https://github.com/adler-j/huest
Hounsfield estimation from spectrums
Science Score: 10.0%
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Repository
Hounsfield estimation from spectrums
Basic Info
- Host: GitHub
- Owner: adler-j
- License: mit
- Language: Python
- Default Branch: master
- Size: 10.7 KB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
huest
HoUnsfield ESTimate, a package for estimation of hounsfield values given material compositions.
Includes functionality for
- Computing HU value from a given material composition and a density
- Computing the density from a given material composition
Installation
Simply run
pip install huest
The library uses xraylib in order to find the attenuation coefficients by the material. This needs to be installed separately.
Examples
Compute HU value of water
>>> import huest
>>> density = 1.0 # g / cm^3
>>> energy = 50 # kilovolt
>>> huest.hounsfield_value('Water, Liquid', density, energy)
0.0
Compute the HU value of bone with a given energy spectrum
>>> import huest
>>> density = 1.92 # g / cm^3
>>> energies = [40, 60, 80] # kilovolt
>>> spectrum = [2, 2, 1] # relative density of each energy
>>> huest.hounsfield_value('Bone, Cortical (ICRP)', density, energies, spectrum)
2617.5413064730405
Can also be used to compute densities from HU values
>>> import huest
>>> hu_value = 2000.0
>>> energies = [40, 60, 80]
>>> spectrum = [2, 2, 1]
>>> density = huest.density('Bone, Cortical (ICRP)', hu_value, energies, spectrum)
1.5922416669281303
The full list of supported materials can be acquired from xraylib:
>>> import xraylib
>>> xraylib.GetCompoundDataNISTList()
['A-150 Tissue-Equivalent Plastic',
...,
'Xylene']
Materials can also be given according to their stoichiometric composition. Note that water is not exactly 'H2O':
>>> import huest
>>> huest.hounsfield_value('H2O', 1, 50)
0.10973551267046133
Owner
- Name: Jonas Adler
- Login: adler-j
- Kind: user
- Location: London, UK
- Company: @deepmind
- Website: jonasadler.com
- Repositories: 3
- Profile: https://github.com/adler-j
Research Scientist at Google DeepMind
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| Name | Commits | |
|---|---|---|
| Jonas Adler | j****l@k****e | 9 |
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Packages
- Total packages: 1
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Total downloads:
- pypi 4 last-month
- Total dependent packages: 0
- Total dependent repositories: 1
- Total versions: 2
- Total maintainers: 1
pypi.org: huest
HoUnsfield ESTimate
- Homepage: https://github.com/adler-j/huest
- Documentation: https://huest.readthedocs.io/
- License: GPLv3+
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Latest release: 0.2.0
published over 9 years ago
Rankings
Maintainers (1)
Dependencies
- numpy *