Medizinische Universität Graz Austria/Österreich - Forschungsportal - Medical University of Graz
Gewählte Publikation:
SHR Neuro Krebs Kardio Lipid Stoffw Microb
Alhonnoro, T; Pollari, M; Lilja, M; Flanagan, R; Kainz, B; Muehl, J; Mayrhauser, U; Portugaller, H; Stiegler, P; Tscheliessnigg, K.
Vessel segmentation for ablation treatment planning and simulation.
Med Image Comput Comput Assist Interv. 2010; 13(Pt 1): 45-52.
PubMed
- Co-Autor*innen der Med Uni Graz
- Mayrhauser Ursula
- Portugaller Rupert
- Stiegler Philipp
- Tscheliessnigg Karlheinz
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- Abstract:
- In this paper, a novel segmentation method for liver vasculature is presented, intended for numerical simulation of radio frequency ablation (RFA). The developed method is a semiautomatic hybrid based on multi-scale vessel enhancement combined with ridge-oriented region growing and skeleton-based postprocessing. In addition, an interactive tool for segmentation refinement was developed. Four instances of three-phase contrast enhanced computed tomography (CT) images of porcine liver were used in the evaluation. The results showed improved accuracy over common approaches and illustrated the method's suitability for simulation purposes.
- Find related publications in this database (using NLM MeSH Indexing)
- Algorithms -
- Angiography - methods
- Animals -
- Catheter Ablation - methods
- Computer Simulation -
- Liver - blood supply
- Models, Biological -
- Pattern Recognition, Automated - methods
- Preoperative Care - methods
- Radiographic Image Enhancement - methods
- Radiographic Image Interpretation, Computer-Assisted - methods
- Reproducibility of Results -
- Sensitivity and Specificity -
- Surgery, Computer-Assisted - methods
- Swine -
- Tomography, X-Ray Computed - methods