Changelog

List of changes in-between ODTbrain releases.

version 0.3.0

• feat: basic missing apple core correction (#6)
• docs: reordered 3D examples (decreasing importance)

version 0.2.6

• fix: make phase unwrapping deterministic
• tests: remove one test of the 2D Fourier mapping algorithm due to instabilities in using scipy.interpolate.griddata
• ref: use empty_aligned instead of deprecated n_byte_align_empty
• docs: add hint for windows users how to run the 3D examples

version 0.2.5

• fix: reconstruction volume rotated by 180° due to floating point inaccuracies (affects backpropagate_3d_tilted).

version 0.2.4

• maintenance release

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

• BREAKING CHANGES:
  • 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 readthedocs.io
• 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