47 lines
1.9 KiB
Markdown
47 lines
1.9 KiB
Markdown
# 2D/3D Registration with Digitally Reconstructed Topograms
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This project provides a framework for 2D/3D registration using Digitally Reconstructed Topogram (DRT) images, which are generated from 3D CT volumes using a modified version of the Siddon-Jacobs ray casting algorithm.
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In addition to DRT generation, the framework extends [ITKTwoProjectionRegistration](https://github.com/InsightSoftwareConsortium/ITKTwoProjectionRegistration) in several key areas, including:
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- Compliance with IEC 61217
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- Revised and consistent reference coordinate systems
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- This project provides a framework for 2D/3D registration using Digitally Reconstructed Topograms (DRTs), which are generated from 3D CT volumes using a modified version of the Siddon-Jacobs RayCast algorithm. See the [`siddonTril` branch](https://gitea.psi.ch/fattori_g/reg23Topograms/src/branch/siddonTril) for implementation details.
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## Requirements
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Work in progress — requirements and example code to be added.
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## Citation
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If you use this code or method in your research, please cite the following paper:
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> **Giovanni Fattori, Riccardo Via, et al.**
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> *Topogram and 3DCT geometry calibration for image-guided proton therapy with in-room CT-on-rails*
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> *Physics and Imaging in Radiation Oncology*, 2025.
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> [https://doi.org/10.1016/j.phro.2025.100799](https://doi.org/10.1016/j.phro.2025.100799)
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<details>
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<summary>BibTeX</summary>
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```bibtex
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@article{Fattori2025,
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author = {Giovanni Fattori and Riccardo Via and others},
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title = {Topogram and 3DCT geometry calibration for image-guided proton therapy with in-room CT-on-rails},
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journal = {Physics and Imaging in Radiation Oncology},
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year = {2025},
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doi = {10.1016/j.phro.2025.100799}
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}
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```
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</details>
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## Requirements
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Work in progress — requirements and example code to be added.
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## Contributors
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- Giovanni Fattori
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- Riccardo Via
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- Reto Ansorge |