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v1.1.4

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@austin-hoover austin-hoover released this 25 Apr 23:47
· 127 commits to main since this release
v1.1.4
0f13a18
  • Add 6D reconstruction example from paper "N-dimensional maximum-entropy tomography via particle sampling".
  • Add traditional 2D CT example with comparisons to FBP and SART on high-resolution images.
  • Automatically normalize projections passed to MENT.
  • Fix histogram fractional threshold.
  • Enforce learning rate between 0 and 1 in Gauss-Seidel updates
  • Create new integration method in which the density is evaluated on the entire N-dimensional grid and summed over the integration axes. This is a faster method that can work well in 2D/3D. The method can be turned on by setting integration_loop=False in ment.MENT class.

Full Changelog: v1.1.3...v1.1.4

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