Cook, Bill D.2022-12-202022-12-2019784328647https://hdl.handle.net/10657/13055Presented 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.application/pdfenThis 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.Thesisreformatted digital