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Optimal detection theory and image reconstruction-Comparison of performance in the presence of noise

Publication ,  Journal Article
Jalihal, D; Nolte, LW
Published in: Proceedings of the Annual Conference on Engineering in Medicine and Biology
December 1, 1991

The authors study the reconstruction problem as a detection problem and cast the problem as a binary hypotheses decision-making problem to decide the presence of a high-contrast object. Two formulations of the detection problem are presented: one involves direct optimal processing of the projection data; the second optimally processes the data after reconstruction. Results for a simple imaging scenario are presented in the form of receiver-operating-characteristic curves to show how direct optimal processing yields a considerable gain in the decision-making performance over that obtained when first using image reconstruction. Results for the second case are interpreted as providing an upper bound on the decision-performance of all postprocessing algorithms that use convolution backprojection.

Duke Scholars

Published In

Proceedings of the Annual Conference on Engineering in Medicine and Biology

ISSN

0589-1019

Publication Date

December 1, 1991

Volume

13

Issue

pt 1

Start / End Page

26 / 27
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Jalihal, D., & Nolte, L. W. (1991). Optimal detection theory and image reconstruction-Comparison of performance in the presence of noise. Proceedings of the Annual Conference on Engineering in Medicine and Biology, 13(pt 1), 26–27.
Jalihal, D., and L. W. Nolte. “Optimal detection theory and image reconstruction-Comparison of performance in the presence of noise.” Proceedings of the Annual Conference on Engineering in Medicine and Biology 13, no. pt 1 (December 1, 1991): 26–27.
Jalihal D, Nolte LW. Optimal detection theory and image reconstruction-Comparison of performance in the presence of noise. Proceedings of the Annual Conference on Engineering in Medicine and Biology. 1991 Dec 1;13(pt 1):26–7.
Jalihal, D., and L. W. Nolte. “Optimal detection theory and image reconstruction-Comparison of performance in the presence of noise.” Proceedings of the Annual Conference on Engineering in Medicine and Biology, vol. 13, no. pt 1, Dec. 1991, pp. 26–27.
Jalihal D, Nolte LW. Optimal detection theory and image reconstruction-Comparison of performance in the presence of noise. Proceedings of the Annual Conference on Engineering in Medicine and Biology. 1991 Dec 1;13(pt 1):26–27.

Published In

Proceedings of the Annual Conference on Engineering in Medicine and Biology

ISSN

0589-1019

Publication Date

December 1, 1991

Volume

13

Issue

pt 1

Start / End Page

26 / 27