Beta 1


Title Motion Corrections in 4D Lung CT Images
Author Lyksborg, Mark
Supervisor Larsen, Rasmus (Image Analysis and Computer Graphics, Department of Informatics and Mathematical Modeling, Technical University of Denmark, DTU, DK-2800 Kgs. Lyngby, Denmark)
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 Master's thesis
Year 2009
Abstract This thesis presents methods for modelling and reconstructing 4D lung CT. Obtaining a good model for the lung as a function of respiration is important for treatment of lung cancer where it is essential to radiate the entire tumor, while limiting damaging radiation effects of healthy tissue. The algorithmic framework used to solve this modelling is based on image registration methods. The algorithms transform the voxels from a 3D reference volume to sample volumes which are all positioned differently on the respiration cycle. To achieve an optimal coordinate transformation between the reference and sample volumes, a 4D B-spline transformation model is fitted using large scale optimization. For this pupose two different optimizers are examined. Following optimization, the model can be used to transform the 3D reference to any respiration phase and is able to reconstruct CT slices within the 4D volume. The reconstruction results are verified through visual inspection and leave out experiments, where slices are left out to evaluate the reconstructions.
Imprint Technical University of Denmark (DTU) : Kgs. Lyngby, Denmark
Series IMM-M.Sc.-2009-08
Fulltext
Original PDF ep09_08_net.pdf (7.50 MB)
Admin Creation date: 2009-03-04    Update date: 2009-11-04    Source: dtu    ID: 239699    Original MXD