Minimally invasive procedures have been gaining ground in recent years, due to the many advantages they offer by reducing the operation costs, the patients recovery time and discomfort and the
risk of side-effects and infection. For the purposes of this project we focus on thermal based ablation of hepatic lesions. In particular we aim at improving the planning and guidance tools for
radio-frequency based ablation treatments, by providing information to the physician, such as the optimal placement of the needle and the outcome of the ablation, prior and during the operation.
1. Development of a multi-scale biophysics model, which accounts for the cooling effect caused by blood vessels during RF ablation. The model should be accurate and fast enough for clinical use..
2. Improving the accuracy and effectiveness of ablation treatments, by developing reliable and computationally efficient optimization routines, which can be used not only for pre-operative
planning, but also during the treatment.
3. Development of reliable experimental validation methods for the above described numerical models. The validation can rely either on the measurement of temperature fields or on the assessment
of the size of the ablation zones. An ultimate goal, of this experimental part would be a real-time feedback to the planning tool to enable an adaptive therapy.