Abstract #1550

Susceptibility underestimation in a high susceptibility phantom: dependence on imaging resolution, magnitude contrast and sample orientation

Dong Zhou¹, JingWei Zhang², Pascal Spincemaille¹, and Yi Wang^1,2

¹Radiology Department, Weill Cornell Medical College, New York, NY, United States, ²Biomedical Engineering, Cornell University, Ithaca, NY, United States

The error in digitizing the dipole convolution¹ may become substantial when there is abrupt susceptibility change within a voxel. To evaluate this error, we assessed the accuracy of quantitative susceptibility mapping in a gadolinium balloon phantom with a range of large susceptibility values (0.4 – 3.2 ppm) and imaging resolutions (0.7 – 1.8 mm) at both 1.5T and 3T. Systematic underestimation of the susceptibility values was observed with decreasing imaging resolution. Numerical simulations were performed to match the experimental findings. These show that the underestimation originates directly from the changes in the voxel sensitivity function and that the amount of underestimation is affected not only by imaging resolution, but also magnitude contrast, the use of k-space filters in the image reconstruction, and details of the susceptibility inclusions such as the susceptibility value and geometry.

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