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Abstract #0632

3D Deuterium Metabolic Imaging of the Human Liver at 7T using Low-rank and Subspace Modeling

Kyung Min Nam1, Ayhan Gursan1, Nam G. Lee2, Jannie Wijnen1, Dennis Klomp1, Jeanine Prompers1, Alex Bhogal1, and Arjan Hendriks1
1Radiology, University of Medical Center Utrecht, Utrecht, Netherlands, 2Biomedical Engineering, University of Southern California, Los Angeles, CA, United States


Deuterium metabolic imaging (DMI) is an emerging technique to spatially map metabolism in vivo through the intake of deuterium (i.e., 2H or D) labeled substrates such as [6,6′-2H2]-glucose. Although DMI has the potential to become a powerful tool to assess liver metabolism, it has limitations due to its long scan time, and low signal-to-noise ratio (SNR) for high spatial resolution in the human body. In this work, we demonstrated the feasibility of low-rank and subspace modeling (LRSM) reconstruction to increase SNR by reducing spectral noise, allowing high spatiotemporal resolution for 3D DMI of the human liver at 7T.

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