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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