@CONFERENCE\{IMM2010-05975,
    author       = "O. V. Olesen and R. R. Paulsen and L. H{\o}jgaard and B. Roed and R. Larsen",
    title        = "Motion tracking in narrow spaces: a structured light approach",
    year         = "2010",
    pages        = "253-260",
    booktitle    = "Proceedings of the International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI)",
    volume       = "6363",
    series       = "Lecture Notes in Computer Science",
    editor       = "Tianzi Jiang, Nassir Navab, Josien P.W. Pluim and Max A. Viergever",
    publisher    = "Springer verlag",
    organization = "",
    address      = "",
    url          = "http://www2.compute.dtu.dk/pubdb/pubs/5975-full.html",
    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. 
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    isbn_issn    = "DOI: 10.1007/978-3-642-15711-0\_"
}