Thesis (M.S.)--University of Nevada, Las Vegas, 1998. / Typescript (photocopy). Vita. Abstract. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references (leaves 53-54).

Thesis (Ph. D.)--University of Hong Kong, 1998. / Includes bibliographical references.

Thesis (M.S.)--Rochester Institute of Technology, 2008. / Typescript. Includes bibliographical references (leaves 39-40).

Thesis (M.S.)--Worcester Polytechnic Institute. / Keywords: Feature matching in multiple cameras; Multi camera stereo computation; Patient Motion Tracking; SPECT Imaging Includes bibliographical references. (p.84-88)

Thesis (M.S.)--Rowan University, 2009. / Typescript. Includes bibliographical references.

Dissertation (Ph.D.) -- Worcester Polytechnic Institute. / Keyword: image registration. Includes bibliographical references (p. 97-105 ).

Thesis (Ph. D.)--University of Florida, 2005. / Title from title page of source document. Document formatted into pages; contains 117 pages. Includes vita. Includes bibliographical references.

Dissertation (Ph.D.) -- Worcester Polytechnic Institute. / Keywords: MRI; Image reconstruction; Image registration; Medical image. Includes bibliographical references (leaves 115-137).

published_or_final_version / Electrical and Electronic Engineering / Doctoral / Doctor of Philosophy

External nuclear medicine diagnostic imaging of early primary and metastatic lung cancer tumors is difficult due to the poor sensitivity and resolution of existing gamma cameras. Nonimaging counting detectors used for internal tumor detection give ambiguous results because distant background variations are difficult to discriminate from neighboring tumor sites. This suggests that an internal imaging nuclear medicine probe, particularly an esophageal probe, may be advantageously used to detect small tumors because of the ability to discriminate against background variations and the capability to get close to sites neighboring the esophagus. The design, theory of operation, preliminary bench tests, characterization of noise behavior and optimization of such an imaging probe is the central theme of this work. The central concept lies in the representation of the aperture shell by a sequence of binary digits. This, coupled with the mode of operation which is data encoding within an axial slice of space, leads to the fundamental imaging equation in which the coding operation is conveniently described by a circulant matrix operator. The coding/decoding process is a classic coded-aperture problem, and various estimators to achieve decoding are discussed. Some estimators require a priori information about the object (or object class) being imaged; the only unbiased estimator that does not impose this requirement is the simple inverse-matrix operator. The effects of noise on the estimate (or reconstruction) is discussed for general noise models and various codes/decoding operators. The choice of an optimal aperture for detector count times of clinical relevance is examined using a statistical class-separability formalism.