using a symmetric correlation ratio. Nucl Med Commun. 2000;21:491; (abstract)
  92. Todd-Pokropek A. Testing non-rigid registration of nuclear medicine data using synthetic derived SPECT images. World J Nucl Med. 2002;1(suppl 2):S166; (abstract)
  93. Hamilton RJ, Blend MJ, Pelizarri CA, et al.  Using vascular structure for CT-SPECT registration in the pelvis. J Nucl Med. 1999;40:347–351
  94. Dey D, Slomka PJ, Hahn LJ, et al.  Automatic three-dimensional multimodality registration using radionuclide transmission CT attenuation maps: A phantom study. J Nucl Med. 1999;40:448–455
  95. Sipila O, Nikkinen P, Savolainen S, et al.  Transmission imaging for registration of ictal and interictal single-photon emission tomography, magnetic resonance imaging and electroencephalography. Eur J Nucl Med. 2000;27:202–205
  96. Pluim JP, Maintz JB, Viergever MA. Image registration by maximization of combined mutual information and gradient information. IEEE Trans Med Imaging. 2000;19:809–814
  97. Studholme C, Hill DLG, Hawkes DJ. Incorporating connected region labeling into automated image registration using mutual information. Proc Mathematical Methods in Biomedical Image Analysis In: Los Alamitos: IEEE Computer Society Press; 1996;p. 23–31
  98. Little JA, Hill DLG, Hawkes DJ. Deformations incorporating rigid structures. Comput Vision Image Understand. 1997;66:223–232
  99. Kashiwagi T, Yutani K, Fukuchi M, et al.  Correction of nonuniform attenuation and image fusion in SPECT imaging by means of a separate x-ray CT. Ann Nucl Med. 2002;16:255–261
  100. Muller-Gartner HW, Links JM, Prince JL, et al.  Measurement of radiotracer concentration in brain gray matter using positron emission tomography: MR-based correction of partial volume effects. J Cereb Blood Flow Metab. 1992;12:571–583
  101. Rousset G, Ma Y, Leger G, et al.  Correction of partial volume effects in PET using MRI-based 3D simulations of individual human brain metabolism. In:  Uemura K,  Lassen N,  Jones T, et al. editor. Quantification of Brain Function: Tracer Kinetics and Image Analysis in Brain PET. Amsterdam: Elsevier Science; 1993;p. 113–125
  102. Labbe C, Froment JC, Kennedy A, et al.  Positron emission tomography metabolic data corrected for cortical atrophy using magnetic resonance imaging. Alzheimer Disease Assoc Dis. 1996;10:141–170
  103. Leahy R, Yan X. Incorporation of anatomical MR data for improved functional imaging with PET. In:  Colchester A,  Hawkes D editor. Information Processing in Medical Imaging. New York: Springer; 1991;p. 105–120
  104. Gindi G, Lee M, Rangarajan A, et al.  Bayesian reconstruction of functional images using anatomical information as priors. IEEE Trans Med Imag. 1993;12:670–680
  105. Ardekani B, Braun M, Hutton B, et al.  Minimum cross-entropy reconstruction of PET images using prior anatomical information. Phys Med Biol. 1996;41:2497–2517
  106. Som S, Hutton BF, Braun M. Properties of minimum cross-entropy reconstruction with anatomical prior images. IEEE Trans Nucl Sci. 1998;45:3014–3021

☆ Address reprint requests to Brian F. Hutton, Department of Medical Physics, Westmead Hospital, Westmead, NSW 2145, Australia.

☆☆ 0001-2998/03/3303-0013$30.00/0

PII: S0001-2998(03)70004-X

doi: 10.1053/snuc.2003.127309

Seminars in Nuclear Medicine
Volume 33, Issue 3 , Pages 180-192 , July 2003

Article Tools

* Image Usage & Resolution