Motion tracking in narrow spaces: a structured light approach

Research output: Contribution to journal › Journal article › Research › peer-review

Standard

Motion tracking in narrow spaces: a structured light approach. / Olesen, Oline Vinter; Paulsen, Rasmus; Højgaard, Liselotte; Roed, Bjarne; Larsen, Rasmus.

In: Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention, Vol. 13, No. Pt 3, 01.01.2010, p. 253-60.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Olesen, OV, Paulsen, R, Højgaard, L, Roed, B & Larsen, R 2010, 'Motion tracking in narrow spaces: a structured light approach', Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention, vol. 13, no. Pt 3, pp. 253-60.

APA

Olesen, O. V., Paulsen, R., Højgaard, L., Roed, B., & Larsen, R. (2010). Motion tracking in narrow spaces: a structured light approach. Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention, 13(Pt 3), 253-60.

Vancouver

Olesen OV, Paulsen R, Højgaard L, Roed B, Larsen R. Motion tracking in narrow spaces: a structured light approach. Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. 2010 Jan 1;13(Pt 3):253-60.

Author

Olesen, Oline Vinter ; Paulsen, Rasmus ; Højgaard, Liselotte ; Roed, Bjarne ; Larsen, Rasmus. / Motion tracking in narrow spaces: a structured light approach. In: Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. 2010 ; Vol. 13, No. Pt 3. pp. 253-60.

Bibtex

@article{4b477dbd5f544899bc9c80cf2e9195fa,
title = "Motion tracking in narrow spaces: a structured light approach",
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 degrees 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 degrees. Finally, we demonstrate qualitative result on real face motion estimation.",
author = "Olesen, {Oline Vinter} and Rasmus Paulsen and Liselotte H{\o}jgaard and Bjarne Roed and Rasmus Larsen",
year = "2010",
month = jan,
day = "1",
language = "English",
volume = "13",
pages = "253--60",
journal = "Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention",
number = "Pt 3",

}

RIS

TY - JOUR

T1 - Motion tracking in narrow spaces: a structured light approach

AU - Olesen, Oline Vinter

AU - Paulsen, Rasmus

AU - Højgaard, Liselotte

AU - Roed, Bjarne

AU - Larsen, Rasmus

PY - 2010/1/1

Y1 - 2010/1/1

N2 - 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 degrees 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 degrees. Finally, we demonstrate qualitative result on real face motion estimation.

AB - 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 degrees 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 degrees. Finally, we demonstrate qualitative result on real face motion estimation.

M3 - Journal article

VL - 13

SP - 253

EP - 260

JO - Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention

JF - Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention

IS - Pt 3

ER -

ID: 34044935