pyruct
Python Package for Reflection Ultrasound Computed Tomography (RUCT) Delay And Sum (DAS) Algorithm
Science Score: 67.0%
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Repository
Python Package for Reflection Ultrasound Computed Tomography (RUCT) Delay And Sum (DAS) Algorithm
Basic Info
- Host: GitHub
- Owner: berkanlafci
- License: mit
- Language: Python
- Default Branch: main
- Homepage: https://berkanlafci.github.io/pyruct/
- Size: 6.05 MB
Statistics
- Stars: 46
- Watchers: 2
- Forks: 5
- Open Issues: 0
- Releases: 4
Topics
Metadata Files
README.md
pyruct
Python Package for Reflection Ultrasound Computed Tomography (RUCT) Delay And Sum (DAS) Beamforming
Paper : IEEE TUFFC Link
Documentation: Website Link
Data : Zenodo Link

The imaging setup is explained in the following paper Lafci, B. et al. Synthetic Transmit Aperture (STA) method for pulse-echo ultrasound was used in data acquisition. All images were reconstructed using Delay And Sum (DAS) algorithm and compounded to create final high contrast images.
Installation
This project uses pip package manager. Please run the following command in your terminal to install the package.
bash
pip install git+https://github.com/berkanlafci/pyruct.git
Usage
After installing package, the functions can be called using python scripts.
Example scripts to use pyruct package can be found in _examples folder.
For example, delay and sum example on cpu is called with following commands in terminal.
bash
python exampleCpuDAS.py
The example scripts can be written by users.
pyruct package can be imported in python scripts using following line.
python
import pyruct as pt
After importing the package, the functions can be called with following lines in python script.
python
usData = pt.usReader(filePath=filePath) # read data
das = pt.cpuDAS() # create reconstruction object
imageRecon = das.recon(usData.sigMat) # reconstruct image
Data
Data used in the paper is available here.
Test data is publicly available here.
After the download, place the data in "data/rawData/" folder that shares the same root directory with "exampleCpuDAS.py" script that can be run for testing "pyruct".
Citation
If you use this package and/or data in your research, please cite the following paper.
@article{lafci2022expediting,
author = {Lafci, Berkan and Robin, Justine and Deán-Ben, Xosé Luís and Razansky, Daniel},
title = {Expediting Image Acquisition in Reflection Ultrasound Computed Tomography},
journal = {IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control},
year = {2022},
volume = {69},
number = {10},
pages = {2837-2848},
doi = {10.1109/TUFFC.2022.3172713}
}
Acknowledgements
This project is supported by Swiss Data Science Center (SDSC) grant C19-04.
License
This project is licensed under MIT License.
Owner
- Name: Berkan Lafci
- Login: berkanlafci
- Kind: user
- Location: Zurich, Switzerland
- Company: University of Zurich
- Website: https://berkanlafci.github.io/
- Repositories: 5
- Profile: https://github.com/berkanlafci
🔬 Postdoctoral Researcher at UZH 🔬 🎓 Boğaziçi University ‘15, TU München ‘18, ETH Zurich '23 🎓 (he/him/his)
Citation (CITATION.cff)
cff-version: 1.0.4
message: "If you use this package, please cite it as below."
authors:
- family-names: "Lafci"
given-names: "Berkan"
orcid: "https://orcid.org/0000-0001-5387-1748"
- family-names: "Robin"
given-names: "Justine"
orcid: "https://orcid.org/0000-0002-4642-1375"
- family-names: "Dean-Ben"
given-names: "Xose Luis"
orcid: "https://orcid.org/0000-0002-8557-7778"
- family-names: "Razansky"
given-names: "Daniel"
orcid: "https://orcid.org/0000-0001-8676-0964"
title: "pyruct"
version: 1.0.3
doi: 10.5281/zenodo.5599811
date-released: 2021-11-23
url: "https://github.com/berkanlafci/pyruct"
preferred-citation:
type: article
authors:
- family-names: "Lafci"
given-names: "Berkan"
orcid: "https://orcid.org/0000-0001-5387-1748"
- family-names: "Robin"
given-names: "Justine"
orcid: "https://orcid.org/0000-0002-4642-1375"
- family-names: "Dean-Ben"
given-names: "Xose Luis"
orcid: "https://orcid.org/0000-0002-8557-7778"
- family-names: "Razansky"
given-names: "Daniel"
orcid: "https://orcid.org/0000-0001-8676-0964"
doi: "10.1109/TUFFC.2022.3172713"
journal: "IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control"
month:
start:
end:
title: "Expediting Image Acquisition in Reflection Ultrasound Computed Tomography"
issue:
volume:
year: 2022
GitHub Events
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Last Year
- Watch event: 5
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Dependencies
- Pillow *
- h5py *
- matplotlib *
- numpy *
- scipy *