DocumentCode :
1102718
Title :
Signal detection theory and reconstruction algorithms-performance for images in noise
Author :
Jalihal, D. ; Nolte, L.W.
Author_Institution :
Dept. of Electr. Eng., Duke Univ., Durham, NC, USA
Volume :
41
Issue :
5
fYear :
1994
fDate :
5/1/1994 12:00:00 AM
Firstpage :
501
Lastpage :
504
Abstract :
In many noisy image processing situations, decision making is the ultimate objective. Here, the authors show using signal detection theory how direct optimal processing of the projection data yields a considerable gain in the decision making performance over that obtained by first using image reconstruction. The problem is formulated in the framework of a two hypotheses detection problem. Optimal processors based on the likelihood ratio approach have been presented for two cases. The first considers direct processing of the projection data. The second applies optimal decision theory to the reconstructed data. Results based on computer simulation are presented in the form of receiver operating curves for different signal-to-noise ratios. Early results indicate that large performance gains can be achieved by direct optimal processing of the projection data compared with optimal processing of reconstructed data. Results for the latter case can be interpreted as providing an upper bound on all postreconstruction decision rules. The authors hope to extend this approach to a number of different aspects of the image decision making problem.
Keywords :
image reconstruction; medical image processing; signal detection; 2-hypotheses detection problem; direct optimal processing; image decision making problem; likelihood ratio approach; medical imaging; noisy image processing situations; optimal decision theory; performance gains; postreconstruction decision rules; projection data; receiver operating curves; reconstruction algorithms; signal detection theory; signal-to-noise ratios; Decision making; Decision theory; Estimation theory; Extraterrestrial measurements; Image processing; Image reconstruction; Multidimensional signal processing; Performance gain; Signal detection; Signal processing algorithms; Algorithms; Decision Making; Image Processing, Computer-Assisted; ROC Curve; Signal Processing, Computer-Assisted;
fLanguage :
English
Journal_Title :
Biomedical Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9294
Type :
jour
DOI :
10.1109/10.293226
Filename :
293226
Link To Document :
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