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Abstract #1029

The framework and AnalytiCally Represented Oxygen-17 BrAin Tumor (ACROBAT) phantom for optimization of CMRO2 quantification protocols in dynamic 17O-MRI.

Dmitry Kurzhunov1, Robert Borowiak1,2, Axel Krafft1,2, and Michael Bock1

1University Medical Center Freiburg, Dept. of Radiology - Medical Physics, Freiburg, Germany, 2German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), Heidelberg, Germany

Direct dynamic 17O-MRI allows quantification of the cerebral metabolic rate of oxygen consumption (CMRO2). The influence of acquisition parameters on the precision of CMRO2 quantification needs to be investigated for routine application, but the costly and rare 17O gas prohibits extensive imaging studies. Thus, in this work a flexible, Fourier domain-based simulation framework is presented and analytical tumor and numerical 17O MRI brain phantoms are utilized based on experimental 17O relaxation times and signal-to-noise ratios. Precision of CMRO2 quantification is evaluated and optimal acquisition parameters are given.

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