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Abstract #1176

Extreme MRI: Super-High-Res Dynamic Volumetric MRI from Continuous Non-Gated Acquisition

Frank Ong1, Xucheng Zhu1,2, Peder E.Z. Larson2, Joseph Y Cheng3, Shreyas S Vasanawala3, and Michael Lustig1

1University of California, Berkeley, Berkeley, CA, United States, 2University of California, San Francisco, San Francisco, CA, United States, 3Stanford University, Stanford, CA, United States

The goal of this work is to recover transient dynamics in 3D dynamic MRI by reconstructing images with near-millimeter spatial resolution and sub-second temporal resolution without gating. This setting poses two major challenges: extreme undersampling and extreme computational/memory cost. To achieve this “extreme MRI”, we propose two innovations: explicit multi-scale low rank matrix factorization to regularize the problem and reduce memory usage, and stochastic optimization to reduce computation. We demonstrate the feasibility of the proposed method in DCE imaging acquired with 3D cones trajectory and lung imaging acquired with 3D UTE radial trajectory.

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