forked from sgasilov/ez_ufo
-
Notifications
You must be signed in to change notification settings - Fork 0
aliroh/ez_ufo
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
*** Introduction *** Ezufo is a GUI to data reconstruction tools of ufo-kit software package (https://github.com/ufo-kit). It can be used to find the center of rotation and reconstruct X-ray uCT slices, to optimize reconstruction parameters, and to batch process multiple data sets after experiment. Distributed without warranty of any kind. *** Installation requirements *** 1. Working istallation of ufo-core, ufo-python-tools, ufo-filters, tofu, and concert is required. This version was tested with ufo-core: https://github.com/ufo-kit/ufo-core/commit/ab39783930ccbe3fa06e0f50427e01376f431256 ufo-filters: https://github.com/ufo-kit/ufo-filters/commit/2f2dbf96c3075de062e73c655708af516773110c tofu: https://github.com/ufo-kit/tofu/commit/6d7c27328bf9397d7f8c7e99ce7520ac90007afa concert: https://github.com/ufo-kit/concert/commit/6bb7b3436702adaa2e6df1e0c0e68de6837dd582 2. tkinter. *** How it works *** It the beginning ezufo creates a list of paths to all CT directories in the input directory recursively. A CT directory is defined as any directory, which containing a set of flats, darks, tomo, and, optionally, flats2 subdirectories. These subdirectories must contain only *.tif files with CT data. Names of directories with CT data sets are compared with the directory tree in the output directory. Those CT sets will be reconstructed, whose names are not yet in the output directory. Ezufo will create a list of formatted ufo-launch/tofu commands according to defined parameters. These commands can be executed or printed on the screen. Three or more pre-processing steps can be applied to data: - An arbitrary pipeline of ufo-launch filters - Removal of large spots (scintillator defects) - Paganing/TIE phase retrieval. Sinograms can be created and filtered in order to suppress ring artifacts. Finally, CT reconstruction is performed with tofu reco algorithm. Region of interest and other miscellaneous parameters can be defined. All temporary data is saved in multi-page tif files. It will be preserved in the temporary directory until the next reconstruction or until the Quit button is pressed. Note that the size of temporary data can easily exceed 300 GB when multiple processing steps are applied to a large CT set.
About
No description, website, or topics provided.
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published
Languages
- Python 100.0%