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**Harvard**

Böller, A. (2010) *Evaluation of 3D camera technology for patient positioning within the field of radiation therapy*. Göteborg : Chalmers University of Technology

** BibTeX **

@mastersthesis{

Böller2010,

author={Böller, Armin},

title={Evaluation of 3D camera technology for patient positioning within the field of radiation therapy},

abstract={The thesis describes shortly the Time-of-Flight technology and also the experiments,
algorithms and results for the registration of point clouds acquired by a Time-of-
Flight camera. The aim is to explore possible applications of the ToF camera for
patient positioning in the field of radiotherapy. A distance function between two
point clouds has been defined for the registration of point clouds in different frames.
Afterwards the distance of the reference frame with a linear transformed point cloud is
minimized. For this purpose the UOBYQA (unconstrained optimization by quadratic
approximation) algorithm has been used. The following results could be obtained: a
single pixel of the camera itself had a standard deviation of 0.5mm; the translation
of a spherical object could be determined with an average error of 0.5mm. The
algorithm for the registration of arbitrary surfaces with six degrees of freedom are
not completely finished and will be improved in further work. The cameras are
sensitive to temperature fluctuations, which has been tried to be avoided by using
two cameras at the same time. For this purpose the cameras have been calibrated
and their coordinate system transformed from one to the other. Finally a motion
surveillance application is presented, which creates a real time video stream with a
visualization of the distance from the actual frame to the reference frame.},

publisher={Institutionen för data- och informationsteknik, Datavetenskap (Chalmers), Chalmers tekniska högskola},

place={Göteborg},

year={2010},

note={46},

}

** RefWorks **

RT Generic

SR Electronic

ID 126873

A1 Böller, Armin

T1 Evaluation of 3D camera technology for patient positioning within the field of radiation therapy

YR 2010

AB The thesis describes shortly the Time-of-Flight technology and also the experiments,
algorithms and results for the registration of point clouds acquired by a Time-of-
Flight camera. The aim is to explore possible applications of the ToF camera for
patient positioning in the field of radiotherapy. A distance function between two
point clouds has been defined for the registration of point clouds in different frames.
Afterwards the distance of the reference frame with a linear transformed point cloud is
minimized. For this purpose the UOBYQA (unconstrained optimization by quadratic
approximation) algorithm has been used. The following results could be obtained: a
single pixel of the camera itself had a standard deviation of 0.5mm; the translation
of a spherical object could be determined with an average error of 0.5mm. The
algorithm for the registration of arbitrary surfaces with six degrees of freedom are
not completely finished and will be improved in further work. The cameras are
sensitive to temperature fluctuations, which has been tried to be avoided by using
two cameras at the same time. For this purpose the cameras have been calibrated
and their coordinate system transformed from one to the other. Finally a motion
surveillance application is presented, which creates a real time video stream with a
visualization of the distance from the actual frame to the reference frame.

PB Institutionen för data- och informationsteknik, Datavetenskap (Chalmers), Chalmers tekniska högskola,

LA eng

LK http://publications.lib.chalmers.se/records/fulltext/126873.pdf

OL 30