Mjolnir: Extending HAMMER Using a Diffusion Transformation Model and Histogram Equalization for Deformable Image Registration

<table>The figure shows the hard segmentation of two different subjects with and without histogram equalization before segmentation. This specific example shows how disconnected CSF spots become connected when applying histogram equalization before segmentation, thereby increasing the consistency of the CSF class between the two different subjects.</table>

International Journal of Biomedical Imaging

fig4

Figure 4

Figure 4: Mjolnir: Extending HAMMER Using a Diffusion Transformation Model and Histogram Equalization for Deformable Image Registration 