Accelerated Simultaneous T2 and T2* Mapping of Multiple Sclerosis Lesions Using Compressed Sensing Reconstruction of 2in1-RARE-EPI Data
Carl Julius Jacob Herrmann1, Ludger Starke1,2, Jason M. Millward1, Friedemann Paul3,4,5, Joseph Kuchling3,4,5, and Thoralf Niendorf1,3
1Berlin Ultrahigh Field Facility, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany, 2Digital Health - Machine Learning Research Group, Digital Health Center, Hasso Plattner Institute, University of Potsdam, Potsdam, Germany, 3Experimental und Clinical Research Center (ECRC), a joint cooperation between the Charité Medical Faculty and the Max Delbrück Center for Molecular Medicine, Berlin, Germany, 4NeuroCure Clinical Research Center, Charité Medical Faculty, Berlin, Germany, 5Department of Neurology, Charité Medical Faculty, Berlin, Germany
We previously applied a radially-sampled RARE-EPI hybrid for simultaneous T2 and T2* mapping (2in1-RARE-EPI) in patients with multiple sclerosis, which reduced the scan time to 77% compared to Multi-Spin-Echo (MSE) and Multi-Gradient-Recalled-Echo (MGRE). Here we examine the potential for further acceleration utilizing a compressed sensing reconstruction of highly undersampled 2in1-RARE-EPI data. The accelerated T2 and T2* mapping is benchmarked against the MSE and MGRE references using regression and Bland-Altman plot analysis and the mean absolute percentage error. Our results show that an undersampling factor of 8-12 is feasible, achieving an acquisition time reduction to 23-17% compared to the references.
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