Tomography

Gabor T. Herman ()
Additional contact information
Gabor T. Herman: The Graduate Center of the City University of New York, Department of Computer Science

A chapter in Handbook of Mathematical Methods in Imaging, 2015, pp 801-845 from Springer

Abstract: Abstract We Tomography define tomography as the process of producing an image of a distribution (of some physical property) from estimates of its line integrals along a finite number of lines of known locations. We touch upon the computational and mathematical procedures underlying the data collection, image reconstruction, and image display in the practice of tomography. The emphasis is on reconstruction methods, especially the so-called series expansion reconstruction algorithms.We illustrate the use of tomography (including three-dimensional displays based on reconstructions) both in electron microscopy and in X-ray computerized tomography (CT), but concentrate on the latter. This is followed by a classification and discussion of reconstruction algorithms. In particular, we discuss how to evaluate and compare the practical efficacy of such algorithms.

Keywords: Reconstruction Algorithm; Projection Data; Gaussian Random Variable; Helical Computerize Tomography; Source Position (search for similar items in EconPapers)
Date: 2015
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4939-0790-8_16

Ordering information: This item can be ordered from
http://www.springer.com/9781493907908

DOI: 10.1007/978-1-4939-0790-8_16

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().