Model-based analysis of APT MRI has been shown to quantitatively outperform conventional approaches such as asymmetry analysis. However clinical application is hindered by slow acquisition of whole z-spectra, and processing times. Here, we demonstrate that by using only a subset of frequency offsets, acquisition and processing time can be reduced by ~70% and ~90%, respectively. Using an MCAO model of ischemic stroke, we demonstrate that our Reduced Frequency Offset approach is able to detect significant differences in APTR* between healthy and ischemic tissue.
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