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vernikouskaya authored Apr 15, 2021
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Actual software release offers graphical user interface with basic functionality including data import and handling, calculation of projection geometry and transformations between related coordinate systems, rigid 3D-3D registration, and template-matching-based tracking and motion compensation algorithms in 2D and 3D.

The implementation of 3D-XGuide from this repository is described in the following paper:
- Vernikouskaya I, Bertsche D, Rottbauer W, Rasche V. [3D-XGuide: open-source X-ray navigation guidance system.](https://link.springer.com/article/10.1007%2Fs11548-020-02274-0) Int J Comput Assist Radiol Surg (2021) 16(1), 53-56
- Vernikouskaya I, Bertsche D, Rottbauer W, Rasche V. [3D-XGuide: open-source X-ray navigation guidance system.](https://link.springer.com/article/10.1007%2Fs11548-020-02274-0) Int J Comput Assist Radiol Surg. 2021;16(1):53-56

#### General
- The core is written in C++
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#### Citation
If you use any part of this repository, please cite:
- Vernikouskaya I, Bertsche D, Rottbauer W, Rasche V. [3D-XGuide: open-source X-ray navigation guidance system.](https://doi.org/10.1007/s11548-020-02274-0) Int J CARS (2020)
- Vernikouskaya I, Bertsche D, Rottbauer W, Rasche V. [3D-XGuide: open-source X-ray navigation guidance system.](https://link.springer.com/article/10.1007%2Fs11548-020-02274-0) Int J Comput Assist Radiol Surg. 2021;16(1):53-56

#### Further useful stuff
Python scripts for [XRAY Frame grabbing](https://github.com/vernikouskaya/Grabber).

#### Acknowledgements
3D-XGuide was developed within the [ExCaVI](https://www.uniklinik-ulm.de/innere-medizin-ii/experimentelle-forschung/experimental-cardiovascular-imaging-excavi/image-guided-interventions.html) group of Ulm University and Ulm University Medical Center.
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