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Pre- and Intra-operative Planning and Simulation of Percutaneous Tumor Ablation

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Medical Image Computing and Computer-Assisted Intervention – MICCAI 2000 (MICCAI 2000)
Pre- and Intra-operative Planning and Simulation of Percutaneous Tumor Ablation
  • Torsten Butz7,8,
  • Simon K. Warfield8,
  • Kemal Tuncali9,
  • Stuart G. Silverman9,
  • Eric van Sonnenberg9,
  • Ferenc A. Jolesz8 &
  • …
  • Ron Kikinis8 

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1935))

Included in the following conference series:

  • International Conference on Medical Image Computing and Computer-Assisted Intervention
  • 2877 Accesses

  • 44 Citations

Abstract

We developed a software tool for pre-operative simulation and planning, and intra-operative guidance, of minimally invasive tumor ablation, including radiofrequency-, laser- and cryo-therapy. This tool provides a pre- and intra-operative optimization of the treatment plan, in order to avoid dangerous probe trajectories, undertreatment of the tumor, and excessive ablation of healthy tissues.

The simulation is performed within a virtual operating-room consisting in essence of the patient’s segmented anatomy from pre- or intra-operatively acquired MR scans. Virtual probes can be placed into this scene and at the formation of ablated tissue at their tips can be simulated. To verify the simulated treatment plans, we introduced an objective quality measure which also enables a semi-automated optimal probe placement.

To show the use and to underline the importance of our tool, we investigated a cryo-therapy case which did not succeed. We show that our software would have predicted the failure of the chosen treatment plan and how it could have increased the efficacy of the procedure.

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Author information

Authors and Affiliations

  1. Swiss Federal Institute of Technology at Lausanne(EPFL), Signal Processing Laboratoy (LTS), CH-1015, Lausanne, Switzerland

    Torsten Butz

  2. Department of Radiology, Surgical Planning Laboratory,  

    Torsten Butz, Simon K. Warfield, Ferenc A. Jolesz & Ron Kikinis

  3. Department of Radiology, Brigham and Women’s Hospital and Harvard Medical School, 75 Francis Street, Boston, MA, 02115, USA

    Kemal Tuncali, Stuart G. Silverman & Eric van Sonnenberg

Authors
  1. Torsten Butz
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  2. Simon K. Warfield
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  3. Kemal Tuncali
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  4. Stuart G. Silverman
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  5. Eric van Sonnenberg
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  6. Ferenc A. Jolesz
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  7. Ron Kikinis
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Editor information

Editors and Affiliations

  1. Departments of Biomedical Engineering and Physical Medicine & Rehabilitation, Northwestern University & Sensory Motor Performance Program, Rehabilitation Institute of Chicago, Room 1406, 345 East Superior St., IL 60611, Chicago, U.S.A

    Scott L. Delp

  2. UPMC Shadyside Hospital and Carnegie Mellon University, 15232, Pittsburgh, PA, USA

    Anthony M. DiGoia

  3. Carnegie Mellon University, Pittsburgh, Pennsylvania, USA

    Branislav Jaramaz

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© 2000 Springer-Verlag Berlin Heidelberg

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Butz, T. et al. (2000). Pre- and Intra-operative Planning and Simulation of Percutaneous Tumor Ablation. In: Delp, S.L., DiGoia, A.M., Jaramaz, B. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2000. MICCAI 2000. Lecture Notes in Computer Science, vol 1935. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-40899-4_32

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  • DOI: https://doi.org/10.1007/978-3-540-40899-4_32

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-41189-5

  • Online ISBN: 978-3-540-40899-4

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Keywords

  • Tumor Ablation
  • Ablate Tissue
  • Virtual Scene
  • Freezing Cycle
  • Objective Quality Measure

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.

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