Real-time optimization of thermal ablation cancer treatments

Zoi Tokoutsi, Martin Grepl, Karen Veroy, Marco Baragona, Ralph Maessen

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review


Motivated by thermal ablation treatments for prostate cancer, the current work investigates the optimal delivery of heat in tissue. The problem is formulated as an optimal control problem constrained by a parametrized partial differential equation (PDE) which models the heat diffusion in living tissue. Geometry and material parameters as well as a parameter entering through the boundary condition are considered. Since there is a need for real-time solution of the treatment planning problem, we introduce a reduced order approximation of the optimal control problem using the reduced basis method. Numerical results are presented that highlight the accuracy and computational efficiency of our reduced model.

Original languageEnglish
Title of host publicationNumerical Mathematics and Advanced Applications ENUMATH 2017
EditorsFlorin Adrian Radu, Kundan Kumar, Inga Berre, Jan Martin Nordbotten, Iuliu Sorin Pop
Number of pages9
ISBN (Print)9783319964140
Publication statusPublished - 2019
Externally publishedYes
EventEuropean Conference on Numerical Mathematics and Advanced Applications : ENUMATH 2017 - Voss, Norway
Duration: 25 Sept 201729 Sept 2017

Publication series

NameLecture Notes in Computational Science and Engineering
ISSN (Print)1439-7358


ConferenceEuropean Conference on Numerical Mathematics and Advanced Applications
Abbreviated titleENUMATH 2017


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