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Abstract #0121

RF Power Deposition Optimization Algorithms for Thermal MR Targeting Human Brain Tumors

Eva Oberacker1, Andre Kuehne2, Cecilia Diesch1, Thomas Wilhelm Eigentler1, Jacek Nadobny3, Pirus Ghadjar3, Peter Wust3, and Thoralf Niendorf1,2,4
1Berlin Ultrahigh Field Facility (B.U.F.F.), Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany, 2MRI.TOOLS GmbH, Berlin, Germany, 3Clinic for Radiation Oncology, Charité Universitätsmedizin, Berlin, Germany, 4Experimental and Clinical Research Center (ECRC), joint cooperation between the Charité Medical Faculty and the Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany

Ultrahigh field (UHF) MR employs higher radio frequencies (RF) than conventional MR and has unique potential to provide focal temperature manipulation and high resolution imaging (ThermalMR). The advantage of integrated therapy monitoring allows the consideration of thermal interventions in brain tumor treatments. Optimization algorithms used to confine the RF power deposition to the target volume (TV) are under constant revision. This work compares three in-house developed optimization algorithms with the focus on power delivery to the target volume as well as sparing of the healthy tissue with a more commonly available approach.

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