Robotic Assistant for Transperineal Prostate Interventions in 3T Closed MRI

  • Gregory S. Fischer
  • Simon P. DiMaio
  • Iulian I. Iordachita
  • Gabor Fichtinger
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4791)

Abstract

Numerous studies have demonstrated the efficacy of image-guided needle-based therapy and biopsy in the management of prostate cancer. The accuracy of traditional prostate interventions performed using transrectal ultrasound (TRUS) is limited by image fidelity, needle template guides, needle deflection and tissue deformation. Magnetic Resonance Imaging (MRI) is an ideal modality for guiding and monitoring such interventions due to its excellent visualization of the prostate, its sub-structure and surrounding tissues. We have designed a comprehensive robotic assistant system that allows prostate biopsy and brachytherapy procedures to be performed entirely inside a 3T closed MRI scanner. We present a detailed design of the robotic manipulator and an evaluation of its usability and MR compatibility.

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References

  1. 1.
    Jemal, A., Siegel, R., Ward, E., Murray, T., Xu, J., Smigal, C., Thun, M.: Cancer statistics, 2006. CA Cancer J. Clin. 56(2), 106–130 (2004)CrossRefGoogle Scholar
  2. 2.
    Terris, M.K., et al.: Comparison of mid-lobe versus lateral systematic sextant biopsies in detection of prostate cancer. Urol Int. 59, 239–242 (1997)CrossRefGoogle Scholar
  3. 3.
    D’Amico, A.V., Tempany, C.M., Cormack, R., Hata, N., et al.: Transperineal magnetic resonance image guided prostate biopsy. J. Urol. 164(2), 385–387 (2000)CrossRefGoogle Scholar
  4. 4.
    Beyersdorff, D., Winkel, A., Hamm, B., et al.: MRI-guided prostate biopsy with a closed MR unit at 1.5 T. Radiology 234, 576–581 (2005)CrossRefGoogle Scholar
  5. 5.
    Krieger, A., Susil, R.C., Menard, C., Coleman, J.A., Fichtinger, G., Atalar, E., Whitcomb, L.L.: Design of a novel MRI compatible manipulator for image guided prostate interventions. IEEE TBME 52, 306–313 (2005)Google Scholar
  6. 6.
    Masamune, K., Kobayashi, E., Masutani, Y., Suzuki, M., Dohi, T., Iseki, H., Takakura, K.: Development of an MRI-compatible needle insertion manipulator for stereotactic neurosurgery. J. Image Guid. Surg. 1(4), 242–248 (1995)CrossRefGoogle Scholar
  7. 7.
    Hempel, E., Fischer, H., Gumb, L., et al.: An MRI-compatible surgical robot for precise radiological interventions. In: CAS, pp. 180–191 (2003)Google Scholar
  8. 8.
    Chinzei, K., Hata, N., Jolesz, F.A., Kikinis, R.: MR compatible surgical assist robot: system integration and preliminary feasibility study. In: Delp, S.L., DiGoia, A.M., Jaramaz, B. (eds.) MICCAI 2000. LNCS, vol. 1935, pp. 921–933. Springer, Heidelberg (2000)Google Scholar
  9. 9.
    DiMaio, S.P., Pieper, S., Chinzei, K., Fichtinger, G., Tempany, C., Kikinis, R.: Robot assisted percutaneous intervention in open-MRI. In: MRI Symp. p. 155 (2004)Google Scholar
  10. 10.
    Muntener, M., Patriciu, A., Petrisor, D., Mazilu, D., Bagga, H., Kavoussi, L., Cleary, K., Stoianovici, D.: MRI compatible robotic system for fully automated brachytherapy seed placement. J. Urology 68, 1313–1317 (2006)CrossRefGoogle Scholar
  11. 11.
    Taillant, E., Avila-Vilchis, J., Allegrini, C., Bricault, I., Cinquin, P.: CT and MR Compatible Light Puncture Robot: Architectural Design and First Experiments. In: Barillot, C., Haynor, D.R., Hellier, P. (eds.) MICCAI 2004. LNCS, vol. 3217, pp. 145–152. Springer, Heidelberg (2004)Google Scholar
  12. 12.
    Gassert, R., Moser, R., Burdet, E., Bleuler, H.: MRI/fMRI-Compatible Robotic System With Force Feedback for Interaction With Human Motion. T. Mech. 11(2), 216–224 (2006)Google Scholar
  13. 13.
    DiMaio, S., Samset, E., Fischer, G., Iordachita, I., Fichtinger, G., Jolesz, F., Tempany, C.: Dynamic MRI Scan Plane Control for Passive Tracking of Instruments and Devices. In: Ayache, N., Ourselin, S., Maeder, A. (eds.) MICCAI 2007. LNCS, vol. 4792, pp. 50–58. Springer, Heidelberg (2007)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Gregory S. Fischer
    • 1
  • Simon P. DiMaio
    • 2
  • Iulian I. Iordachita
    • 1
  • Gabor Fichtinger
    • 1
  1. 1.Center for Computer Integrated Surgery, Johns Hopkins UniversityUSA
  2. 2.Surgical Planning Lab, Harvard UniversityUSA .

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