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Abstract #3203

TFIR - A Spatial Frequency and R2* Informed Regularization for Total Field Inversion in Quantitative Susceptibility Mapping.

Priya S Balasubramanian1, Lingfei Guo2, Weiyuan Huang2, Pascal Spincemaille3, and Yi Wang4
1Electrical and Computer Engineering, Cornell University, Ithaca, NY, United States, 2Weill Cornell, Cornell University, New York, NY, United States, 3Weill Cornell, Cornell University, New York City, NY, United States, 4Biomedical Engineering, Cornell University, New York, NY, United States

TFIR is a novel regularization framework for total field quantitative susceptibility mapping. This method employs spatial frequency selection and R2* information within the L2 regularization method to map field to susceptibility source. It outperforms local field methods and existing regularization frameworks for total field susceptibility mapping, such as LN-QSM when computing error with respect to COSMOS and numerical and gadolinium phantoms. Hemorrhage cases and non-hemorrhage in vivo cases have reduced streaking and shadowing artifacts when reconstructed using TFIR compared to PDF-MEDI-SMV and LN-QSM. Future directions include spatial frequency selection automation in order to produce optimal signal to noise and accuracy.

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