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Conference paper

Real Time Surface Registration for PET Motion Tracking

From

Department of Informatics and Mathematical Modeling, Technical University of Denmark1

Image Analysis and Computer Graphics, Department of Informatics and Mathematical Modeling, Technical University of Denmark2

Copenhagen University Hospital Herlev and Gentofte3

Siemens A/S4

Head movement during high resolution Positron Emission Tomography brain studies causes blur and artifacts in the images. Therefore, attempts are being made to continuously monitor the pose of the head and correct for this movement. Specifically, our method uses a structured light scanner system to create point clouds representing parts of the patient's face.

The movement is estimated by a rigid registration of the point clouds. The registration should be done using a robust algorithm that can handle partial overlap and ideally operate in real time. We present an optimized Iterative Closest Point algorithm that operates at 10 frames per second on partial human face surfaces. © 2011 Springer-Verlag.

Language: English
Publisher: Springer
Year: 2011
Pages: 166-175
Proceedings: 17th Scandinavian Conference on Image Analysis (SCIA)
Series: Lecture Notes in Computer Science
Journal subtitle: 17th Scandinavian Conference, Scia 2011 Ystad, Sweden, May 2011 Proceedings
ISBN: 3642212263 , 3642212271 , 9783642212260 and 9783642212277
ISSN: 03029743
Types: Conference paper
DOI: 10.1007/978-3-642-21227-7_16
ORCIDs: Wilm, Jakob , Olesen, Oline Vinter , Paulsen, Rasmus Reinhold and Larsen, Rasmus

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