Faculty Advisor

Zhikun Hou

Faculty Advisor

Gretar Tryggvason

Faculty Advisor

Reinhold Ludwig

Faculty Advisor

Allen Hoffman

Faculty Advisor

John Sullivan

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.

Publisher

Worcester Polytechnic Institute

Degree Name

PhD

Department

Mechanical Engineering

Project Type

Dissertation

Date Accepted

2005-05-09

Accessibility

Unrestricted

Subjects

image registration, Imaging systems in medicine, Image processing, Digital techniques

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