The use of small scale prototypes in image reconstruction from projections

Glen Barnett; Susan Crowe; Malcolm Hudson; Pui Lam Leung; Khairil Notodiputro; Richard Proudfoot; John Sims

doi:10.1080/02664768900000019

The use of small scale prototypes in image reconstruction from projections

Glen Barnett, Susan Crowe, Malcolm Hudson, Pui Lam Leung, Khairil Notodiputro, Richard Proudfoot, John Sims

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

2 Citations (Scopus)

Abstract

We introduce a class of small scale simulation models—‘prototypes’—which reproduce many of the known properties of maximum likelihood and related reconstruction methods used in emission tomography, and greatly simplify the development of new methods. We introduce an iterative Fisher-scoring algorithm and demonstrate, by use of the prototype models, its superior speed of convergence when compared with the standard EM algorithm.

Original language	English
Pages (from-to)	223-242
Number of pages	20
Journal	Journal of Applied Statistics
Volume	16
Issue number	2
DOIs	https://doi.org/10.1080/02664768900000019
Publication status	Published - 1 Jan 1989

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10.1080/02664768900000019

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title = "The use of small scale prototypes in image reconstruction from projections",

abstract = "We introduce a class of small scale simulation models—{\textquoteleft}prototypes{\textquoteright}—which reproduce many of the known properties of maximum likelihood and related reconstruction methods used in emission tomography, and greatly simplify the development of new methods. We introduce an iterative Fisher-scoring algorithm and demonstrate, by use of the prototype models, its superior speed of convergence when compared with the standard EM algorithm.",

author = "Glen Barnett and Susan Crowe and Malcolm Hudson and Leung, \{Pui Lam\} and Khairil Notodiputro and Richard Proudfoot and John Sims",

year = "1989",

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T1 - The use of small scale prototypes in image reconstruction from projections

AU - Barnett, Glen

AU - Crowe, Susan

AU - Hudson, Malcolm

AU - Leung, Pui Lam

AU - Notodiputro, Khairil

AU - Proudfoot, Richard

AU - Sims, John

PY - 1989/1/1

Y1 - 1989/1/1

N2 - We introduce a class of small scale simulation models—‘prototypes’—which reproduce many of the known properties of maximum likelihood and related reconstruction methods used in emission tomography, and greatly simplify the development of new methods. We introduce an iterative Fisher-scoring algorithm and demonstrate, by use of the prototype models, its superior speed of convergence when compared with the standard EM algorithm.

AB - We introduce a class of small scale simulation models—‘prototypes’—which reproduce many of the known properties of maximum likelihood and related reconstruction methods used in emission tomography, and greatly simplify the development of new methods. We introduce an iterative Fisher-scoring algorithm and demonstrate, by use of the prototype models, its superior speed of convergence when compared with the standard EM algorithm.

UR - https://www.scopus.com/pages/publications/84945769837

U2 - 10.1080/02664768900000019

DO - 10.1080/02664768900000019

M3 - Article

AN - SCOPUS:84945769837

SN - 0266-4763

VL - 16

SP - 223

EP - 242

JO - Journal of Applied Statistics

JF - Journal of Applied Statistics

IS - 2

ER -

The use of small scale prototypes in image reconstruction from projections

Abstract

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