{"id":"https://openalex.org/W4406261306","doi":"https://doi.org/10.1109/bibm62325.2024.10822170","title":"Projection geometry invariant nonrigid motion correction","display_name":"Projection geometry invariant nonrigid motion correction","publication_year":2024,"publication_date":"2024-12-03","ids":{"openalex":"https://openalex.org/W4406261306","doi":"https://doi.org/10.1109/bibm62325.2024.10822170"},"language":"en","primary_location":{"id":"doi:10.1109/bibm62325.2024.10822170","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm62325.2024.10822170","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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/A5102854927","display_name":"A. Sz\u0171cs","orcid":"https://orcid.org/0000-0002-7984-4542"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"\u00c1d\u00e1m Istv\u00e1n Sz\u0171cs","raw_affiliation_strings":["Eötvös Loránd University,Faculty of Informatics,Department of Computer Algebra,Budapest,Hungary"],"affiliations":[{"raw_affiliation_string":"Eötvös Loránd University,Faculty of Informatics,Department of Computer Algebra,Budapest,Hungary","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025237720","display_name":"B. Kari","orcid":"https://orcid.org/0009-0000-5091-7712"},"institutions":[{"id":"https://openalex.org/I101202996","display_name":"Semmelweis University","ror":"https://ror.org/01g9ty582","country_code":"HU","type":"education","lineage":["https://openalex.org/I101202996"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"B\u00e9la K\u00e1ri","raw_affiliation_strings":["Semmelweis University,Medical Imaging Clinic,Department of Nuclear Medicine,Budapest,Hungary"],"affiliations":[{"raw_affiliation_string":"Semmelweis University,Medical Imaging Clinic,Department of Nuclear Medicine,Budapest,Hungary","institution_ids":["https://openalex.org/I101202996"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5097424552","display_name":"Oszk\u00e1r P\u00e1rtos","orcid":null},"institutions":[{"id":"https://openalex.org/I101202996","display_name":"Semmelweis University","ror":"https://ror.org/01g9ty582","country_code":"HU","type":"education","lineage":["https://openalex.org/I101202996"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Oszk\u00e1r P\u00e1rtos","raw_affiliation_strings":["Semmelweis University,Medical Imaging Clinic,Department of Nuclear Medicine,Budapest,Hungary"],"affiliations":[{"raw_affiliation_string":"Semmelweis University,Medical Imaging Clinic,Department of Nuclear Medicine,Budapest,Hungary","institution_ids":["https://openalex.org/I101202996"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102854927"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.26973477,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5546","last_page":"5552"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11245","display_name":"Advanced Numerical Analysis Techniques","score":0.9868000149726868,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11245","display_name":"Advanced Numerical Analysis Techniques","score":0.9868000149726868,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9865000247955322,"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/T10571","display_name":"Robotic Mechanisms and Dynamics","score":0.9850000143051147,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.6010462045669556},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.5382207632064819},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.48086124658584595},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.4476006031036377},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4319894313812256},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.43095940351486206},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41648000478744507},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2531043291091919},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.11263400316238403}],"concepts":[{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.6010462045669556},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.5382207632064819},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.48086124658584595},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.4476006031036377},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4319894313812256},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43095940351486206},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41648000478744507},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2531043291091919},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.11263400316238403},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm62325.2024.10822170","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm62325.2024.10822170","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334111","display_name":"Innovation