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dc.contributor.authorLehovich, Andre
dc.contributor.authorGifford, Howard C.
dc.contributor.authorSchneider, Peter B.
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.issued2007-10-26
dc.date.submitted2020-08-17
dc.identifier.citation<p>Lehovich A, Gifford HC, Schneider PB, King MA. Choosing anatomical-prior strength for MAP SPECT reconstruction to maximize lesion detectability. IEEE Nucl Sci Symp Conf Rec (1997). 2007 Oct 26;6(1):4222-4225. doi: 10.1109/NSSMIC.2007.4437049. PMID: 19779594; PMCID: PMC2749318. <a href="https://doi.org/10.1109/NSSMIC.2007.4437049">Link to article on publisher's site</a></p>
dc.identifier.issn1095-7863 (Linking)
dc.identifier.doi10.1109/NSSMIC.2007.4437049
dc.identifier.pmid19779594
dc.identifier.urihttp://hdl.handle.net/20.500.14038/29531
dc.description.abstractWith the widespread availability of SPECT/CT systems it has become feasible to incorporate prior knowledge about anatomical boundaries into the SPECT reconstruction process, thus improving observer performance on tasks of clinical interest. We determine the optimal anatomical-prior strength for lesion search by measuring area under the LROC curve using human observers. We conclude that prior strength should be chosen assuming that only organ boundaries are available, even if lesion boundaries will also be known some of the time. We also test whether or not the presence of anatomical priors affects the observer's strategy, and conclude that mixing images with and without priors does not hurt reader performance when priors are not available. Finally, we examine whether using an anatomical prior in SPECT reconstruction helps observer performance when the observer already knows the possible lesion location, and conclude for this task anatomical priors do not provide the same improvement seen in search tasks.
dc.language.isoen_US
dc.relation<p><a href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=pubmed&cmd=Retrieve&list_uids=19779594&dopt=Abstract">Link to Article in PubMed</a></p>
dc.relation.urlhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmc2749318/
dc.subjectLesions
dc.subjectImage reconstruction
dc.subjectComputed tomography
dc.subjectHumans
dc.subjectTesting
dc.subjectAnatomy
dc.subjectComputational modeling
dc.subjectIterative algorithms
dc.subjectFeedback
dc.subjectPredictive models
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.titleChoosing anatomical-prior strength for MAP SPECT reconstruction to maximize lesion detectability
dc.typeConference Paper
dc.source.volume6
dc.source.issue1
dc.identifier.legacycoverpagehttps://escholarship.umassmed.edu/faculty_pubs/1754
dc.identifier.contextkey18961150
html.description.abstract<p>With the widespread availability of SPECT/CT systems it has become feasible to incorporate prior knowledge about anatomical boundaries into the SPECT reconstruction process, thus improving observer performance on tasks of clinical interest. We determine the optimal anatomical-prior strength for lesion search by measuring area under the LROC curve using human observers. We conclude that prior strength should be chosen assuming that only organ boundaries are available, even if lesion boundaries will also be known some of the time. We also test whether or not the presence of anatomical priors affects the observer's strategy, and conclude that mixing images with and without priors does not hurt reader performance when priors are not available. Finally, we examine whether using an anatomical prior in SPECT reconstruction helps observer performance when the observer already knows the possible lesion location, and conclude for this task anatomical priors do not provide the same improvement seen in search tasks.</p>
dc.identifier.submissionpathfaculty_pubs/1754
dc.contributor.departmentDepartment of Radiology
dc.source.pages4222-4225


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