Abstract #2245

What are the effects of adding macromolecules to the basis set on metabolite quantification reproducibility and accuracy? A comparison of different macromolecular models for FID-MRSI in the brain at 7T

Eva Heckova¹, Michal Považan², Bernhard Strasser³, Stanislav Motyka¹, Gilbert Hangel¹, Lukas Hingerl¹, Philipp Moser¹, Stephan Gruber¹, Siegfried Trattnig^1,4, and Wolfgang Bogner^1,4

¹High Field MR Centre, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria, ²Russell H. Morgan Department of Radiology and Radiological Science, The John Hopkins University School of Medicine, Baltimore, MD, United States, ³Athinoula A. Martinos Center for Biomedical Imaging,Department of Radiololy, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, United States, ⁴Christian Doppler Laboratory for Clinical Molecular Imaging, Vienna, Austria

This work investigates the influence of different macromolecular baseline models on the reliability and test-retest reproducibility of metabolite quantification for clinically attractive ~5min 2D-FID-MRSI with nominal voxel volume 3.4×3.4×8mm³. We confirmed that FID-MRSI with adequate MM prior knowledge provides highly reproducible (CV<11%) and reliable results (ICC>0.75) for the common metabolites even when using more flexible parameterized MM models.

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