Worcester Polytechnic Institute Electronic Theses and Dissertations Collection

Title page for ETD etd-050905-100341


Document Typedissertation
Author NameYu, Hongliang
URNetd-050905-100341
TitleAutomatic Rigid and Deformable Medical Image Registration
DegreePhD
DepartmentMechanical Engineering
Advisors
  • John Sullivan, Advisor
  • Allen Hoffman, Committee Member
  • Reinhold Ludwig, Committee Member
  • Gretar Tryggvason, Committee Member
  • Zhikun Hou, Graduate Committee Rep
  • Keywords
  • image registration
  • Date of Presentation/Defense2005-05-04
    Availability unrestricted

    Abstract

    In this research three innovative registration systems were designed with the configurations of the mutual information and optimization technique: (1) mutual information combined with the downhill simplex method of optimization. (2) the derivative of mutual information combined with Quasi-Newton method. (3) mutual information combined with hybrid genetic algorithm (large-space random search) to avoid local maximum during the optimization. These automatic registration systems were evaluated with a variety of images, dimensions and voxel resolutions. Experiments demonstrate that registration system combined with mutual information and hybrid genetic algorithm can provide robust and accurate alignments to obtain a composite activation map for functional MRI analysis.

    Files
  • Thesis_victor.pdf

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