COORDINATED DESIGN OF RESTORATION ALGORITHM AND CODED APERTURE (RECONSTRUCTION, TOMOGRAPHY).

Persistent Link:
http://hdl.handle.net/10150/187837
Title:
COORDINATED DESIGN OF RESTORATION ALGORITHM AND CODED APERTURE (RECONSTRUCTION, TOMOGRAPHY).
Author:
Paxman, Richard Greenwood
Issue Date:
1984
Publisher:
The University of Arizona.
Rights:
Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
Abstract:
Coded-aperture systems are indirect imaging systems that have been used to image x-ray and (gamma)-ray sources. Coded aperture systems are also capable of recording tomographic information and because they involve no detector motion they are natural candidates for use in dynamic studies in nuclear medicine. Computer simulations suggest that an orthogonal-view coded-aperture system, which circumvents the problem of limited angular view, is capable of restoring clinically useful tomographic information. The restoration is performed with the aid of the iterative back-projection algorithm which is shown to yield the Moore-Penrose generalized inverse in the limit of many iterations. The convergence behavior of this algorithm is also examined. In order to improve reconstructions, the problems of optimizing coded aperture design is addressed. The concept of "alignment" is introduced in which the aperture parameters are adjusted until the system is tuned to measure well the object class of interest. A mean-square error figure of merit is derived that indicates the degree of alignment of a system. Aperture design may then be seen as a multidimensional optimization problem in which system parameters are adjusted in order to find a global minimum value for the figure of merit. The figure of merit presumes the use of an optimum restoration filter in the reconstruction process. Various restoration algorithms are suggested which fulfill this requirement. Finally, simple proof-of-principle simulations are given that demonstrate a degree of plausibility to the alignment approach.
Type:
text; Dissertation-Reproduction (electronic)
Keywords:
Imaging systems.; Imaging systems in medicine.
Degree Name:
Ph.D.
Degree Level:
doctoral
Degree Program:
Chemistry; Graduate College
Degree Grantor:
University of Arizona
Advisor:
Armstrong, Neal R.

Full metadata record

DC FieldValue Language
dc.language.isoenen_US
dc.titleCOORDINATED DESIGN OF RESTORATION ALGORITHM AND CODED APERTURE (RECONSTRUCTION, TOMOGRAPHY).en_US
dc.creatorPaxman, Richard Greenwooden_US
dc.contributor.authorPaxman, Richard Greenwooden_US
dc.date.issued1984en_US
dc.publisherThe University of Arizona.en_US
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en_US
dc.description.abstractCoded-aperture systems are indirect imaging systems that have been used to image x-ray and (gamma)-ray sources. Coded aperture systems are also capable of recording tomographic information and because they involve no detector motion they are natural candidates for use in dynamic studies in nuclear medicine. Computer simulations suggest that an orthogonal-view coded-aperture system, which circumvents the problem of limited angular view, is capable of restoring clinically useful tomographic information. The restoration is performed with the aid of the iterative back-projection algorithm which is shown to yield the Moore-Penrose generalized inverse in the limit of many iterations. The convergence behavior of this algorithm is also examined. In order to improve reconstructions, the problems of optimizing coded aperture design is addressed. The concept of "alignment" is introduced in which the aperture parameters are adjusted until the system is tuned to measure well the object class of interest. A mean-square error figure of merit is derived that indicates the degree of alignment of a system. Aperture design may then be seen as a multidimensional optimization problem in which system parameters are adjusted in order to find a global minimum value for the figure of merit. The figure of merit presumes the use of an optimum restoration filter in the reconstruction process. Various restoration algorithms are suggested which fulfill this requirement. Finally, simple proof-of-principle simulations are given that demonstrate a degree of plausibility to the alignment approach.en_US
dc.typetexten_US
dc.typeDissertation-Reproduction (electronic)en_US
dc.subjectImaging systems.en_US
dc.subjectImaging systems in medicine.en_US
thesis.degree.namePh.D.en_US
thesis.degree.leveldoctoralen_US
thesis.degree.disciplineChemistryen_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.grantorUniversity of Arizonaen_US
dc.contributor.advisorArmstrong, Neal R.en_US
dc.identifier.proquest8504129en_US
dc.identifier.oclc693401157en_US
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