Fast Image Registration for Time-critical Medical Applications

This research is funded by the Dutch Organization for Scientific Research, grant number NWO VENI 639.021.124, by NWO NRG 2010.02 and the Chinese Scholarship Council (CSC 201206130066).
June 2011 - December 2017
Principal investigator: dr. Marius Staring

In the modern operating room intra-operatively acquired imaging data is used amongst others for navigation, the guidance of surgery, and radiotherapy. These intra-operative images are then spatially related to pre-operative images from a treatment plan, based on Computed Tomography (CT) or Magnetic Resonance Imaging (MRI). This matching can be complex due to patient repositioning and continuous organ motion. The spatial relation between the data can be found by an image registration procedure. Currently, this procedure is very slow, rendering it unusable in this setting, since physicians have to act promptly. This project focuses at increasing performance of image registration, aiming at near real-time (i.e. online) solutions. This greatly facilitates image guidance in time-critical clinical procedures.

To this end existing nonrigid image registration algorithms need to be revised. We will pursue research directions based on efficient (optimization) methods and implementations, in combination with parallel optimization techniques. The image registration package elastix will be extended by the developed techniques.

This research is supported by the Dutch Organization for Scientific Research (NWO VENI, NWO NRG) and the Chinese Scholarship Council. Results are available via the image registration toolkit elastix.

Associated researchers

Publications

  1. Y. Qiao, B. van Lew, B.P.F. Lelieveldt and M. Staring, "Fast Automatic Step Size Estimation for Gradient Descent Optimization of Image Registration," IEEE Transactions on Medical Imaging, vol. 35, no. 2, pp. 391 - 403, February 2016.
  2. Y. Qiao, Z. Sun, B.P.F. Lelieveldt and M. Staring, "A Stochastic Quasi-Newton Method for Non-rigid Image Registration," Medical Image Computing and Computer-Assisted Intervention, Lecture Notes in Computer Science, vol. 9350, pp. 297 - 304, September 2015.
  3. R. Shahzad, O. Dzyubachyk, M. Staring, J. Kullberg, L. Johansson, H. Ahlstrom, B.P.F. Lelieveldt, R.J. van der Geest, Automated Extraction and Labelling of the Arterial Tree from Whole-Body MRA Data, Medical Image Analysis, vol. 24, no. 1, pp. 28 - 40, August 2015.
  4. Y. Qiao, B.P.F. Lelieveldt and M. Staring, "Fast automatic estimation of the optimization step size for nonrigid image registration," SPIE Medical Imaging: Image Processing, Proceedings of SPIE, vol. 9034, pp. 90341A, February 2014.
  5. N.N. Smit, B. Klein Haneveld, M. Staring, E. Eisemann, C.P. Botha and A. Vilanova, "RegistrationShop: An Interactive 3D Medical Volume Registration System," Eurographics Workshop on Visual Computing for Biology and Medicine, pp. 145 - 153, September 2014.
  6. B.C. Stoel, H.A. Marquering, M. Staring, L.F. Beenen, C.H. Slump, Y.B. Roos and C.B. Majoie, "Automated brain computed tomographic densitometry of early ischemic changes in acute stroke," Journal of Medical Imaging, vol. 2, no. 1, pp. 014004, March 2015.
  7. Y. Qiao, B.P.F. Lelieveldt and M. Staring, "Fast automatic estimation of the optimization step size for nonrigid image registration," SPIE Medical Imaging: Image Processing, Proceedings of SPIE, vol. 9034, pp. 90341A, February 2014.
  8. D.P. Shamonin, E.E. Bron, B.P.F. Lelieveldt, M. Smits, S. Klein and M. Staring, "Fast Parallel Image Registration on CPU and GPU for Diagnostic Classification of Alzheimer's Disease," Frontiers in Neuroinformatics, vol. 7, no. 50, pp. 1-15, January 2014.
  9. N. Baka, B.L. Kaptein, J.E. Giphart, M. Staring, M. de Bruijne, B.P.F. Lelieveldt and E. Valstar, "Evaluation of automated statistical shape model based knee kinematics from biplane fluoroscopy," Journal of Biomechanics, vol. 47, no. 1, pp. 122 - 129, January 2014.
  10. L. Mengler, A. Khmelinskii, M. Diedenhofen, C. Po, M. Staring, B.P.F. Lelieveldt and M. Hoehn, "Brain maturation of the adolescent rat cortex and striatum: changes in volume and myelination," NeuroImage, vol. 84, no. 1, pp. 35-44, January 2014.
  11. R. van ’t Klooster, M. Staring, S. Klein, R.M. Kwee, M.E. Kooi, J.H.C. Reiber, B.P.F. Lelieveldt and R.J. van der Geest, "Automated registration of multispectral MR vessel wall images of the carotid artery," Medical Physics, vol. 40, no. 12, pp. 121904-1 - 121904-12, December 2013.
  12. O. Dzyubachyk, R.J. van der Geest, M. Staring, P. Börnert, M. Reijnierse, J.L. Bloem and B.P.F. Lelieveldt, "Joint Intensity Inhomogeneity Correction for Whole-Body MR Data," Medical Image Computing and Computer-Assisted Intervention, Lecture Notes in Computer Science, vol. 8149, pp. 106 - 113, September 2013.
  13. O. Dzyubachyk, J. Blaas, C.P. Botha, M. Staring, M. Reijnierse, J.L. Bloem, R.J. van der Geest and B.P.F. Lelieveldt, "Comparative Exploration of Whole-Body MR through Locally Rigid Transforms," International Journal of Computer Assisted Radiology and Surgery, vol. 8, no. 4, pp. 635 - 647, July 2013.
  14. A. Khmelinskii, L. Mengler, P. Kitslaar, M. Staring, M. Hoehn and B.P.F. Lelieveldt, "A visualization platform for high-throughput, follow-up, co-registered multi-contrast MRI rat brain data," SPIE Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, Proceedings of SPIE, vol. 8672, pp. 86721W, February 2013.
  15. D.P. Shamonin, M. Staring, An OpenCL implementation of the Gaussian pyramid and the resampler, Insight Journal, December 2012.
  16. S. Klein, M. Staring, P. Andersson and J.P.W. Pluim, "Preconditioned Stochastic Gradient Descent Optimisation for Monomodal Image Registration," Medical Image Computing and Computer-Assisted Intervention, Lecture Notes in Computer Science, vol. 6892, pp. 549 - 556, September 2011.
  17. T. Farago, H. Nikolov, S. Klein, J.H.C. Reiber and M. Staring, "Semi-Automatic Parallelisation for Iterative Image Registration with B-splines," Medical Image Computing and Computer-Assisted Intervention, High Performance workshop, September 2011.