{"id":"https://openalex.org/W2100159420","doi":"https://doi.org/10.1109/isbi.2009.5193189","title":"Spatial resolution and noise properties of regularized motion-compensated image reconstruction","display_name":"Spatial resolution and noise properties of regularized motion-compensated image reconstruction","publication_year":2009,"publication_date":"2009-06-01","ids":{"openalex":"https://openalex.org/W2100159420","doi":"https://doi.org/10.1109/isbi.2009.5193189","mag":"2100159420"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2009.5193189","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2009.5193189","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://deepblue.lib.umich.edu/bitstream/2027.42/85889/1/Fessler240.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5052523460","display_name":"Se Young Chun","orcid":"https://orcid.org/0000-0001-8739-8960"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Se Young Chun","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA","Department of Electrical Engineering and Computer Science, the University of Michigan, 1301 Beal Avenue, Ann Arbor, 48109-2122, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]},{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, the University of Michigan, 1301 Beal Avenue, Ann Arbor, 48109-2122, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027207271","display_name":"Jeffrey A. Fessler","orcid":"https://orcid.org/0000-0001-9998-3315"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jeffrey A. Fessler","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA","Department of Electrical Engineering and Computer Science, the University of Michigan, 1301 Beal Avenue, Ann Arbor, 48109-2122, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]},{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, the University of Michigan, 1301 Beal Avenue, Ann Arbor, 48109-2122, USA","institution_ids":["https://openalex.org/I27837315"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I27837315"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"27","issue":null,"first_page":"863","last_page":"866"},"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/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9969000220298767,"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":0.705945611000061},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6690411567687988},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5955003499984741},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.578656792640686},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.5762229561805725},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5726529955863953},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5674120783805847},{"id":"https://openalex.org/keywords/motion-field","display_name":"Motion field","score":0.5618236660957336},{"id":"https://openalex.org/keywords/motion-compensation","display_name":"Motion compensation","score":0.5053980350494385},{"id":"https://openalex.org/keywords/structure-from-motion","display_name":"Structure from motion","score":0.43826791644096375},{"id":"https://openalex.org/keywords/image-noise","display_name":"Image noise","score":0.4193218946456909},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3501509428024292},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.22228407859802246}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.705945611000061},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6690411567687988},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5955003499984741},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.578656792640686},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.5762229561805725},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5726529955863953},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5674120783805847},{"id":"https://openalex.org/C124774092","wikidata":"https://www.wikidata.org/wiki/Q6917782","display_name":"Motion field","level":3,"score":0.5618236660957336},{"id":"https://openalex.org/C128840427","wikidata":"https://www.wikidata.org/wiki/Q1302174","display_name":"Motion compensation","level":2,"score":0.5053980350494385},{"id":"https://openalex.org/C146159030","wikidata":"https://www.wikidata.org/wiki/Q7625099","display_name":"Structure from motion","level":3,"score":0.43826791644096375},{"id":"https://openalex.org/C35772409","wikidata":"https://www.wikidata.org/wiki/Q1323086","display_name":"Image