Perspectives on Spect

H. H. Barrett

doi:10.1117/12.966694

Perspectives on Spect

H. H. Barrett

Research output: Contribution to journal › Article › peer-review

Abstract

Single-photon emission computed tomography (SPECT) is an inverse problem in which one wants to determine the distribution of a radionuclide from a set of measured projections. Like most inverse problems, it is illposed and does not admit of an exact solution. In this paper we review various methods from the literature on inverse problems that are applicable to SPECT. Topics considered include the discrete representation of continuous objects, the intrinsic dimensionality of an object, null functions, the role of prior information, and various reconstruction principles, including maximum likelihood, least squares, and Bayesian methods.

Original language	English (US)
Pages (from-to)	265-269
Number of pages	5
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	671
DOIs	https://doi.org/10.1117/12.966694
State	Published - Jan 1 1986
Externally published	Yes

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Computer Science Applications
Applied Mathematics
Electrical and Electronic Engineering

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AB - Single-photon emission computed tomography (SPECT) is an inverse problem in which one wants to determine the distribution of a radionuclide from a set of measured projections. Like most inverse problems, it is illposed and does not admit of an exact solution. In this paper we review various methods from the literature on inverse problems that are applicable to SPECT. Topics considered include the discrete representation of continuous objects, the intrinsic dimensionality of an object, null functions, the role of prior information, and various reconstruction principles, including maximum likelihood, least squares, and Bayesian methods.

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Perspectives on Spect

Abstract

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