Date of Award:

12-2012

Document Type:

Dissertation

Degree Name:

Doctor of Philosophy (PhD)

Department:

Physics

Committee Chair(s)

Timothy E. Doyle

Committee

Timothy E. Doyle

Committee

Ludger Scherliess

Committee

James T. Wheeler

Committee

Joseph V. Koebbe

Committee

Eric D. Held

Abstract

Tomography is an imaging technique in which 3D models of objects are created from several 2D projections viewed at different angles. When the number of available projections is limited, the resulting data are said to be sparse. This restriction is often a direct result of the imaging geometry used to acquire the data. One-sided views and a small number of receivers can reduce the range of available projections, which makes the object more difficult to reconstruct. Approximate solutions to difficult imaging problems can be obtained using a class of iterative algorithms known as the algebraic reconstruction techniques (ARTs). The presented research examines some of the capabilities of these algorithms and results are presented, which demonstrate that under particular initialization conditions, these algorithms are able to accurately reproduce structure in the imaging object. The presented technique is then applied to atmospheric science and biomedical imaging to further explore its capabilities and potential.

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This work made publicly available electronically on October 19, 2012.

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