{"id":"https://openalex.org/W2175361009","doi":"https://doi.org/10.1109/23.856571","title":"The impact of ROI definition on estimator performance on FBP reconstructed Ga-67 SPECT images","display_name":"The impact of ROI definition on estimator performance on FBP reconstructed Ga-67 SPECT images","publication_year":2000,"publication_date":"2000-06-01","ids":{"openalex":"https://openalex.org/W2175361009","doi":"https://doi.org/10.1109/23.856571","mag":"2175361009"},"language":"en","primary_location":{"id":"doi:10.1109/23.856571","doi":"https://doi.org/10.1109/23.856571","is_oa":false,"landing_page_url":"https://doi.org/10.1109/23.856571","pdf_url":null,"source":{"id":"https://openalex.org/S14279044","display_name":"IEEE Transactions on Nuclear Science","issn_l":"0018-9499","issn":["0018-9499","1558-1578"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-b","jufo-1","norway-1","poland-70","russia-white-list-1"],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Nuclear Science","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5024081880","display_name":"Roger Glenn Wells","orcid":"https://orcid.org/0000-0002-5376-1263","observed_orcids":["https://orcid.org/0000-0002-5376-1263"]},"institutions":[{"id":"https://openalex.org/I166722992","display_name":"University of Massachusetts Chan Medical School","ror":"https://ror.org/0464eyp60","country_code":"US","type":"education","lineage":["https://openalex.org/I166722992"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"R.G. Wells","raw_affiliation_strings":["University of Massachusetts Medical School, Worcester, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Massachusetts Medical School, Worcester, MA, USA","institution_ids":["https://openalex.org/I166722992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032527429","display_name":"Howard C. Gifford","orcid":"https://orcid.org/0000-0001-6664-9943","observed_orcids":["https://orcid.org/0000-0001-6664-9943"]},"institutions":[{"id":"https://openalex.org/I166722992","display_name":"University of Massachusetts Chan Medical School","ror":"https://ror.org/0464eyp60","country_code":"US","type":"education","lineage":["https://openalex.org/I166722992"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"H.C. Gifford","raw_affiliation_strings":["University of Massachusetts Medical School, Worcester, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Massachusetts Medical School, Worcester, MA, USA","institution_ids":["https://openalex.org/I166722992"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075447974","display_name":"Michael A. King","orcid":"https://orcid.org/0000-0001-8347-9851","observed_orcids":["https://orcid.org/0000-0001-8347-9851"]},"institutions":[{"id":"https://openalex.org/I166722992","display_name":"University of Massachusetts Chan Medical School","ror":"https://ror.org/0464eyp60","country_code":"US","type":"education","lineage":["https://openalex.org/I166722992"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"M.A. King","raw_affiliation_strings":["University of Massachusetts Medical School, Worcester, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Massachusetts Medical School, Worcester, MA, USA","institution_ids":["https://openalex.org/I166722992"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I166722992"],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":0.323,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.66542433,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"47","issue":"3","first_page":"1210","last_page":"1217"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.0005000000237487257,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10372","display_name":"Cardiac Imaging and Diagnostics","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/region-of-interest-definition","display_name":"region of interest definition","score":0.7630000114440918},{"id":"https://openalex.org/keywords/activity-quantification","display_name":"activity quantification","score":0.5580000281333923},{"id":"https://openalex.org/keywords/filtered-back-projection","display_name":"filtered backprojection","score":0.8240000009536743},{"id":"https://openalex.org/keywords/binarization","display_name":"binarization","score":0.5419999957084656},{"id":"https://openalex.org/keywords/edge-detection","display_name":"edge detection","score":0.9789999723434448},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"signal-to-noise ratio","score":0.9139999747276306},{"id":"https://openalex.org/keywords/thoracic-lesions","display_name":"thoracic lesions","score":0.8130000233650208}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7565568089485168},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.6038467288017273},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.559666097164154},{"id":"https://openalex.org/C2780757906","wikidata":"https://www.wikidata.org/wiki/Q5276676","display_name":"Dilation (metric space)","level":2,"score":0.5595288276672363},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.5024473667144775},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.454074501991272},{"id":"https://openalex.org/C19609008","wikidata":"https://www.wikidata.org/wiki/Q2138203","display_name":"Region of interest","level":2,"score":0.44687631726264954},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.40446585416793823},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3626025915145874},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34126216173171997},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32287701964378357},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2426491379737854},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17679965496063232},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/23.856571","doi":"https://doi.org/10.1109/23.856571","is_oa":false,"landing_page_url":"https://doi.org/10.1109/23.856571","pdf_url":null,"source":{"id":"https://openalex.org/S14279044","display_name":"IEEE Transactions on Nuclear Science","issn_l":"0018-9499","issn":["0018-9499","1558-1578"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-b","jufo-1","norway-1","poland-70","russia-white-list-1"],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Nuclear Science","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1897532430","https://openalex.org/W1909309032","https://openalex.org/W1970273148","https://openalex.org/W1973132343","https://openalex.org/W2023756475","https://openalex.org/W2066697916","https://openalex.org/W2086784799","https://openalex.org/W2105583770","https://openalex.org/W2127741753","https://openalex.org/W2141526225","https://openalex.org/W2145023731","https://openalex.org/W2151484909","https://openalex.org/W2175949752","https://openalex.org/W2186237313","https://openalex.org/W2288561377","https://openalex.org/W2344689276","https://openalex.org/W2462852359"],"related_works":["https://openalex.org/W1921734277","https://openalex.org/W2158582456","https://openalex.org/W2216107032","https://openalex.org/W2556572367","https://openalex.org/W2163967799","https://openalex.org/W2544197901","https://openalex.org/W2103166698","https://openalex.org/W2546243578","https://openalex.org/W7100885388","https://openalex.org/W2115440838"],"abstract_inverted_index":{"Quantitative":[0],"accuracy":[1,116,125],"of":[2,17,29,93,132,166],"reconstructed":[3,36,43],"images":[4,92],"depends":[5],"not":[6],"only":[7],"on":[8,14,41,163],"the":[9,15,18,30,35,42,55,82,114,130,133,151,160,167,171,195],"reconstruction":[10,59],"strategy,":[11],"but":[12,203],"also":[13,65],"definition":[16],"estimator.":[19],"The":[20,61,77,98,110,155,191],"authors":[21,99,111],"investigate":[22],"estimators":[23,161],"based":[24,162],"on:":[25],"(1)":[26],"a":[27,47,73,164],"dilation":[28,165],"true":[31,168],"ROI,":[32],"(2)":[33],"thresholding":[34],"image,":[37,44],"(3)":[38],"edge":[39],"detection":[40],"and":[45,58,121,136,146,189,194],"(4)":[46],"quasi-Gauss-Markov":[48],"(QGM)":[49],"estimator":[50,63,120,193,197],"which":[51,142],"partially":[52],"compensates":[53],"for":[54,72,153],"image":[56,173],"acquisition":[57],"process.":[60],"Gauss-Markov":[62],"is":[64,79,105,126,148],"briefly":[66],"compared":[67],"to":[68,80,127,184,207],"these":[69],"first":[70],"4":[71],"simpler":[74],"imaging":[75],"problem.":[76],"task":[78],"find":[81],"activity":[83],"in":[84,90,129,186],"small":[85],"(1":[86],"cm":[87],"diameter)":[88],"lesions":[89],"simulated":[91],"thoracic":[94],"gallium":[95],"SPECT":[96],"scans.":[97],"consider":[100,112],"35":[101],"lesion":[102,187],"locations.":[103],"Reconstruction":[104],"done":[106],"with":[107,118],"Chang-corrected":[108],"FBP.":[109],"both":[113,144,181,198],"best":[115],"achievable":[117],"each":[119],"how":[122],"sensitive":[123,183,206],"this":[124],"errors":[128,185],"specification":[131],"lesion's":[134],"size":[135,188],"position.":[137,190],"A":[138],"signal-to-noise":[139],"ratio":[140],"(SNR)":[141],"combines":[143],"bias":[145],"variance":[147],"used":[149],"as":[150],"basis":[152],"comparison.":[154],"results":[156],"show":[157],"that":[158],"while":[159],"ROI":[169],"or":[170],"thresholded":[172],"can":[174],"produce":[175],"very":[176,182],"high":[177],"SNR,":[178,202],"they":[179],"are":[180,204],"edge-detection":[192],"QGM":[196],"have":[199],"lower":[200],"optimal":[201],"less":[205],"some":[208],"lesion-specification":[209],"errors.":[210]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2016-06-24T00:00:00"}
