Hubless 3D Medical Image Bundle Registration

Rémi Agier, Sébastien Valette, Laurent Fanton, Pierre Croisille, Rémy Prost

2016

Abstract

We propose a hubless medical image registration scheme, able to conjointly register massive amounts of images. Exploiting 3D points of interest combined with global optimization, our algorithm allows partial matches, does not need any prior information (full body image as a central patient model) and exhibits very good robustness by exploiting inter-volume relationships. We show the efficiency of our approach with the rigid registration of 400 CT volumes, and we provide an eye-detection application as a first step to patient image anonymization.

References

  1. Allaire, S., Kim, J. J., Breen, S. L., Jaffray, D. A., and Pekar, V. (2008). Full orientation invariance and improved feature selectivity of 3d sift with application to medical image analysis. In IEEE Computer Vision and Pattern Recognition Workshops, 2008., pages 1-8. IEEE.
  2. August, J. and Kanade, T. (2005). The role of non-overlap in image registration. In Information Processing in Medical Imaging, pages 713-724. Springer.
  3. Bartoli, A., Pizarro, D., and Loog, M. (2013). Stratified generalized procrustes analysis. International Journal of Computer Vision, 101(2):227-253.
  4. Bay, H., Tuytelaars, T., and Van Gool, L. (2006). Surf: Speeded up robust features. In Computer VisionECCV 2006, pages 404-417. Springer.
  5. Frahm, J.-M., Fite-Georgel, P., Gallup, D., Johnson, T., Raguram, R., Wu, C., Jen, Y.-H., Dunn, E., Clipp, B., Lazebnik, S., et al. (2010). Building rome on a cloudless day. In Computer Vision-ECCV 2010, pages 368-381. Springer.
  6. Gass, T., Szekely, G., and Goksel, O. (2014). Multi-atlas segmentation and landmark localization in images with large field of view. InMedical Computer Vision: Algorithms for Big Data, pages 171-180. Springer.
  7. Harris, C. and Stephens, M. (1988). A combined corner and edge detector. In Alvey vision conference, volume 15, page 50. Manchester, UK.
  8. Hill, D. L., Batchelor, P. G., Holden, M., and Hawkes, D. J. (2001). Medical image registration. Physics in medicine and biology, 46(3):R1.
  9. Jacinto, H., Kéchichian, R., Desvignes, M., Prost, R., and Valette, S. (2012). A web interface for 3d visualization and interactive segmentation of medical images. In Web 3D 2012, pages 51-58, Los-Angeles, USA.
  10. Karlsson, N., Di Bernardo, E., Ostrowski, J., Goncalves, L., Pirjanian, P., and Munich, M. E. (2005). The vslam algorithm for robust localization and mapping. In IEEE Robotics and Automation, 2005. ICRA 2005, pages 24-29. IEEE.
  11. Khaissidi, G., Tairi, H., and Aarab, A. (2009). A fast medical image registration using feature points. ICGSTGVIP Journal, 9(3):19-24.
  12. Klein, G. and Murray, D. (2007). Parallel tracking and mapping for small ar workspaces. In Mixed and Augmented Reality, 2007. ISMAR 2007. 6th IEEE and ACM International Symposium on, pages 225-234. IEEE.
  13. Knopp, J., Prasad, M., Willems, G., Timofte, R., and Van Gool, L. (2010). Hough transform and 3d surf for robust three dimensional classification. In Computer Vision-ECCV 2010, pages 589-602. Springer.
  14. López, A. M., Lumbreras, F., Serrat, J., and Villanueva, J. J. (1999). Evaluation of methods for ridge and valley detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 21(4):327-335.
  15. Lowe, D. G. (1999). Object recognition from local scaleinvariant features. In Computer vision, 1999. The proceedings of the seventh IEEE international conference on, volume 2, pages 1150-1157. Ieee.
  16. Lowe, D. G. (2004). Distinctive image features from scaleinvariant keypoints. International Journal of Computer Vision, 60(2):91-110.
  17. Marsland, S., Twining, C. J., and Taylor, C. J. (2008). A minimum description length objective function for groupwise non-rigid image registration. Image and Vision Computing, 26(3):333 - 346. 15th Annual British Machine Vision Conference.
  18. Meer, P., Mintz, D., Rosenfeld, A., and Kim, D. Y. (1991). Robust regression methods for computer vision: A review. International journal of computer vision, 6(1):59-70.
  19. Pelizzari, C. A., Chen, G. T., Spelbring, D. R., Weichselbaum, R. R., and Chen, C.-T. (1989). Accurate threedimensional registration of ct, pet, and/or mr images of the brain. Journal of computer assisted tomography, 13(1):20-26.
  20. Pluim, J. P., Maintz, J. A., and Viergever, M. A. (2003). Mutual-information-based registration of medical images: a survey. Medical Imaging, IEEE Transactions on, 22(8):986-1004.
  21. Rosenman, J. G., Miller, E. P., Tracton, G., and Cullip, T. J. (1998). Image registration: an essential part of radiation therapy treatment planning. International Journal of Radiation Oncology* Biology* Physics, 40(1):197- 205.
  22. Sotiras, A., Davatzikos, C., and Paragios, N. (2013). Deformable medical image registration: A survey. Medical Imaging, IEEE Transactions on, 32(7):1153- 1190.
  23. Triggs, B., McLauchlan, P. F., Hartley, R. I., and Fitzgibbon, A. W. (2000). Bundle adjustment - a modern synthesis. In Vision algorithms: theory and practice, pages 298-372. Springer.
  24. Zheng, X., Zhou, M., and Wang, X. (2008). Interest point based medical image retrieval. In Medical Imaging and Informatics, pages 118-124. Springer.
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Paper Citation


in Harvard Style

Agier R., Valette S., Fanton L., Croisille P. and Prost R. (2016). Hubless 3D Medical Image Bundle Registration . In Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2016) ISBN 978-989-758-175-5, pages 265-272. DOI: 10.5220/0005666702650272


in Bibtex Style

@conference{visapp16,
author={Rémi Agier and Sébastien Valette and Laurent Fanton and Pierre Croisille and Rémy Prost},
title={Hubless 3D Medical Image Bundle Registration},
booktitle={Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2016)},
year={2016},
pages={265-272},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005666702650272},
isbn={978-989-758-175-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2016)
TI - Hubless 3D Medical Image Bundle Registration
SN - 978-989-758-175-5
AU - Agier R.
AU - Valette S.
AU - Fanton L.
AU - Croisille P.
AU - Prost R.
PY - 2016
SP - 265
EP - 272
DO - 10.5220/0005666702650272