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Abstract #3962

Analysis and Maximization of SNR in MR Elastography Inversion

Cemre Ariyurek1,2, Bilal Tasdelen1,2, Alireza Sadeghi-Tarakameh1,2, Yusuf Ziya Ider1, and Ergin Atalar1,2

1Department of Electrical and Electronics Engineering, Bilkent University, Ankara, Turkey, 2National Magnetic Resonance Research Center (UMRAM), Ankara, Turkey

Reconstructed elastography maps suffer from noise due to derivative operations in the inversion algorithms. Considering the noise on the complex MRI signal, SNR of the reconstructed elastogram is derived analytically for k-MDEV inversion. Verified SNR derivations by Monte Carlo Simulations, an SNR-weighted k-MDEV inversion was proposed to maximize SNR of the elastogram. Quality of the proposed reconstruction was assessed by estimation error, noise performance and edge response analyses. SNR of the elasticity improved twice as the conventional method. Results on phantom and human liver data are also provided. As future work, this analysis will be performed for other inversion methods.

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