Markerless estimation of patient orientation, posture and pose using range and pressure imaging

@article{Grimm2012MarkerlessEO,
  title={Markerless estimation of patient orientation, posture and pose using range and pressure imaging},
  author={Robert Grimm and Sebastian Bauer and Johann Sukkau and Joachim Hornegger and G{\"u}nther Greiner},
  journal={International Journal of Computer Assisted Radiology and Surgery},
  year={2012},
  volume={7},
  pages={921-929}
}
PurposeIn diagnostic tomographic imaging, patient setup and scanner initialization is a manual, tedious procedure in clinical practice. A fully-automatic detection of the patient’s position, orientation, posture and pose on the patient table holds great potential for optimizing this part of the imaging workflow. We propose a markerless framework that is capable of extracting this information within seconds from either range imaging (RI) or pressure imaging (PI) data.MethodsThe proposed method… CONTINUE READING
BETA

Similar Papers

Figures, Tables, Results, and Topics from this paper.

Key Quantitative Results

  • At the posture recognition stage, our method achieved mean classification rates of 79.4% for RI and 95.5% for PI data, respectively.

Citations

Publications citing this paper.
SHOWING 1-10 OF 15 CITATIONS

A Survey of Sensors in Healthcare Workflow Monitoring

VIEW 5 EXCERPTS
CITES BACKGROUND & METHODS
HIGHLY INFLUENCED

Real-Time Range Imaging in Health Care: A Survey

  • Time-of-Flight and Depth Imaging
  • 2013
VIEW 12 EXCERPTS
CITES BACKGROUND & METHODS
HIGHLY INFLUENCED

3D Human Pose Estimation on a Configurable Bed from a Pressure Image

  • 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  • 2018
VIEW 2 EXCERPTS
CITES METHODS & BACKGROUND

Patient 3D body pose estimation from pressure imaging

  • International Journal of Computer Assisted Radiology and Surgery
  • 2018
VIEW 1 EXCERPT
CITES BACKGROUND

An intelligent device for assistance in caring for the health of patients with motor disabilities

  • 2015 11th International Conference on Natural Computation (ICNC)
  • 2015
VIEW 2 EXCERPTS
CITES BACKGROUND & METHODS

References

Publications referenced by this paper.
SHOWING 1-10 OF 19 REFERENCES

Manifold learning for patient position detection in MRI

  • 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro
  • 2010
VIEW 1 EXCERPT

Robust Pose Recognition of the Obscured Human Body

  • International Journal of Computer Vision
  • 2010
VIEW 2 EXCERPTS

Time - offlight sensors in computer graphics

DE Goldberg
  • 2009

Controlled human pose estimation from depth image streams

  • 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
  • 2008
VIEW 3 EXCERPTS