Segmentation of Stochastic Images using ... - Jacobs University

Appendix A
Publications Written During the Course
of the Thesis
Parts of the results of this thesis are already published or submitted for publication. Besides the
publications related to this thesis, the author published results about the simulation of radio frequency
(RF) ablation. We give a short introduction into RF ablation before we list the papers.
A.1 Publications Related to Stochastic Images
[1] T. Pätz, R. M. Kirby, and T. Preusser. Ambrosio-Tortorelli segmentation of stochastic images:
Model extensions, theoretical investigations and numerical methods. Submitted to International
Journal of Computer Vision, 2011.
[2] T. Pätz, R. M. Kirby, and T. Preusser. Segmentation of stochastic images using stochastic extensions
of the Ambrosio-Tortorelli and the random walker model. PAMM, 11(1):859–860, 2011.
[3] T. Pätz and T. Preusser. Ambrosio-Tortorelli segmentation of stochastic images. In K. Daniilidis,
P. Maragos, and N. Paragios, editors, Computer Vision - ECCV 2010, volume 6315 of Lecture
Notes in Computer Science, pages 254–267. Springer Berlin / Heidelberg, 2010. (This paper
received the ECCV 2010 Best Student Paper Award.).
[4] T. Pätz and T. Preusser. Segmentation of stochastic images using level set propagation with
uncertain speed. In preparation, 2011.
[5] T. Pätz and T. Preusser. Segmentation of stochastic images with a stochastic random walker
method. Submitted to IEEE Transactions on Image Processing, 2011.
[6] T. Pätz and T. Preusser. Variational image segmentation using stochastic parameters. In preparation,
2011.
A.2 Publications Related to Radiofrequency Ablation
RF ablation is a minimally invasive technique for a local ablation of abnormal tissue, like primary or
metastatic cancer. During the last years, RF ablation has become an alternative to the surgical resection
of the tumor. At the beginning of the treatment, an internally cooled RF probe is percutaneously
placed inside the tissue and connected to an RF generator. The generator delivers an electric current
in the radio-frequency range (typically 500 kHz) with a power between 25W and 200W. Due to the
electric impedance, the tissue close to the probe is heated and above 60 ◦ C it is destroyed.
The modeling and simulation of RF ablation is a multiple investigated research topic (see [20] for
a review). Many scientists presented simulations with varying detail, because multiple biophysical
effects take place during the ablations. Another challenge is the modeling of the physical parameters
influencing the ablation outcome, because these parameters are (nonlinearly) influenced by biophysical
effects. For example, the electric conductivity is nonlinearly dependent on the temperature, the
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