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Abstract #3083

T1 quantification in fast field-cycling MRI using model-based reconstruction

Oliver Maier1, Markus Bödenler1,2, Rudolf Stollberger1,3, Mary-Joan MacLeod4, Lionel M Broche5, and Hermann Scharfetter1
1Graz University of Technology, Graz, Austria, 2Institute of eHealth, University of Applied Sciences FH JOANNEUM, Graz, Austria, 3BioTechMed Graz, Graz, Austria, 4Acute Stroke Unit, Aberdeen Royal Infirmary, Aberdeen, United Kingdom, 5Aberdeen Biomedical Imaging Centre, Univeresity of Aberdeen, Aberdeen, United Kingdom

T1 maps from fast field-cycling (FFC) MRI can provide insights to structural information and dynamics of molecular system not accessible by traditional MRI. The low SNR associated with the lower field strength in FFC imaging (0.2 T - 50 µT) leads to long acquisition times, impairing its clinical applicability. Hence, we propose a model-based reconstruction strategy to reduce acquisition time and improve image quality of multi-field T1 maps. The method is compared to standard fitting on numerical phantoms and a in vivo stroke patient. Model-based reconstruction clearly outperformed standard fitting, reducing noise and revealing previously unseen details in low-field T1 maps.

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