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 Borowiak^1,2, Axel Krafft^1,2, 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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