Table of Contents Author Guidelines Submit a Manuscript
International Journal of Biomedical Imaging
Volume 2017 (2017), Article ID 7232751, 12 pages
https://doi.org/10.1155/2017/7232751
Research Article

Multitemporal Volume Registration for the Analysis of Rheumatoid Arthritis Evolution in the Wrist

DITEN, Università degli Studi di Genova, Via Opera Pia 11a, 16145 Genova, Italy

Correspondence should be addressed to Silvana G. Dellepiane

Received 21 November 2016; Revised 9 May 2017; Accepted 12 June 2017; Published 19 October 2017

Academic Editor: Jyh-Cheng Chen

Copyright © 2017 Roberta Ferretti and Silvana G. Dellepiane. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. M. Boesen, M. Østergaard, M. A. Cimmino, O. Kubassova, K. E. Jensen, and H. Bliddal, “MRI quantification of rheumatoid arthritis: current knowledge and future perspectives,” European Journal of Radiology, vol. 71, no. 2, pp. 189–196, 2009. View at Publisher · View at Google Scholar · View at Scopus
  2. F. P. M. Oliveira and J. M. R. S. Tavares, “Medical image registration: a review,” Computer Methods in Biomechanics and Biomedical Engineering, vol. 17, no. 2, pp. 73–93, 2014. View at Publisher · View at Google Scholar · View at Scopus
  3. V. Tomatis, M. A. Cimmino, F. Barbieri et al., “A database of segmented MRI images of the wrist and the hand in patients with rheumatic diseases,” in New Trends in Image Analysis and Processing—ICIAP 2015 workshops, vol. 9281 of Lecture Notes in Comput. Sci., pp. 143–150, Springer, Cham, Switzerland, 2015. View at Publisher · View at Google Scholar · View at MathSciNet
  4. F. Salaffi, M. Carotti, A. Ciapetti, A. Ariani, S. Gasparini, and W. Grassi, “Validity of a computer-assisted manual segmentation software to quantify wrist erosion volume using computed tomography scans in rheumatoid arthritis,” BMC Musculoskeletal Disorders, vol. 14, article no. 265, 2013. View at Publisher · View at Google Scholar · View at Scopus
  5. H. Yang, J. Rivoire, M. Hoppe et al., “Computer-aided and manual quantifications of MRI synovitis, bone marrow edema-like lesions, erosion and cartilage loss in rheumatoid arthritis of the wrist,” Skeletal Radiology, vol. 44, no. 4, pp. 539–547, 2015. View at Publisher · View at Google Scholar · View at Scopus
  6. E. A. Haavardsholm, E. Lie, and S. Lillegraven, “Should modern imaging be part of remission criteria in rheumatoid arthritis?” Best Practice and Research: Clinical Rheumatology, vol. 26, no. 6, pp. 767–785, 2012. View at Publisher · View at Google Scholar · View at Scopus
  7. V. R. S. Mani, “Survey of medical image registration,” Journal of Biomedical Engineering and Technology, vol. 1, no. 2, pp. 8–25, 2013. View at Google Scholar
  8. A. A. Goshtasby, 2-D and 3-D Image Registration: for Medical, Remote Sensing, and Industrial Applications, John Wiley & Sons, Hoboken, NJ, USA, 2005.
  9. K. L. Mills and C. K. Tamnes, “Methods and considerations for longitudinal structural brain imaging analysis across development,” Developmental Cognitive Neuroscience, vol. 9, pp. 172–190, 2014. View at Publisher · View at Google Scholar · View at Scopus
  10. S. M. Smith, Y. Zhang, M. Jenkinson et al., “Accurate, robust, and automated longitudinal and cross-sectional brain change analysis,” NeuroImage, vol. 17, no. 1, pp. 479–489, 2002. View at Publisher · View at Google Scholar · View at Scopus
  11. M. Jenkinson and S. Smith, “A global optimisation method for robust affine registration of brain images,” Medical Image Analysis, vol. 5, no. 2, pp. 143–156, 2001. View at Publisher · View at Google Scholar · View at Scopus
  12. A. A. Joshi, R. M. Leahy, R. D. Badawi, and A. J. Chaudhari, “Registration-based morphometry for shape analysis of the bones of the human wrist,” IEEE Transactions on Medical Imaging, vol. 35, no. 2, pp. 416–426, 2016. View at Publisher · View at Google Scholar · View at Scopus
  13. B. Zitová and J. Flusser, “Image registration methods: a survey,” Image and Vision Computing, vol. 21, no. 11, pp. 977–1000, 2003. View at Publisher · View at Google Scholar · View at Scopus
  14. A. Du Bois D'Aische, M. De Craene, B. Macq, and S. K. Warfield, “An articulated registration method,” in Proceedings of the IEEE International Conference on Image Processing 2005, ICIP 2005, pp. 21–24, Genova, Italy, September 2005. View at Publisher · View at Google Scholar · View at Scopus
  15. L. Dornheim, K. D. Tönnies, and K. Dixon, “Automatic segmentation of the left ventricle in 3D SPECT data by registration with a dynamic anatomic model,” in Medical Image Computing and Computer-Assisted Intervention – MICCAI, vol. 8, pp. 335–342, Springer, Berlin, Germany, 2005. View at Google Scholar · View at Scopus
