Abstract #2249
Characterization of tumor mechanical properties in glioma patients using 3D phase-gradient inversion in multifrequency MR elastography
Mehrgan Shahryari1, Pablo Gottheil2, Elisabeth Gertrud Hain3, Helge Herthum4, Heiko Tzschätzsch1, Tom Meyer1, Josef Alfons Käs2, Eberhard Siebert5, Vincent Prinz6,7, and Ingolf Sack1
1Department of Radiology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany, 2Faculty of Physics and Earth Sciences, Peter Debye Institute, Leipzig University, Leipzig, Germany, 3Department of Neuropathology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany, 4Institute of Medical Informatics, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany, 5Institute of Neuroradiology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany, 6Department of Neurosurgery, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany, 7Department of Neurosurgery, University Hospital Frankfurt, Frankfurt am Main, Germany
Synopsis
Clinical MRI is an important method for the delineation and characterization of gliomas for resection planning and therapy monitoring in neurosurgery. Here, we used a 3D curl- and phase-gradient based inversion algorithm in multifrequency magnetic resonance elastography (MRE) to generate maps of the mechanical tumor properties, wave speed and wave damping. Overall, our method improved the spatial resolution of MRE maps in glioma patients and allowed precise measurement of tumor mechanical properties. In the future, the method could help with characterization, surgical planning and treatment monitoring of neuro tumors.
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