Questions of Uniqueness and Resolution in Reconstruction from Projections

  • Myron Bernard Katz

Part of the Lecture Notes in Biomathematics book series (LNBM, volume 26)

Table of contents

  1. Front Matter
    Pages I-IX
  2. Myron Bernard Katz
    Pages 1-20
  3. Myron Bernard Katz
    Pages 21-37
  4. Myron Bernard Katz
    Pages 44-52
  5. Myron Bernard Katz
    Pages 53-61
  6. Myron Bernard Katz
    Pages 91-112
  7. Myron Bernard Katz
    Pages 113-137
  8. Myron Bernard Katz
    Pages 138-144
  9. Back Matter
    Pages 154-180

About this book


Reconstruction from projections has revolutionized radiology and has now become one of the most important tools of medical diagnosis The E. M. I. Scanner is one example. In this text, some fundamental theoretical and practical questions are resolved. Despite recent research activity in the area, the crucial subject of the uniqueness of the reconstruction and the effect of noise in the data posed some unsettled fundamental questions. In particular, Kennan Smith proved that if we describe an object by a C^inf_o function, i.e., infinitely differentiable with compact support, then there are other objects with the same shape, i.e., support, which can differ almost arbitrarily and still have the same projections in finitely many directions. On the other hand, he proved that objects in finite dimensional function spaces are uniquely determined by a single projection for almost all angles, i.e., except on a set of measure zero. Along these lines, Herman and Rowland in "Three Methods for reconstructing objects from x-rays: a comparative study" (1973)  showed that reconstructions obtained from the commonly used algorithms can grossly misrepresent the object and that the algorithm which produced the best reconstruction when using noiseless data gave unsatisfactory results with noisy data. Equally important are reports in Science, and personal communications by radiologists indicating that in medical practice failure rates of reconstruction vary from four to twenty percent. within this work, the mathematical dilemma posed by Kennan Smith's result is discussed and clarified. 


Bildrekonstruktion Finite Projektion function proof theorem

Authors and affiliations

  • Myron Bernard Katz
    • 1
  1. 1.Department of MathematicsUniversity of New OrleansNew OrleansUSA

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 1978
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-09087-8
  • Online ISBN 978-3-642-45507-0
  • Series Print ISSN 0341-633X
  • Buy this book on publisher's site