Image-to-Physical Registration for Image-Guided Interventions Using 3-D Ultrasound and an Ultrasound Imaging Model

  • Andrew P. King
  • Ying-Liang Ma
  • Cheng Yao
  • Christian Jansen
  • Reza Razavi
  • Kawal S. Rhode
  • Graeme P. Penney
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5636)


We present a technique for automatic intensity-based image-to-physical registration of a 3-D segmentation for image-guided interventions. The registration aligns the segmentation with tracked and calibrated 3-D ultrasound (US) images of the target region. The technique uses a probabilistic framework and explicitly incorporates a model of the US image acquisition process. The rigid body registration parameters are varied to maximise the likelihood that the real US image(s) were formed using the US imaging model from the probe transducer position. The proposed technique is validated on images segmented from cardiac magnetic resonance imaging (MRI) data and 3-D US images acquired from 3 volunteers and 1 patient. We show that the accuracy of the algorithm is 2.6-4.2mm and the capture range is 9-18mm. The proposed technique has the potential to provide accurate image-to-physical registrations for a range of image guidance applications.


Root Mean Square Magnetic Resonance Imaging Image Imaging Model Segmented Image Registration Result 
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  1. 1.
    Roche, A., Pennec, X., Malandain, G., Ayache, N.: Rigid registration of 3D ultrasound with MR images: A new approach combining intensity and gradient information. IEEE Transactions on Medical Imaging 20, 1038–1049 (2001)CrossRefGoogle Scholar
  2. 2.
    Leroy, A., Mozer, P., Payan, Y., Troccaz, J.: Rigid registration of freehand 3D ultrasound and CT-scan kidney images. In: Barillot, C., Haynor, D.R., Hellier, P. (eds.) MICCAI 2004. LNCS, vol. 3216, pp. 837–844. Springer, Heidelberg (2004)CrossRefGoogle Scholar
  3. 3.
    Penney, G.P., Blackall, J.M., Hamady, M.S., Sabharwal, T., Adam, A., Hawkes, D.J.: Registration of freehand 3D ultrasound and magnetic resonance liver images. Medical Image Analysis 8, 81–91 (2004)CrossRefGoogle Scholar
  4. 4.
    Huang, X., Hill, N.A., Ren, J., Peters, T.M.: Rapid registration of multimodal images using a reduced number of voxels. In: Proceedings SPIE Medical Imaging, vol. 6141 (2006)Google Scholar
  5. 5.
    Wein, W., Brunke, S., Khamene, A., Callstrom, M.R., Navab, N.: Automatic CT-ultrasound registration for diagnostic imaging and image-guided intervention. Medical Image Analysis 12, 577–585 (2008)CrossRefGoogle Scholar
  6. 6.
    Cardinal, M.R., Meunier, J., Soulez, G., Maurice, R.L., Therasse, E., Cloutier, G.: Intravascular ultrasound image segmentation: A three-dimensional fast-marching method based on gray level distributions. IEEE Transactions on Medical Imaging 25(5), 590–601 (2006)CrossRefGoogle Scholar
  7. 7.
    Shams, R., Hartley, R., Navab, N.: Real-time simulation of medical ultrasound from CT images. In: Metaxas, D., Axel, L., Fichtinger, G., Székely, G. (eds.) MICCAI 2008, Part II. LNCS, vol. 5242, pp. 734–741. Springer, Heidelberg (2008)CrossRefGoogle Scholar
  8. 8.
    Zhuang, X., Hawkes, D.J., Crum, W.R., Boubertakh, R., Uribe, S., Atkinson, D., Batchelor, P., Schaeffter, T., Razavi, R., Hill, D.L.G.: Robust registration between cardiac MRI images and atlas for segmentation propagation. In: Proceedings SPIE Medical Imaging (2008)Google Scholar
  9. 9.
    Maurer Jr., C., Qi, R., Raghavan, V.: A linear time algorithm for computing exact Euclidean distance transforms of binary images in arbitrary dimensions. IEEE Transactions on Pattern Analysis and Machine Intelligence 25(2), 265–269 (2003)CrossRefGoogle Scholar
  10. 10.
    Webb, S. (ed.): The Physics of Medical Imaging. Institute of Physics Publishing (1988)Google Scholar
  11. 11.
    Sanches, J.M., Marques, J.S.: Compensation of log-compressed images for 3-d ultrasound. Ultrasound in Medicine and Biology 29(2), 239–253 (2003)CrossRefGoogle Scholar
  12. 12.
    Dias, J.M.B., Leitão, J.M.N.: Wall position and thickness estimation from sequences of echocardiographic images. IEEE Transactions on Medical Imaging 15(1), 25–38 (1996)CrossRefGoogle Scholar
  13. 13.
    Nillesen, M.M., Lopata, R.G.P., Gerrits, I.H., Kapusta, L., Thussen, J.M., de Korte, C.L.: Modeling envelope statistics of blood and myocardium for segmentation of echocardiographic images. Ultrasound in Medicine and Biology 34(4), 674–680 (2008)CrossRefGoogle Scholar
  14. 14.
    Tao, Z., Tagare, H.D., Beaty, J.D.: Evaluation of four probability distribution models for speckle in clinical cardiac ultrasound images. IEEE Transactions on Medical Imaging 25(11), 1483–1492 (2006)CrossRefGoogle Scholar
  15. 15.
    Goldstein, A., Madrazo, B.: Slice-thickness artifacts in gray-scale ultrasound. J. Clin. Ultrasound 9, 365–375 (1981)CrossRefGoogle Scholar
  16. 16.
    Feng, D.D.: Biomedical Information Technology. Academic Press, London (2008)Google Scholar
  17. 17.
    Ma, Y.L., Rhode, K.S., Gao, G., King, A.P., Chinchapatnam, P., Schaeffter, T., Hawkes, D.J., Razavi, R., Penney, G.P.: Ultrasound calibration using intensity-based image registration: For application in cardiac catheterization procedures. In: Proceedings SPIE Medical Imaging (2008)Google Scholar
  18. 18.
    Grau, V., Becher, H., Noble, A.: Registration of multiview real-time 3-D echocardiographic sequences. IEEE Transactions on Medical Imaging 26(9), 1154–1165 (2007)CrossRefGoogle Scholar
  19. 19.
    Rhode, K.S., Hill, D.L.G., Edwards, P.J., Hipwell, J., Rueckert, D., Sanchez-Ortiz, G., Hegde, S., Rahunathan, V., Razavi, R.: Registration and tracking to integrate X-ray and MR images in an XMR facility. IEEE Transactions on Medical Imaging 22(11), 1369–1378 (2003)CrossRefGoogle Scholar
  20. 20.
    Ma, Y.L., Rhode, K.S., King, A.P., Cauldfield, D., Cooklin, M., Razavi, R., Penney, G.P.: Echocardiography to magnetic resonance image registration for use in image-guided electrophysiology procedures. In: Proceedings SPIE Medical Imaging (2009)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Andrew P. King
    • 1
  • Ying-Liang Ma
    • 1
  • Cheng Yao
    • 1
  • Christian Jansen
    • 1
  • Reza Razavi
    • 1
  • Kawal S. Rhode
    • 1
  • Graeme P. Penney
    • 1
  1. 1.Division of Imaging SciencesKing’s College LondonU.K.

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