Human-observer LROC study of lesion detection in Ga-67 SPECT images reconstructed using MAP with anatomical priors
dc.contributor.author | Lehovich, Andre | |
dc.contributor.author | Bruyant, Philippe P. | |
dc.contributor.author | Gifford, Howard C. | |
dc.contributor.author | Schneider, Peter B. | |
dc.contributor.author | Squires, Shane | |
dc.contributor.author | Licho, Robert | |
dc.contributor.author | Gindi, Gene | |
dc.contributor.author | King, Michael A. | |
dc.date | 2022-08-11T08:08:24.000 | |
dc.date.accessioned | 2022-08-23T15:54:20Z | |
dc.date.available | 2022-08-23T15:54:20Z | |
dc.date.issued | 2006-10-29 | |
dc.date.submitted | 2020-08-17 | |
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.issn | 1095-7863 (Linking) | |
dc.identifier.doi | 10.1109/NSSMIC.2006.354226 | |
dc.identifier.pmid | 19412357 | |
dc.identifier.uri | http://hdl.handle.net/20.500.14038/29532 | |
dc.description.abstract | 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. | |
dc.language.iso | en_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.url | https://www.ncbi.nlm.nih.gov/pmc/articles/pmc2675947/ | |
dc.subject | SPECT reconstruction | |
dc.subject | anatomical priors | |
dc.subject | LROC | |
dc.subject | human observer study | |
dc.subject | Analytical, Diagnostic and Therapeutic Techniques and Equipment | |
dc.subject | Bioimaging and Biomedical Optics | |
dc.subject | Biological and Chemical Physics | |
dc.subject | Nuclear | |
dc.subject | Nuclear Engineering | |
dc.subject | Radiology | |
dc.title | Human-observer LROC study of lesion detection in Ga-67 SPECT images reconstructed using MAP with anatomical priors | |
dc.type | Conference Paper | |
dc.source.volume | 3 | |
dc.identifier.legacycoverpage | https://escholarship.umassmed.edu/faculty_pubs/1755 | |
dc.identifier.contextkey | 18961151 | |
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.submissionpath | faculty_pubs/1755 | |
dc.contributor.department | Division of Nuclear Medicine, Department of Radiology | |
dc.source.pages | 1699-1702 |