Abstract #2454

Practical Considerations for DECOMPOSE-QSM in the Human Brain

Patrick Fuchs¹, Jingjia Chen^2,3, Chunlei Liu^4,5, and Karin Shmueli¹

¹Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom, ²Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, NY, United States, ³2 Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University Grossman School of Medicine, New York, NY, United States, ⁴Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, United States, ⁵Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, United States

Synopsis

Keywords: Susceptibility/QSM, Quantitative Susceptibility mapping, Source Separation, DECOMPOSE, Multi-echo

Motivation: DECOMPOSE-QSM is a susceptibility source separation method that has the potential for many clinical applications. However, its sensitivity to input QSM acquisition parameters and reconstruction method, and its repeatability are unknown.

Goal(s): To investigate the performance and repeatability of DECOMPOSE-QSM with QSM calculated using various acquisition schemes and multiple dipole inversion methods.

Approach: Eight different QSM dipole-inversion methods were used as inputs for DECOMPOSE-QSM. Multi-echo GRE were acquired with different protocols to evaluate reproducibility and sensitivity to the acquisition.

Results: We reduced susceptibility contrast differences from different QSM methods by normalizing input susceptibilities. DECOMPOSE-QSM results were repeatable across different subjects.

Impact: We showed that, with normalization, inputting QSM from different inversion methods yields similar DECOMPOSE-QSM separation maps and that this technique is reproducible. Taking into account its sensitivity to different acquisition parameters will facilitate further clinical applications of DECOMPOSE-QSM.

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