Analysis of Unknown-Location Signal Detectability for Regularized Tomographic Image Reconstruction
dc.contributor.author | Yendiki, Anastasia | en_US |
dc.contributor.author | Fessler, Jeffrey A. | en_US |
dc.date.accessioned | 2011-08-18T18:21:13Z | |
dc.date.available | 2011-08-18T18:21:13Z | |
dc.date.issued | 2006-04-06 | en_US |
dc.identifier.citation | Yendiki, A.; Fessler, J.A. (2006). "Analysis of Unknown-Location Signal Detectability for Regularized Tomographic Image Reconstruction." IEEE International Symposium on Biomedical Imaging: Nano to Macro: 279-282. <http://hdl.handle.net/2027.42/85961> | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/85961 | |
dc.description.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. | en_US |
dc.publisher | IEEE | en_US |
dc.title | Analysis of Unknown-Location Signal Detectability for Regularized Tomographic Image Reconstruction | en_US |
dc.type | Article | en_US |
dc.subject.hlbsecondlevel | Biomedical Engineering | en_US |
dc.subject.hlbtoplevel | Engineering | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationother | HMS/MGH/MIT Martinos Center for Biomedical Imaging 149 13th St. Charlestown, MA 02129-2301, USA. | en_US |
dc.identifier.pmid | 16398412 | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/85961/1/Fessler221.pdf | |
dc.identifier.doi | 10.1109/ISBI.2006.1624907 | en_US |
dc.identifier.source | IEEE International Symposium on Biomedical Imaging: Nano to Macro | en_US |
dc.owningcollname | Electrical Engineering and Computer Science, Department of (EECS) |
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