Show simple item record

dc.contributor.authorSoares, Edward J.
dc.contributor.authorKing, Michael A.
dc.contributor.authorByrne, Charles L.
dc.contributor.authorGifford, Howard C.
dc.contributor.authorLehovich, Andre
dc.date2022-08-11T08:08:24.000
dc.date.accessioned2022-08-23T15:54:21Z
dc.date.available2022-08-23T15:54:21Z
dc.date.issued2007-10-26
dc.date.submitted2020-08-17
dc.identifier.citation<p>Soares EJ, King MA, Byrne CL, Gifford HC, Lehovich A. The Influence of Photon Attenuation on Tumor-to-Background and Signal-to-Noise Ratios for SPECT Imaging. IEEE Nucl Sci Symp Conf Rec (1997). 2007;5:3609-3615. doi: 10.1109/NSSMIC.2007.4436905. PMID: 19169429; PMCID: PMC2630207. <a href="https://doi.org/10.1109/NSSMIC.2007.4436905">Link to article on publisher's site</a></p>
dc.identifier.issn1095-7863 (Linking)
dc.identifier.doi10.1109/NSSMIC.2007.4436905
dc.identifier.pmid19169429
dc.identifier.urihttp://hdl.handle.net/20.500.14038/29536
dc.description.abstractExpanding on the work of Nuyts et. al [1], Bai et. al. [2], and Bai and Shao [3], who all studied the effects of attenuation and attenuation correction on tumor-to-background ratios and signal detection, we have derived a general expression for the tumor-to-background ratio (TBR) for SPECT attenuated data that have been reconstructed with a linear, non-iterative reconstruction operator O. A special case of this is when O represents discrete filtered back-projection (FBP). The TBR of the reconstructed, uncorrected attenuated data (TBR(no-AC)) can be written as a weighted sum of the TBR of the FBP-reconstructed unattenuated data (TBR(FBP)) and the TBR of the FBP-reconstructed "difference" projection data (TBR(diff)). We evaluated the expression for TBR(no-AC) for a variety of objects and attenuation conditions. The ideal observer signal-to-noise ratio (SNR(ideal)) was also computed in projection space, in order to obtain an upper bound on signal detectability for a signal-known-exactly/background-known-exactly (SKE/BKE) detection task. The results generally show that SNR(ideal) is lower for tumors located deeper within the attenuating medium and increases for tumors nearer the edge of the object. In addition, larger values for the uniform attenuation coefficient mu lead to lower values for SNR(ideal). The TBR for FBP-reconstructed, uncorrected attenuated data can both under- and over-estimate the true TBR, depending on several properties of the attenuating medium, including the shape of the attenuator, the uniformity of the attenuator, and the degree to which the data are attenuated.
dc.language.isoen_US
dc.relation<p><a href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=pubmed&cmd=Retrieve&list_uids=19169429&dopt=Abstract">Link to Article in PubMed</a></p>
dc.relation.urlhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmc2630207/
dc.subjectSingle photon emission computed tomography
dc.subjectAttenuation
dc.subjectSignal to noise ratio
dc.subjectImage reconstruction
dc.subjectSignal detection
dc.subjectNeoplasms
dc.subjectAttenuators
dc.subjectGenetic expression
dc.subjectNonlinear filters
dc.subjectUpper bound
dc.subjectAnalytical, Diagnostic and Therapeutic Techniques and Equipment
dc.subjectBioimaging and Biomedical Optics
dc.subjectBiological and Chemical Physics
dc.subjectNuclear
dc.subjectNuclear Engineering
dc.subjectRadiology
dc.titleThe Influence of Photon Attenuation on Tumor-to-Background and Signal-to-Noise Ratios for SPECT Imaging
dc.typeConference Paper
dc.source.volume5
dc.identifier.legacycoverpagehttps://escholarship.umassmed.edu/faculty_pubs/1759
dc.identifier.contextkey18961158
html.description.abstract<p>Expanding on the work of Nuyts et. al [1], Bai et. al. [2], and Bai and Shao [3], who all studied the effects of attenuation and attenuation correction on tumor-to-background ratios and signal detection, we have derived a general expression for the tumor-to-background ratio (TBR) for SPECT attenuated data that have been reconstructed with a linear, non-iterative reconstruction operator O. A special case of this is when O represents discrete filtered back-projection (FBP). The TBR of the reconstructed, uncorrected attenuated data (TBR(no-AC)) can be written as a weighted sum of the TBR of the FBP-reconstructed unattenuated data (TBR(FBP)) and the TBR of the FBP-reconstructed "difference" projection data (TBR(diff)). We evaluated the expression for TBR(no-AC) for a variety of objects and attenuation conditions. The ideal observer signal-to-noise ratio (SNR(ideal)) was also computed in projection space, in order to obtain an upper bound on signal detectability for a signal-known-exactly/background-known-exactly (SKE/BKE) detection task. The results generally show that SNR(ideal) is lower for tumors located deeper within the attenuating medium and increases for tumors nearer the edge of the object. In addition, larger values for the uniform attenuation coefficient mu lead to lower values for SNR(ideal). The TBR for FBP-reconstructed, uncorrected attenuated data can both under- and over-estimate the true TBR, depending on several properties of the attenuating medium, including the shape of the attenuator, the uniformity of the attenuator, and the degree to which the data are attenuated.</p>
dc.identifier.submissionpathfaculty_pubs/1759
dc.contributor.departmentDepartment of Radiology
dc.source.pages3609-3615


This item appears in the following Collection(s)

Show simple item record