Koninklijke Philips Corporation N.V.

Zoi Tokoutsi

Ralph Theodorus Hubertus Maessen

Volkmar Schulz

Alfonso Agatino Isola

Marco Baragona

Valentina Lavezzo

Jacek Lukasz Kustra

Aaldert Jan Elevelt

Teresa Nolte

Martin Grepl

Karen Veroy-grepl

Bruno Jean François Frackowiak

Folke Charlotte Noertemann

Karen Veroy-Grepl

The invention relates to a planning apparatus () for determining an ablation probe parameter. A thermal energy determination unit determines, in a first part of a planning procedure, a first thermal energy distribution by using a thermal energy function like a Bioheat equation such that a temperature-based condition is fulfilled, which is indicative of a desired treatment outcome for a subject (). An ablation probe parameter determination unit determines, in a second part, the ablation probe parameter by using a second thermal energy function, which relates a second thermal energy distribution to be caused by the ablation probe () to b) the ablation probe parameter, such that a deviation between the first thermal energy distribution and the second thermal energy distribution fulfils a predefined deviation criterion. This dissection into two parts allows for an improved adaptability of the determination of the ablation probe parameter to different types of ablation procedures.

Planning apparatus for determining an ablation probe parameter for a single ablation probe or for multiple ablation probes

The invention relates to a therapy planning device for planning a therapy to be applied to tissue of a subject (). A tissue parameter distribution, which has been generated based on a magnetic resonance fingerprint scan of the tissue, and a therapy goal distribution, which defines a distribution of at least one parameter being indicative of a desired effect of the therapy, are provided. A machine learning module (), which has been trained to output at least one therapy application parameter defining the application of the therapy based on an input tissue parameter distribution and an input therapy goal distribution, is used for planning the therapy by determining the at least one therapy application parameter based on the provided tissue parameter distribution and the provided therapy goal distribution. This allows for a consideration of the actual quantitative tissue parameter distribution of the patient, thereby improving planning quality.

Therapy planning device

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EINDHOVEN, Netherlands

Zoi Tokoutsi