Name
Title | ||
|---|---|---|
Analysis Of Unknown-Location Signal Detectability For Regularized Tomographic Image Reconstruction |
Abstract | ||
|---|---|---|
Our goal is to optimize regularized image reconstruction methods for emission tomography with respect to the task of detecting small lesions of unknown location in the reconstructed images. We consider model observers whose decisions are based on finding the maximum value of a local test statistic over all possible lesion locations. We use tail probability approximations by Adler (AAP 2000) and Siegmund and Worsley (AS 1995) to evaluate the probabilities of false alarm and detection respectively for the observers of interest. We illustrate how these analytical tools can be used to optimize regularization with respect to the performance (at low probability of false alarm operating points) of a maximum channelized non-prewhitening observer. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/ISBI.2006.1624907 | 2006 3RD IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING: MACRO TO NANO, VOLS 1-3 |
Keywords | Field | DocType |
testing,signal analysis,image analysis,pet,optimization,statistical analysis,signal detection,image reconstruction,probability,tomography | Iterative reconstruction,Signal processing,Computer vision,False alarm,Detection theory,Test statistic,Pattern recognition,Computer science,Tomography,Regularization (mathematics),Artificial intelligence,Observer (quantum physics) | Conference |
ISSN | Citations | PageRank |
1945-7928 | 1 | 0.37 |
References | Authors | |
1 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Anastasia Yendiki | 1 | 188 | 13.22 |
| J. A. Fessler | 2 | 1743 | 229.34 |