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Abstract #3873

Highly Accelerated Quantitative MRI with ICTGV Regularized Reconstruction

Matthias Schloegl1, Martin Holler2, Oliver Maier1, Thomas Benkert3, Kristian Bredies2, Kai Tobias Block3, and Rudolf Stollberger1

1Institute of Medical Engineering, Graz University of Technology, Graz, Austria, 2Institute of Mathematics and Scientific Computing, University of Graz, Austria, 3Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University School of Medicine, New York, NY, United States

This work describes the use of ICTGV regularization for highly accelerated T1 and T2 quantification. For increased robustness of quantitative MRI multiple parameter encodings are necessary. With conventional encoding, this strategy increases scan time, in particular for T1. By using appropriate subsampling and iterative image reconstruction with ICTGV regularization, high quantification quality is achieved up to an acceleration factor of 16.

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