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Abstract #1543

Creating patient-specific computational head models for the study of tissue-electric field interactions using deformable templates

Noa Urman1, Shay Levi1, Avital Frenkel1, Ariel Naveh1, Doron Manzur1, Gitit Lavy-Shahaf1, Hadas Sara Hershkovich1, Cornelia Wenger2, Ofir Yesharim1, Eilon Kirson1, and Ze'ev Bomzon1

1Novocure, Haifa, Israel, 2Novocure GbmH, Root, Switzerland

Tumor Treating Fields (TTFields) are electric fields at an intermediate frequency approved for treatment of Glioblastoma Multiforme. Understanding how TTFields distribution in the brain influences disease progression can be studied using numerical simulations. Creation of computational patient models involves accurate segmentation of patient MRIs, a task that cannot be performed automatically, and is therefore time-consuming. We present a method for rapidly creating patient head models using a healthy head model as a deformable template. The method is robust even when MRI data quality is low. It is enabling a study correlating the spatial distribution of TTFields and patient outcome.

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