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Motion Tracking in Narrow Spaces: A Structured Light Approach

  • Oline Vinter Olesen
  • Rasmus R. Paulsen
  • Liselotte Højgaard
  • Bjarne Roed
  • Rasmus Larsen
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6363)

Abstract

We present a novel tracking system for patient head motion inside 3D medical scanners. Currently, the system is targeted at the Siemens High Resolution Research Tomograph (HRRT) PET scanner. Partial face surfaces are reconstructed using a miniaturized structured light system. The reconstructed 3D point clouds are matched to a reference surface using a robust iterative closest point algorithm. A main challenge is the narrow geometry requiring a compact structured light system and an oblique angle of observation. The system is validated using a mannequin head mounted on a rotary stage. We compare the system to a standard optical motion tracker based on a rigid tracking tool. Our system achieves an angular RMSE of 0.11° demonstrating its relevance for motion compensated 3D scan image reconstructions as well as its competitiveness against the standard optical system with an RMSE of 0.08°. Finally, we demonstrate qualitative result on real face motion estimation.

Keywords

Positron Emission Tomography Point Cloud Iterative Close Point Iterative Close Point Algorithm Positron Emission Tomography Brain 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Oline Vinter Olesen
    • 1
    • 2
    • 3
  • Rasmus R. Paulsen
    • 1
  • Liselotte Højgaard
    • 2
  • Bjarne Roed
    • 3
  • Rasmus Larsen
    • 1
  1. 1.Informatics and Mathematical ModellingTechnical University of DenmarkLyngbyDenmark
  2. 2.Department of Clinical Physiology, Nuclear Medicine & PET, RigshospitaletCopenhagen University Hospital, University of Copenhagen 
  3. 3.Siemens HealthcareSiemens A/SDenmark

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