Fund","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1530142689","https://openalex.org/W1969765423","https://openalex.org/W1983281817","https://openalex.org/W2027660827","https://openalex.org/W2048987608","https://openalex.org/W2101234009","https://openalex.org/W2104986507","https://openalex.org/W2108425939","https://openalex.org/W2123711313","https://openalex.org/W2133455204","https://openalex.org/W2143516773","https://openalex.org/W2170167891","https://openalex.org/W2211236207","https://openalex.org/W2466977012","https://openalex.org/W2800605869","https://openalex.org/W2904398937","https://openalex.org/W2909091612","https://openalex.org/W3033100241","https://openalex.org/W3169795239","https://openalex.org/W3189540391","https://openalex.org/W3203862496","https://openalex.org/W4206471589","https://openalex.org/W4233762729","https://openalex.org/W4297896226","https://openalex.org/W6640333987","https://openalex.org/W6756138707"],"related_works":["https://openalex.org/W2351452215","https://openalex.org/W2617963432","https://openalex.org/W3202199134","https://openalex.org/W4386051551","https://openalex.org/W2755342338","https://openalex.org/W2779427294","https://openalex.org/W1574341164","https://openalex.org/W2725946685","https://openalex.org/W2775347418","https://openalex.org/W2625805835"],"abstract_inverted_index":{"Various":[0],"functional":[1,25,116],"imaging":[2,26,61,184],"cameras":[3],"are":[4,27,108],"specialized":[5],"to":[6,34,64,73,141,173,213,227],"acquire":[7],"the":[8,46,57,77,83,89,97,103,111,134,143,152,175,179,216,230],"biochemical":[9],"processes":[10],"in":[11,37,49,218],"a":[12,44,164,202],"time":[13],"and":[14,31,40,59,182,193,253,264],"space-dependent":[15],"way":[16],"of":[17,24,76,80,115,136],"different":[18,98],"organs":[19],"in-vivo.":[20],"The":[21,157,186,210],"main":[22,112],"properties":[23],"relatively":[28],"low":[29,194],"resolution":[30,197],"high":[32,196],"sensitivity":[33],"be":[35],"manifested":[36],"multiple":[38,121,256],"collimation":[39,129,149,199],"detection":[41],"strategies.":[42],"As":[43],"result,":[45],"projection":[47,257],"geometry":[48,150,242],"each":[50],"multi-vendor":[51],"camera":[52],"has":[53],"large":[54],"variability,":[55],"making":[56],"inherent":[58],"acquired":[60,81,180],"artifacts":[62,181],"hard":[63],"handle":[65],"by":[66,120,178],"algorithms.":[67],"A":[68,241],"theoretical":[69],"methodology":[70],"is":[71,93,161,188,212,251],"developed":[72],"overcome":[74,142,174],"one":[75],"biggest":[78],"effects":[79],"imperfection,":[82],"patient\u2019s":[84],"motion":[85,99,145],"which":[86],"interferes":[87],"with":[88,147,168,200,247],"heart\u2019s":[90],"motion.":[91],"It":[92],"well":[94],"known":[95],"that,":[96],"influences":[100],"may":[101],"alter":[102],"crucial":[104],"quantitative":[105],"measures.":[106],"These":[107],"rendered":[109],"as":[110,238],"important":[113],"issues":[114],"imaging.":[117],"Solutions":[118],"exist":[119],"commercial":[122],"approaches":[123],"already,":[124],"but":[125],"only":[126],"for":[127,224,270],"specific":[128],"geometries.":[130],"This":[131],"motivation":[132],"inspired":[133],"development":[135],"an":[137],"automatic":[138],"optimization":[139,245],"method":[140],"above-mentioned":[144],"artifact":[146],"general":[148],"on":[151,163,190,229,255,261],"complete":[153],"detector":[154],"field-of-view":[155],"(FOV).":[156],"theory":[158],"(geo":[159],"mc)":[160],"based":[162],"metamorphic":[165],"control":[166],"problem":[167],"Optimal":[169],"Transport":[170],"(OT)":[171],"augmentation":[172],"problems":[176],"introduced":[177],"intrinsic":[183],"system.":[185],"algorithm":[187],"designed":[189,254],"multi-pinhole":[191],"(MPH)":[192],"energy":[195],"(LEHR)":[198],"promising":[201,269],"great":[203],"improvement":[204],"over":[205],"Optial":[206],"Flow":[207],"(OF)":[208],"methods.":[209],"aim":[211],"further":[214],"lower":[215],"error":[217],"total":[219],"perfusion":[220],"deficit":[221],"(TPD)":[222],"scores":[223],"practical":[225],"ability":[226],"apply":[228],"patient":[231,266],"Single-Photon":[232],"Emission":[233],"Computed":[234],"Tomography":[235],"(SPECT)":[236],"studies":[237,263],"well.":[239],"Conclusion:":[240],"invariant":[243],"global":[244],"technique":[246],"nonrigid":[248],"displacement":[249],"correction":[250],"shown":[252],"acquisitions.":[258],"Further":[259],"application":[260],"phantom":[262],"later":[265],"applicability":[267],"looks":[268],"4":[271],"dimensional":[272],"protocols":[273],"too.":[274]},"counts_by_year":[],"updated_date":"2025-12-19T19:40:27.379048","created_date":"2025-10-10T00:00:00"}