{"id":"https://openalex.org/W1964138276","doi":"https://doi.org/10.1109/bmei.2011.6098248","title":"Inter-frame motion correction for small animal PET imaging","display_name":"Inter-frame motion correction for small animal PET imaging","publication_year":2011,"publication_date":"2011-10-01","ids":{"openalex":"https://openalex.org/W1964138276","doi":"https://doi.org/10.1109/bmei.2011.6098248","mag":"1964138276"},"language":"en","primary_location":{"id":"doi:10.1109/bmei.2011.6098248","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bmei.2011.6098248","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 4th International Conference on Biomedical Engineering and Informatics (BMEI)","raw_type":"proceedings-article"},"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/A5004835193","display_name":"Yi Su","orcid":"https://orcid.org/0000-0002-1946-8063"},"institutions":[{"id":"https://openalex.org/I4210102181","display_name":"Mallinckrodt (United States)","ror":"https://ror.org/01akman82","country_code":"US","type":"company","lineage":["https://openalex.org/I4210102181"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yi Su","raw_affiliation_strings":["Mallinckrodt Institute of Radiology, Washington University School of Medicine, Saint Louis, MO, USA","Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO., 63110, USA"],"affiliations":[{"raw_affiliation_string":"Mallinckrodt Institute of Radiology, Washington University School of Medicine, Saint Louis, MO, USA","institution_ids":["https://openalex.org/I4210102181"]},{"raw_affiliation_string":"Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO., 63110, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5004835193"],"corresponding_institution_ids":["https://openalex.org/I4210102181"],"apc_list":null,"apc_paid":null,"fwci":0.5083,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.67482177,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"338","last_page":"342"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":1.0,"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":1.0,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9995999932289124,"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/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9994999766349792,"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/computer-vision","display_name":"Computer vision","score":0.7841980457305908},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7359253168106079},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7226654291152954},{"id":"https://openalex.org/keywords/motion-compensation","display_name":"Motion compensation","score":0.6680995225906372},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5423468351364136},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.5407910346984863},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5403817296028137},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.47419649362564087},{"id":"https://openalex.org/keywords/motion-analysis","display_name":"Motion analysis","score":0.4388892352581024},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.42880186438560486},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.24078333377838135}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7841980457305908},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7359253168106079},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7226654291152954},{"id":"https://openalex.org/C128840427","wikidata":"https://www.wikidata.org/wiki/Q1302174","display_name":"Motion compensation","level":2,"score":0.6680995225906372},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5423468351364136},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.5407910346984863},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5403817296028137},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.47419649362564087},{"id":"https://openalex.org/C2777036941","wikidata":"https://www.wikidata.org/wiki/Q6917771","display_name":"Motion analysis","level":2,"score":0.4388892352581024},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.42880186438560486},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.24078333377838135},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bmei.2011.6098248","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bmei.2011.6098248","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 4th International Conference on Biomedical Engineering and Informatics (BMEI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1973270438","https://openalex.org/W1987047259","https://openalex.org/W1997130446","https://openalex.org/W2011718569","https://openalex.org/W2019492759","https://openalex.org/W2039659809","https://openalex.org/W2055894011","https://openalex.org/W2058054355","https://openalex.org/W2061929274","https://openalex.org/W2080110262","https://openalex.org/W2093244282","https://openalex.org/W2095662455","https://openalex.org/W2156875677","https://openalex.org/W2169227941","https://openalex.org/W2328251192","https://openalex.org/W4234790724"],"related_works":["https://openalex.org/W1579157894","https://openalex.org/W1967654336","https://openalex.org/W2060632806","https://openalex.org/W1530267862","https://openalex.org/W2995690499","https://openalex.org/W1494405360","https://openalex.org/W2050955821","https://openalex.org/W2153529351","https://openalex.org/W2040149295","https://openalex.org/W2016848112"],"abstract_inverted_index":{"Quantitative":[0],"analysis":[1,96],"of":[2,47,137],"dynamic":[3,17,48,101],"PET":[4,63,161],"images":[5,42],"provides":[6],"invaluable":[7],"information":[8],"to":[9,60,79,97,133],"biomedical":[10],"research.":[11],"Subject":[12],"motion":[13,22,35,112,127],"during":[14],"the":[15,45,104,109,121,135],"long":[16],"image":[18,75],"acquisition":[19],"can":[20,31,57],"cause":[21],"artifacts":[23],"that":[24,92],"deteriorate":[25],"quantitative":[26],"analysis.":[27],"Image":[28],"registration":[29,76,107],"technique":[30,78,129,150],"compensate":[32,80],"for":[33,40,81,106,120],"such":[34],"and":[36,70,142,154],"has":[37],"been":[38],"applied":[39,59],"human":[41],"especially":[43],"in":[44],"context":[46],"contrast":[49],"enhanced":[50],"magnetic":[51],"resonance":[52],"imaging.":[53,64],"The":[54,126,147],"same":[55],"principle":[56,94],"be":[58],"small":[61],"animal":[62,160],"In":[65],"this":[66],"study,":[67],"we":[68],"developed":[69],"evaluated":[71],"several":[72],"strategies":[73],"using":[74,93],"based":[77],"inter-frame":[82,149],"motion.":[83],"Based":[84],"on":[85],"realistic":[86],"simulation":[87],"studies,":[88],"it":[89],"was":[90,108,117,130],"determined":[91],"component":[95],"create":[98],"a":[99],"synthetic":[100],"sequence":[102],"as":[103],"reference":[105],"best":[110],"performing":[111],"compensation":[113],"technique.":[114],"Sub-millimeter":[115],"accuracy":[116],"achieved":[118],"even":[119],"early":[122],"five":[123],"second":[124],"frames.":[125],"correction":[128],"also":[131],"able":[132],"improve":[134],"region":[136],"interest":[138],"time":[139],"activity":[140],"curves":[141],"arterial":[143],"input":[144],"function":[145],"(AIF).":[146],"proposed":[148],"generated":[151],"promising":[152],"results":[153],"warranted":[155],"more":[156],"extensive":[157],"evaluation":[158],"with":[159],"data.":[162]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}