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Proceedings Paper

Comparison of the algebraic reconstruction technique with the maximum entropy reconstruction technique for a variety of detection tasks
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Paper Abstract

A method for comparing reconstruction algorithms is presented based on the ability to perform certain detection tasks on the resulting images. The reconstruction algorithms compared are the algebraic reconstruction technique (ART) and the maximum entropy reconstruction method (MaxEnt). Task performance is assessed through a Monte Carlo simulation of the complete imaging process, including the generation of a set of object scenes, followed by data-taking, reconstruction, and performance of the specified task by a machine observer. For these detection tasks the figure of merit used for comparison is the detectability index, d'. When each algorithm is run with approximately optimized parameters, these studies find comparable values for d'.

Paper Details

Date Published: 1 July 1990
PDF: 12 pages
Proc. SPIE 1231, Medical Imaging IV: Image Formation, (1 July 1990); doi: 10.1117/12.18795
Show Author Affiliations
Kyle J. Myers, Ctr. for Devices and Radiological Health/FDA (United States)
Kenneth M. Hanson, Los Alamos National Lab. (United States)

Published in SPIE Proceedings Vol. 1231:
Medical Imaging IV: Image Formation
Roger H. Schneider, Editor(s)

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