Share Email Print
cover

Proceedings Paper

Visualization of risk structures for interactive planning of image guided radiofrequency ablation of liver tumors
Author(s): Christian Rieder; Michael Schwier; Andreas Weihusen; Stephan Zidowitz; Heinz-Otto Peitgen
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

Image guided radiofrequency ablation (RFA) is becoming a standard procedure as a minimally invasive method for tumor treatment in the clinical routine. The visualization of pathological tissue and potential risk structures like vessels or important organs gives essential support in image guided pre-interventional RFA planning. In this work our aim is to present novel visualization techniques for interactive RFA planning to support the physician with spatial information of pathological structures as well as the finding of trajectories without harming vitally important tissue. Furthermore, we illustrate three-dimensional applicator models of different manufactures combined with corresponding ablation areas in homogenous tissue, as specified by the manufacturers, to enhance the estimated amount of cell destruction caused by ablation. The visualization techniques are embedded in a workflow oriented application, designed for the use in the clinical routine. To allow a high-quality volume rendering we integrated a visualization method using the fuzzy c-means algorithm. This method automatically defines a transfer function for volume visualization of vessels without the need of a segmentation mask. However, insufficient visualization results of the displayed vessels caused by low data quality can be improved using local vessel segmentation in the vicinity of the lesion. We also provide an interactive segmentation technique of liver tumors for the volumetric measurement and for the visualization of pathological tissue combined with anatomical structures. In order to support coagulation estimation with respect to the heat-sink effect of the cooling blood flow which decreases thermal ablation, a numerical simulation of the heat distribution is provided.

Paper Details

Date Published: 13 March 2009
PDF: 9 pages
Proc. SPIE 7261, Medical Imaging 2009: Visualization, Image-Guided Procedures, and Modeling, 726134 (13 March 2009); doi: 10.1117/12.813729
Show Author Affiliations
Christian Rieder, Fraunhofer MEVIS, Institute for Medical Image Computing (Germany)
Michael Schwier, Fraunhofer MEVIS, Institute for Medical Image Computing (Germany)
Andreas Weihusen, Fraunhofer MEVIS, Institute for Medical Image Computing (Germany)
Stephan Zidowitz, Fraunhofer MEVIS, Institute for Medical Image Computing (Germany)
Heinz-Otto Peitgen, Fraunhofer MEVIS, Institute for Medical Image Computing (Germany)


Published in SPIE Proceedings Vol. 7261:
Medical Imaging 2009: Visualization, Image-Guided Procedures, and Modeling
Michael I. Miga; Kenneth H. Wong, Editor(s)

© SPIE. Terms of Use
Back to Top