noise","level":3,"score":0.4193218946456909},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3501509428024292},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.22228407859802246}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/isbi.2009.5193189","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2009.5193189","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro","raw_type":"proceedings-article"},{"id":"pmh:oai:deepblue.lib.umich.edu:2027.42/85889","is_oa":true,"landing_page_url":"http://hdl.handle.net/2027.42/85889","pdf_url":"http://deepblue.lib.umich.edu/bitstream/2027.42/85889/1/Fessler240.pdf","source":{"id":"https://openalex.org/S4306400393","display_name":"Deep Blue (University of Michigan)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I27837315","host_organization_name":"University of Michigan","host_organization_lineage":["https://openalex.org/I27837315"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},{"id":"pmh:oai:scholarworks.unist.ac.kr:201301/46838","is_oa":false,"landing_page_url":"https://scholarworks.unist.ac.kr/handle/201301/46838","pdf_url":null,"source":{"id":"https://openalex.org/S4306401118","display_name":"Scholarworks@UNIST (Ulsan National Institute of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I48566637","host_organization_name":"Ulsan National Institute of Science and Technology","host_organization_lineage":["https://openalex.org/I48566637"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"CONFERENCE"}],"best_oa_location":{"id":"pmh:oai:deepblue.lib.umich.edu:2027.42/85889","is_oa":true,"landing_page_url":"http://hdl.handle.net/2027.42/85889","pdf_url":"http://deepblue.lib.umich.edu/bitstream/2027.42/85889/1/Fessler240.pdf","source":{"id":"https://openalex.org/S4306400393","display_name":"Deep Blue (University of Michigan)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I27837315","host_organization_name":"University of Michigan","host_organization_lineage":["https://openalex.org/I27837315"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.5600000023841858,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2100159420.pdf","grobid_xml":"https://content.openalex.org/works/W2100159420.grobid-xml"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W1968941901","https://openalex.org/W1999263719","https://openalex.org/W2009903851","https://openalex.org/W2047032981","https://openalex.org/W2053958583","https://openalex.org/W2070480087","https://openalex.org/W2104455572","https://openalex.org/W2111422394","https://openalex.org/W2113891902","https://openalex.org/W2121570028","https://openalex.org/W2154930605","https://openalex.org/W2162308311","https://openalex.org/W2165418414","https://openalex.org/W2168853755","https://openalex.org/W6642323857"],"related_works":["https://openalex.org/W1501297619","https://openalex.org/W1541334882","https://openalex.org/W2053820737","https://openalex.org/W1997997397","https://openalex.org/W2153529351","https://openalex.org/W1988727984","https://openalex.org/W1484667368","https://openalex.org/W2026674073","https://openalex.org/W1967654336","https://openalex.org/W2012241496"],"abstract_inverted_index":{"Reducing":[0],"motion":[1,21,63,98,105],"artifacts":[2,22],"is":[3],"an":[4],"important":[5],"problem":[6],"in":[7,27,53],"medical":[8,55],"image":[9,44],"reconstruction.":[10],"Using":[11],"gating":[12],"to":[13,38,58,106,113,119],"partition":[14],"data":[15],"into":[16],"separate":[17],"frames":[18,37],"can":[19,24,34],"reduce":[20,39,59],"but":[23],"increase":[25],"noise":[26,40,61,76,88,134],"images":[28],"reconstructed":[29],"from":[30],"individual":[31],"frames.":[32],"One":[33],"pool":[35],"the":[36,72,84,104,128,131,138,144,148,153,160],"by":[41],"using":[42],"motion-compensated":[43],"reconstruction":[45],"(MCIR)":[46],"methods.":[47,80],"MCIR":[48,79,91],"methods":[49,92],"have":[50],"been":[51,68],"studied":[52],"many":[54],"imaging":[56],"modalities":[57],"both":[60,143],"and":[62,75,87,130,147],"artifacts.":[64],"However,":[65],"there":[66],"has":[67],"less":[69],"analysis":[70,135],"of":[71,78,90,127,152],"spatial":[73,85,116],"resolution":[74,86,122],"properties":[77,89,123],"This":[81],"paper":[82],"analyzes":[83],"based":[93],"on":[94,142],"a":[95,111],"general":[96],"parametric":[97],"model.":[99],"For":[100],"simplicity":[101],"we":[102],"consider":[103],"be":[107],"given.":[108],"We":[109],"present":[110],"method":[112],"choose":[114],"quadratic":[115],"regularization":[117],"parameters":[118],"provide":[120],"predictable":[121],"that":[124,137],"are":[125],"independent":[126],"object":[129],"motion.":[132,154],"The":[133],"shows":[136],"estimator":[139],"variance":[140],"depends":[141],"measurement":[145],"covariance":[146],"Jacobian":[149],"determinant":[150],"values":[151],"A":[155],"2D":[156],"PET":[157],"simulation":[158],"demonstrates":[159],"theoretical":[161],"results.":[162]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2016-06-24T00:00:00"}
