Abstract #0269

Acceleration of Multi-Echo MP2RAGE using Interleaved Undersampling and Joint-Contrast Reconstruction

Jingwen Yao¹, Jing Liu¹, Brian Burns², Roland Henry³, and Peder Larson^1,4

¹Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States, ²Applied Sciences Lab, GE Healthcare, Menlo Park, CA, United States, ³Department of Neurology, University of California, San Francisco, San Francisco, CA, United States, ⁴UCSF/UCB Graduate Program in Bioengineering, University of California, San Francisco, San Francisco, CA, United States

Synopsis

Keywords: Quantitative Imaging, Quantitative Imaging, MP2RAGE, multi-echo

In this study, we evaluated the use of interleaved undersampling and joint-contrast reconstruction to accelerate multi-echo MP2RAGE. We compared three sampling patterns (GRAPPA, interleaved GRAPPA, and CIRCUS) and five reconstruction algorithms (GRAPPA, ESPIRIT, LORAKS, Joint-GRAPPA, and Joint-LORAKS) using retrospective undersampling experiments. The results demonstrated better performance achieved using joint-contrast compared to single-contrast reconstruction, and CIRCUS sampling compared to GRAPPA. With the combination of CIRCUS undersampling and Joint-LORAKS reconstruction, we obtained quantitative measurements of T₁, R₂*, QSM, and volumes at R=6.8 highly consistent with the fully sampled data, demonstrating the potential of using the proposed strategy to accelerate ME-MP2RAGE acquisition.

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