Junlan Lu1, David Mummy2, Suphachart Leewiwatwong3, Elianna Bier3, and Bastiaan Driehuys2
1Medical Physics, Duke University, Durham, NC, United States, 2Radiology, Duke University, Durham, NC, United States, 3Biomedical Engineering, Duke University, Durham, NC, United States
1Medical Physics, Duke University, Durham, NC, United States, 2Radiology, Duke University, Durham, NC, United States, 3Biomedical Engineering, Duke University, Durham, NC, United States
We demonstrate
a template-based approach to bias field correction for hyperpolarized 129Xe
MRI. We suggest using template bias fields could provide a simpler, more
generally applicable alternative to current practices of estimating bias field
from individual images.
Figure
3. Comparison of corrected images using template-based approach and its
respective direct correction method (RF-depletion mapping and N4ITK). These
examples illustrate 1) direct application of N4ITK tends to be similar or more
aggressive than template-based bias field correction and 2) Template based bias
field correction based off of RF-depletion mapping achieves similar levels of
correction compared to direct application of RF-depletion mapping derived from
the individual subject.
Figure 2.
Illustration of template-based correction. First the template mask is
registered to the subject mask, and the same transformation is applied then to
the bias field template. Then, inpainting is used to fill in dark areas at the boundary caused by
the transformed volume moving partially out of the FOV.