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Visualization support for the planning of hepatic needle placement

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International Journal of Computer Assisted Radiology and Surgery Aims and scope Submit manuscript

Abstract

Purpose

Percutaneous image-guided interventions, such as radiofrequency ablation or biopsy, are using needle-shaped instruments which have to be inserted into a target area without penetrating any vital structure. The established planning workflow is based on viewing 2D slices of a pre-interventional CT or MR scan. However, access paths not parallel to the axial plane are often necessary. For such complicated cases, the planning process is challenging and time consuming if solely based on 2D slices. To overcome these limitations while keeping the well-established workflow, we propose a visualization method that highlights less suited paths directly in the 2D visualizations with which the radiologist is familiar.

Methods

Based on a user defined target point and segmentation masks of relevant risk structures, a risk structure map is computed using GPU accelerated volume rendering and projected onto the 2D slices. This visualization supports the user in defining safe linear access paths by selecting a second point directly in the 2D image slices.

Results

In an evaluation for 20 liver radiofrequency ablation cases, 3 experienced radiologists stated for 55% of the cases that the visualization supported the access path choice. The visualization support was rated with an average mark of 2.2. For 2 of the 3 radiologists, a significant reduction of the planning duration by 54 and 50% was observed.

Conclusions

The proposed visualization approach can both accelerate the access path planning for radiofrequency ablation in the liver and facilitate the differentiation between safer and less safe paths.

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Authors and Affiliations

  1. Fraunhofer MEVIS — Institute for Medical Image Computing, Universitaetsallee 29, 28359, Bremen, Germany

    Christian Schumann, Jennifer Bieberstein, Stefan Braunewell & Heinz-Otto Peitgen

  2. Siemens AG Healthcare Sector, Forchheim, Germany

    Matthias Niethammer

Authors
  1. Christian Schumann
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  2. Jennifer Bieberstein
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  3. Stefan Braunewell
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  4. Matthias Niethammer
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  5. Heinz-Otto Peitgen
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Corresponding author

Correspondence to Christian Schumann.

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Schumann, C., Bieberstein, J., Braunewell, S. et al. Visualization support for the planning of hepatic needle placement. Int J CARS 7, 191–197 (2012). https://doi.org/10.1007/s11548-011-0624-y

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  • DOI: https://doi.org/10.1007/s11548-011-0624-y

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