Radiation therapy presents an effective and non-invasive option for cancer treatment. However, the use of ionizing radiation can also be harmful and the effects and side-effects of irradiation need to be balanced. We develop algorithms and systems to identify the optimal trade-off among the various objectives, e.g., dose in the target, dose in critical structures, or treatment time.

3D Inverse Planning

Interactive Multi-Criteria Optimization

Planning for Motion Compensated Treatments

References

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  • T. Viulet, O. Blanck, A. Schlaefer (2014). Analysis of Spatial Trade-Offs for a Spinal SRS Case. Medical Physics. 41 (231), [doi] [BibTex]

  • A. Schlaefer, T. Viulet, A. Muacevic, C. Fürweger (2013). Multicriteria optimization of the spatial dose distribution. Med Phys. 40 (12), 121720. [doi] [BibTex]

  • A. Schlaefer, S. Dieterich (2011). Feasibility of case-based beam generation for robotic radiosurgery. Artif Intell Med. 52 (2), 67--75. [doi] [BibTex]

  • T. Viulet, N. Rzezovski, A. Schlaefer (2011). Towards interactive planning for radiotherapy by three-dimensional iso-dose manipulation. [BibTex]

  • T. Viulet, N. Rzezovski, A. Schlaefer (2011). Three-Dimensional Isodose Surface Manipulation for Multi-Criteria Inverse Planning in Radiosurgery. [doi] [BibTex]

  • A. Schlaefer, T. Wolschon (2010). Optimizing the Trade-Off Between Number of Beam Starting Points and Plan Quality in Robotic Radiosurgery. [BibTex]