3D Freehand Ultrasound Reconstruction Based on Probe Trajectory

  • Pierrick Coupé
  • Pierre Hellier
  • Noura Azzabou
  • Christian Barillot
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3749)


3D freehand ultrasound imaging is a very attractive technique in medical examinations and intra-operative stage for its cost and field of view capacities. This technique produces a set of non parallel B-scans which are irregularly distributed in the space. Reconstruction amounts to computing a regular lattice volume and is needed to apply conventional computer vision algorithms like registration. In this paper, a new 3D reconstruction method is presented, taking explicitly into account the probe trajectory. Experiments were conducted on different data sets with various probe motion types and indicate that this technique outperforms classical methods, especially on low acquisition frame rate.


Mean Square Error Time Stamp Distance Weight Radial Basis Function Distance Weight Method 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. 1.
    Barry, C.D., Allott, C.P., John, N.W., Mellor, P.M., Arundel, P.A., Thomson, D.S., Waterton, J.C.: Three dimensional freehand ultrasound: image reconstruction and volume analysis. Ultrasound in medecine and biology 23(8), 1209–1224 (1997)CrossRefGoogle Scholar
  2. 2.
    Penney, G.P., Schnabel, J.A., Rueckert, D., Viergever, M.A., Niessen, W.J.: Registration-based interpolation. IEEE Trans Med Imaging 23(7), 922–926 (2004)CrossRefGoogle Scholar
  3. 3.
    Prager, R.W., Gee, A.H., Berman, L.: Stradx: real-time acquisition and visualization of freehand three-dimensional ultrasound. Medical Image Analysis 3(2), 129–140 (1999)CrossRefGoogle Scholar
  4. 4.
    Rohling, R., Gee, A.H., Berman, L., Treece, G.M.: Radial Basis Function Interpolation for Freehand 3D Ultrasound. In: Kuba, A., Sámal, M., Todd-Pokropek, A. (eds.) IPMI 1999. LNCS, vol. 1613, pp. 478–483. Springer, Heidelberg (1999)CrossRefGoogle Scholar
  5. 5.
    Sanchez, J.M., Marques, J.S.: A rayleigh reconstruction/interpolation algorithm for 3D ultrasound. Pattern recognition letters 21, 917–926 (2000)CrossRefGoogle Scholar
  6. 6.
    Sherebrin, S., Fenster, A., Rankin, R.N., Spence, D.: Freehand three-dimensional ultrasound: implementation and applications. In: Van Metter, R.L., Beutel, J. (eds.) Proc. SPIE Medical Imaging 1996: Physics of Medical Imaging, vol. 2708, pp. 296–303 (April 1996)Google Scholar
  7. 7.
    Thévenaz, P., Blu, T., Unser, M.: Interpolation revisited. IEEE Transactions on Medical Imaging 19(7), 739–758 (2000)CrossRefGoogle Scholar
  8. 8.
    Trobaugh, J.W., Trobaugh, D.J., Richard, W.D.: Three dimensional imaging with stereotactic ultrasonography. Computerized Medical Imaging and Graphics 18(5), 315–323 (1994)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Pierrick Coupé
    • 1
  • Pierre Hellier
    • 1
  • Noura Azzabou
    • 1
  • Christian Barillot
    • 1
  1. 1.Project VisAGeS, IRISA – INRIA – INSERM, IRISA campus BeaulieuRennesFrance

Personalised recommendations