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Related Experiment Video

Updated: Jun 28, 2026

Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping
09:41

Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping

Published on: April 21, 2023

Fast marker based C-Arm pose estimation.

Bernhard Kainz1, Markus Grabner, Matthias Rüther

  • 1Institute for Computer Graphics and Vision, Graz University of Technology, Austria. kainz@icg.tugraz.at

Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
|November 6, 2008
PubMed
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Researchers developed a novel X-Ray target with unique patterns for C-Arm pose estimation during interventions. This system achieves high precision and speed, even with occlusions, improving therapeutic accuracy.

Area of Science:

  • Medical Imaging
  • Robotics
  • Computer Vision

Background:

  • Accurate C-Arm positioning is crucial for interventional therapy.
  • Current methods face challenges with marker visibility across all C-Arm poses.
  • Establishing reliable 2D-3D point correspondences is complex due to potential occlusions.

Purpose of the Study:

  • To develop a robust method for estimating C-Arm pose during interventions.
  • To create a small-sized X-Ray target with unique, identifiable patterns.
  • To enable precise C-Arm localization even when parts of the marker are not visible.

Main Methods:

  • Developed a novel X-Ray target featuring a unique 2D pattern generated using a linear feedback shift register (LFSR) adaptation.
  • Designed the pattern for unique sub-pattern identification within a minimal window, ensuring robustness against occlusions.

Related Experiment Videos

Last Updated: Jun 28, 2026

Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping
09:41

Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping

Published on: April 21, 2023

  • Employed 2D-3D point correspondence techniques for pose estimation.

    • Main Results:

    • Successfully estimated C-Arm pose from single X-ray images within one second.
    • Achieved high precision, with accuracy below one millimeter and one degree.
    • Demonstrated robustness to occlusions from medical instruments.

    Conclusions:

    • The developed X-Ray target and LFSR-based pattern provide a reliable solution for C-Arm pose estimation.
    • The method significantly enhances precision and speed in interventional procedures.
    • This technology has the potential to improve patient outcomes in image-guided therapies.