List of changes in-between ODTbrain releases.

version 0.2.3

  • enh: employ slice-wise padding to reduce the memory usage (and possibly the computation time) of
    • basic 3D backpropagation algorithm (#7)
    • 3D backpropagation with a tilted axis of rotation (#9)
  • ref: replace asserts with raises (#8)
  • ref: multiprocessing-based rotation does not anymore require a variable (_shared_array) at the top level of the module; As a result, multiprocessing-rotation should now also work on Windows.

version 0.2.2

  • docs: minor update and add changelog

version 0.2.1

  • fix: Allow sinogram data type other than complex128
  • docs: Add example with experimental data (#3)
  • ci: automated deployment with travis-ci

version 0.2.0

    • Dropped support for Python 2
    • Renamed sum_2d to integrate_2d
  • Refactoring (#4, #5):
    • Moved each reconstruction algorithm to a separate file
    • Modified code to comply with PEP8
    • Moved long doc strings from source to docs directory
    • Migrate from unwrap to scikit-image
    • Cleaned up example scripts
  • Bugfixes:
    • Mistake in “negative-modulo” method for determination of 2PI sinogram phase offsets

version 0.1.8

  • Updated documentation
  • Cleaned up examples

version 0.1.7

  • Move documentation from GitHub to
  • Add universal wheel on PyPI
  • Update tests on travis with new versions of NumPy

version 0.1.6

  • Bugfixes:
  • size of reconstruction volume in z too large for cases where the y-size is larger than the x-size of the sinogram images
  • backpropagate_3d_tilted used wrong shape of projections
  • 3D backpropagation methods did not use power-of-two padding size

version 0.1.5

  • Code optimization (speed, memory) with numexpr
  • New keyword argument save_memory for 3D reconstruction on machines with limited memory
  • New keyword argument copy for 3D reconstruction to protect input sinogram data.

version 0.1.4

  • The exponential term containing the distance between center of rotation and detector lD is now multiplied with the factor M-1 instead of M. This is necessary, because usually the scattered wave is normalized in both amplitude and phase (u_0) and not only amplitude a_0
  • Allow angles of shape (A,1) in backpropagate_3d_tilted
  • Set default value lD=0 for all reconstruction algorithms
  • Improvement of documentation

version 0.1.3

  • Fixes for backpropagate_3d_tilted when angles are points on the unit sphere:
    • Make sure each point is normalized
    • Correctly rotate each point w.r.t. tilted_axis

version 0.1.2

  • Added reconstruction algorithm for tilted axis of rotation

version 0.1.1

  • Support NumPy 1.10.
  • Allow to weight backpropagation using keyword weight_angles
  • Bugfix: backpropagate_3d with keyword onlyreal=True did not work
  • Bugfix: sum_2d did not return correctly shaped array
  • Code coverage is now 90%
  • Added more examples to the documentation