Signals @ ROB

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Tools

If you use the Prediction Toolkit for one of your publications, please cite one of the following:

  • Norman Rzezovski and Floris Ernst, Graphical Tool for the Prediction of Respiratory Motion Signals, in: 7. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie, CURAC, pages 179--180, 2008, see here
  • Floris Ernst, Compensating for Quasi-periodic Motion in Robotic Radiosurgery, Springer, 2011, DOI 10.1007/978-1-4614-1912-9, see here

Useful MATLAB scripts

If you use these scripts for one of your publications, please cite one of the following:

  • Floris Ernst, Ralf Bruder, Alexander Schlaefer and Achim Schweikard, Performance Measures and Pre‐Processing for Respiratory Motion Prediction, in: 53rd Annual Meeting of the AAPM, pages 3857, 2011, DOI 10.1118/1.3613523, see here
  • Floris Ernst, Compensating for Quasi-periodic Motion in Robotic Radiosurgery, Springer, 2011, DOI 10.1007/978-1-4614-1912-9, see here

  • Respiratory motion prediction with Relevance Vector machines (RVM) RVM_pred.rar

If you use the RVM prediction script for one of your publications, please cite one of the following:

  • R. Dürichen, T. Wissel, F. Ernst, A. Schweikard: “Respiratory Motion Compensation with Relevance Vector Machines”, MICCAI, Lecture Notes in Computer Science Volume 8150, pp 108-115, 2013, DOI 978-3-642-40763-5_14, see here

Signals

  • Respiratory motion traces recorded during CyberKnife treatment at Georgetown University Hospital. Data by courtesy of Dr. Kevin Cleary and Dr. Sonja Dieterich.
  • Bi-modal respiratory motion traces. Data by courtesy of Floris Ernst.
    • MATLAB data, seven human liver motion traces (4D ultrasound, 17.5 to 21.3 Hz), acquired with template matching, external data from IR LED, 5-6 minutes long
    • MATLAB data, two porcine liver motion traces (biplanar fluoroscopy, triangulated, 15 Hz), external data from IR LEDs
  • Cardiac motion traces. Data by courtesy of Floris Ernst.

If you use this data for one of your publications, please cite:


  • Multivariate motion traces. Data by courtesy of Robert Dürichen.

If you use this data for one of your publications, please cite:

  • Robert Dürichen et al., Evaluation of the potential of multi-modal sensors for respiratory motion prediction and correlation , International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’13), Osaka, Japan, 2013, DOI EMBC.2013.6610839, see here

Want to contribute?

Please contact Floris Ernst, Robert Dürichen, or Alexander Schlaefer for more information.

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