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Title Evaluation of surface registration algorithms for PET motion correction
Author Kjer, Hans Martin
Wilm, Jakob
Supervisor Paulsen, Rasmus Reinhold (Image Analysis and Computer Graphics, Department of Informatics and Mathematical Modeling, Technical University of Denmark, DTU, DK-2800 Kgs. Lyngby, Denmark)
Institution Technical University of Denmark, DTU, DK-2800 Kgs. Lyngby, Denmark
Thesis level Bachelor thesis
Year 2010
Abstract Recent advancements in high resolution Positron Emission Tomography (PET) have made it possible to study metabolic activity and the anatomy of the brain in great details. It becomes increasingly important to perform motion correction on these data. Motion tracking with a structured light system is pursued by Ph.D. student Oline V. Olesen. This thesis covers the registration (alignment) of point cloud surfaces acquired from a structured light scanner. An introduction to the concepts of rigid motion and point cloud properties is given. These include representations of rotations, surface curvature estimates and solutions to the nearest neighbor problem. The iterative closest point (ICP) algorithm is detailed with some of its most promising variants. Non linear optimization is introduced conceptually. Experimental data is used to compare these different variants in terms of convergence, accuracy, robustness and speed. It is concluded, that implementational simple variations of the ICP algorithm can yield much improved performance and reliability, and that, with the proper choice of acceleration techniques, real time performance is a realistic perspective. In the appendix derivations of the most important mathematical formulas are given.
Imprint Technical University of Denmark (DTU) : Kgs. Lyngby, Denmark
Series IMM-B.Sc.-2010-09
Fulltext
Original PDF bac10_09_net.pdf (4.73 MB)
Admin Creation date: 2010-06-02    Update date: 2010-06-02    Source: dtu    ID: 262855    Original MXD