In this and the next chapter we discuss series expansion methods for image reconstruction. The algebraic reconstruction techniques (ART) form a large family of reconstruction algorithms. The name is a historical accident; there is nothing more “algebraic” about these techniques than about the techniques that are discussed in the next chapter. The distinguishing feature of ART needs careful discussion, which is given in the following section.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2009 Springer-Verlag London Limited
About this chapter
Cite this chapter
Herman, G.T. (2009). Algebraic Reconstruction Techniques. In: Fundamentals of Computerized Tomography. Advances in Pattern Recognition. Springer, London. https://doi.org/10.1007/978-1-84628-723-7_11
Download citation
DOI: https://doi.org/10.1007/978-1-84628-723-7_11
Publisher Name: Springer, London
Print ISBN: 978-1-85233-617-2
Online ISBN: 978-1-84628-723-7
eBook Packages: Computer ScienceComputer Science (R0)