Faculty Advisor or Committee Member

John Sullivan, Advisor

Faculty Advisor or Committee Member

Zhikun Hou, Committee Member

Faculty Advisor or Committee Member

Gretar Tryggvason, Committee Member

Faculty Advisor or Committee Member

Reinhold Ludwig, Committee Member

Faculty Advisor or Committee Member

Allen Hoffman, Committee Member

Identifier

etd-050905-100341

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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