MRI-based mapping of oxygen extraction fraction with QSM and qBOLD is a non-invasive diagnostic tool with many possible applications. But current reconstruction methods based on quasi-Newton (QN) methods are very dependent on accurate parameter initialization. We compare the standard QN method with a clustering approach, and with a new initialization method in form of an ANN, which we previously developed to replace QN. This leads to reconstructed images with much less noise, compared to the direct output of the ANN and keeps the effect of reduced intersubject variability.
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