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Abstract #1920

Parameter Optimization for High-Resolution MR Elastography of the Human Brain at 7T

Emily Rose Triolo1, Oleksandr Khegai2, Jelle Veraart3, Akbar Alipour2, Trey Hedden4, Mehmet Kurt1,2, and Priti Balchandani2
1Mechanical Engineering, Stevens Institute of Technology, Hoboken, NJ, United States, 2Biomedical Engineering and Imaging Institute, Ichan School of Medicine at Mount Sinai, New York City, NY, United States, 3New York University, New York City, NY, United States, 4Ichan School of Medicine at Mount Sinai, New York City, NY, United States


MRE, a technique used to characterize the viscoelasticity of tissues, is typically performed at 3T for the human brain. MRE at 7T has the promise to deliver higher resolution, however, is subject to several artifacts and limitations. Here, we developed and tested an MRE setup and sequence at 7T on one subject at three different resolutions to investigate how both changing resolution and using MP-PCA denoising affects the estimated shear modulus (|G*|). Our pilot study has shown an increase in OSS-SNR after using MP-PCA denoising, and has demonstrated a relationship between resolution, OSS-SNR, and |G*| that requires further investigation.

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