Digital reconstruction from Fourier projection data

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dc.contributor.advisorCook, Bill D.
dc.contributor.committeeMemberWang, Keith Y.
dc.contributor.committeeMemberKleis, Stanley J.
dc.creatorEgan, Mark Stephen
dc.date.accessioned2022-12-20T20:38:52Z
dc.date.available2022-12-20T20:38:52Z
dc.date.issued1978
dc.description.abstractPresented is the theoretical basis for reconstruction of 2-dimensional signals in the Fourier plane from projection data. Three algorithms are studied in detail: the Hankel transform method, the 2-dimensional interpolation method, and the concentric squares raster method. Each algorithm is programmed and applied to simulated projection data. The results are compared. The applicability of these techniques to mapping ultrasonic fields is considered, and the use of minicomputers discussed.
dc.description.departmentMechanical Engineering, Department of
dc.format.digitalOriginreformatted digital
dc.format.mimetypeapplication/pdf
dc.identifier.other4328647
dc.identifier.urihttps://hdl.handle.net/10657/13055
dc.language.isoen
dc.rightsThis item is protected by copyright but is made available here under a claim of fair use (17 U.S.C. Section 107) for non-profit research and educational purposes. Users of this work assume the responsibility for determining copyright status prior to reusing, publishing, or reproducing this item for purposes other than what is allowed by fair use or other copyright exemptions. Any reuse of this item in excess of fair use or other copyright exemptions requires express permission of the copyright holder.
dc.titleDigital reconstruction from Fourier projection data
dc.type.dcmiText
dc.type.genreThesis
thesis.degree.collegeCullen College of Engineering
thesis.degree.departmentMechanical Engineering, Department of
thesis.degree.disciplineMechanical Engineering
thesis.degree.grantorUniversity of Houston
thesis.degree.levelMasters
thesis.degree.nameMaster of Science

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