  16. M. K. Hu, “Visual pattern recognition by moment invariant,” IRE Transactions of Information Theory, vol. 8, no. 2, pp. 179–187, 1962. View at Publisher · View at Google Scholar
  17. J. Flusser and T. Suk, “Pattern recognition by affine moment invariants,” The Journal of the Pattern Recognition Society, vol. 26, no. 1, pp. 167–174, 1993. View at Publisher · View at Google Scholar · View at MathSciNet
  18. J. Flusser and T. Suk, “A moment-based approach to registration of images with affine geometric distortion,” IEEE Transactions on Geoscience and Remote Sensing, vol. 32, no. 2, pp. 382–387, 1994. View at Publisher · View at Google Scholar · View at Scopus
  19. M. Holm, “Towards automatic rectification of satellite images using feature based matching, in remote sensing: global monitoring for earth management,” in International Geoscience and Remote Sensing Symposium, 1991. IGARSS '91, pp. 2439–2442, June 1991. View at Scopus
  20. P. A. Brivio, A. Della Ventura, A. Rampini, and R. Schettini, “Automatic selection of control-points from shadow structures,” International Journal of Remote Sensing, vol. 13, no. 10, pp. 1853–1860, 1992. View at Publisher · View at Google Scholar · View at Scopus
  21. D. Bhattacharya and S. Sinha, “Invariance of stereo images via the theory of complex moments,” Pattern Recognition, vol. 30, no. 9, pp. 1373–1386, 1997. View at Publisher · View at Google Scholar · View at Scopus
  22. N. Madinehi, Rigid Body Attitude Estimation: an Overview and Comparative Study [Ph.D. thesis], The University of Western Ontario, 2013.
  23. L. K. Arata, A. P. Dhawan, J. P. Broderick, M. F. Gaskil-Shipley, A. V. Levy, and N. D. Volkow, “Three-dimensional anatomical model-based segmentation of MR brain images through principal axes registration,” IEEE Transactions on Biomedical Engineering, vol. 42, no. 11, pp. 1069–1078, 1995. View at Publisher · View at Google Scholar · View at Scopus
  24. A. P. Dhawan, L. K. Arata, A. V. Levy, and J. Mantil, “Iterative principal axes registration method for analysis of MR-PET brain images,” IEEE Transactions on Biomedical Engineering, vol. 42, no. 11, pp. 1079–1087, 1995. View at Publisher · View at Google Scholar · View at Scopus
  25. N. M. Alpert, J. F. Bradshaw, D. Kennedy, and J. A. Correia, “The principal axes transformation-a method for image registration,” Journal of Nuclear Medicine, vol. 31, no. 10, pp. 1717–1722, 1990. View at Google Scholar · View at Scopus
  26. T. Mäkelä, P. Clarysse, O. Sipilä et al., “A review of cardiac image registration methods,” IEEE Transactions on Medical Imaging, vol. 21, no. 9, pp. 1011–1021, 2002. View at Publisher · View at Google Scholar · View at Scopus
  27. J. J. Crisco, S. Pike, D. L. Hulsizer-Galvin, E. Akelman, A.-P. C. Weiss, and S. W. Wolfe, “Carpal bone postures and motions are abnormal in both wrists of patients with unilateral scapholunate interosseous ligament tears,” Journal of Hand Surgery, vol. 28, no. 6, pp. 926–937, 2003. View at Publisher · View at Google Scholar · View at Scopus
  28. T. M. Moojen, J. G. Snel, M. J. P. F. Ritt, H. W. Venema, J. M. G. Kauer, and K. E. Bos, “In vivo analysis of carpal kinematics and comparative review of the literature,” Journal of Hand Surgery, vol. 28, no. 1, pp. 81–87, 2003. View at Publisher · View at Google Scholar · View at Scopus
  29. M. J. Rainbow, R. N. Kamal, E. Leventhal et al., “In vivo kinematics of the scaphoid, lunate, capitate, and third metacarpal in extreme wrist flexion and extension,” Journal of Hand Surgery, vol. 38, no. 2, pp. 278–288, 2013. View at Publisher · View at Google Scholar · View at Scopus
  30. C. M. Cyr, A. F. Kamal, T. B. Sebastian, and B. B. Kimia, “2D-3D registration based on shape matching,” in Proceedings of the IEEE Workshop on Mathematical Methods in Biomedical Image Analysis, 2000, pp. 198–203, June 2000. View at Scopus
  31. H. Bülow, L. Dooley, and D. Wermser, “Application of principal axes for registration of NMR image sequences,” Pattern Recognition Letters, vol. 21, no. 4, pp. 329–336, 2000. View at Publisher · View at Google Scholar · View at Scopus
  32. S. Nardotto, R. Ferretti, L. Gemme, and S. Dellepiane, “Optimizing and evaluating a graph-based segmentation of MRI wrist bones,” in Proceedings of the New Trends in Image Analysis and Processing—ICIAP 2015 Workshops, pp. 159–166, Springer, Cham, Switzerland, August 2015. View at Publisher · View at Google Scholar · View at MathSciNet
  33. L. Gemme, S. Nardotto, and S. G. Dellepiane, “Automatic MPST-cut for segmentation of carpal bones from MR volumes,” Computers in Biology and Medicine, vol. 87, pp. 335–346, 2017. View at Publisher · View at Google Scholar