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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