Show simple item record

dc.contributor.authorLehovich, Andre
dc.contributor.authorBruyant, Philippe P.
dc.contributor.authorGifford, Howard C.
dc.contributor.authorSchneider, Peter B.
dc.contributor.authorSquires, Shane
dc.contributor.authorLicho, Robert
dc.contributor.authorGindi, Gene
dc.contributor.authorKing, Michael A.
dc.date2022-08-11T08:08:24.000
dc.date.accessioned2022-08-23T15:54:20Z
dc.date.available2022-08-23T15:54:20Z
dc.date.issued2006-10-29
dc.date.submitted2020-08-17
dc.identifier.citation<p>Lehovich A, Bruyant PP, Gifford HC, Schneider PB, Squires S, Licho R, Gindi G, King MA. Human-observer LROC study of lesion detection in Ga-67 SPECT images reconstructed using MAP with anatomical priors. IEEE Nucl Sci Symp Conf Rec (1997). 2006;3:1699-1702. doi: 10.1109/NSSMIC.2006.354226. PMID: 19412357; PMCID: PMC2675947. <a href="https://doi.org/10.1109/NSSMIC.2006.354226">Link to article on publisher's site</a></p>
dc.identifier.issn1095-7863 (Linking)
dc.identifier.doi10.1109/NSSMIC.2006.354226
dc.identifier.pmid19412357
dc.identifier.urihttp://hdl.handle.net/20.500.14038/29532
dc.description.abstractWe compare the image quality of SPECT reconstruction with and without an anatomical prior. Area under the localization-response operating characteristic (LROC) curve is our figure of merit. Simulated Ga-67 citrate images, a SPECT lymph-nodule imaging agent, were generated using the MCAT digital phantom. Reconstructed images were read by human observers. Several reconstruction strategies are compared, including rescaled block iterative (RBI) and maximum-a-posteriori (MAP) with various priors. We find that MAP reconstruction using prior knowledge of organ and lesion boundaries significantly improves lesion-detection performance (p < 0.05). Pseudo-lesion boundaries, regions without increased uptake which are incorrectly treated as prior knowledge of lesion boundaries, do not decrease performance.
dc.language.isoen_US
dc.relation<p><a href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=pubmed&cmd=Retrieve&list_uids=19412357&dopt=Abstract">Link to Article in PubMed</a></p>
dc.relation.urlhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmc2675947/
dc.subjectSPECT reconstruction
dc.subjectanatomical priors
dc.subjectLROC
dc.subjecthuman observer study
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.titleHuman-observer LROC study of lesion detection in Ga-67 SPECT images reconstructed using MAP with anatomical priors
dc.typeConference Paper
dc.source.volume3
dc.identifier.legacycoverpagehttps://escholarship.umassmed.edu/faculty_pubs/1755
dc.identifier.contextkey18961151
html.description.abstract<p>We compare the image quality of SPECT reconstruction with and without an anatomical prior. Area under the localization-response operating characteristic (LROC) curve is our figure of merit. Simulated Ga-67 citrate images, a SPECT lymph-nodule imaging agent, were generated using the MCAT digital phantom. Reconstructed images were read by human observers. Several reconstruction strategies are compared, including rescaled block iterative (RBI) and maximum-a-posteriori (MAP) with various priors. We find that MAP reconstruction using prior knowledge of organ and lesion boundaries significantly improves lesion-detection performance (p < 0.05). Pseudo-lesion boundaries, regions without increased uptake which are incorrectly treated as prior knowledge of lesion boundaries, do not decrease performance.</p>
dc.identifier.submissionpathfaculty_pubs/1755
dc.contributor.departmentDivision of Nuclear Medicine, Department of Radiology
dc.source.pages1699-1702


This item appears in the following Collection(s)

Show simple item record