{"id":"https://openalex.org/W4312740316","doi":"https://doi.org/10.1109/tmi.2022.3230635","title":"Lateral Strain Imaging Using Self-Supervised and Physically Inspired Constraints in Unsupervised Regularized Elastography","display_name":"Lateral Strain Imaging Using Self-Supervised and Physically Inspired Constraints in Unsupervised Regularized Elastography","publication_year":2022,"publication_date":"2022-12-19","ids":{"openalex":"https://openalex.org/W4312740316","doi":"https://doi.org/10.1109/tmi.2022.3230635","pmid":"https://pubmed.ncbi.nlm.nih.gov/37015465"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2022.3230635","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2022.3230635","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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 Medical Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5068012805","display_name":"Ali K. Z. Tehrani","orcid":"https://orcid.org/0000-0002-2686-8989"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Ali K. Z. Tehrani","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Concordia University, Montreal, Canada"],"raw_orcid":"https://orcid.org/0000-0002-2686-8989","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Concordia University, Montreal, Canada","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066345001","display_name":"Md Ashikuzzaman","orcid":"https://orcid.org/0000-0001-9785-435X"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Md Ashikuzzaman","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Concordia University, Montreal, Canada"],"raw_orcid":"https://orcid.org/0000-0001-9785-435X","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Concordia University, Montreal, Canada","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077743201","display_name":"Hassan Rivaz","orcid":"https://orcid.org/0000-0001-5800-3034"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Hassan Rivaz","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Concordia University, Montreal, Canada"],"raw_orcid":"https://orcid.org/0000-0001-5800-3034","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Concordia University, Montreal, Canada","institution_ids":["https://openalex.org/I60158472"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5068012805"],"corresponding_institution_ids":["https://openalex.org/I60158472"],"apc_list":null,"apc_paid":null,"fwci":3.1763,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.92330927,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"42","issue":"5","first_page":"1462","last_page":"1471"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10727","display_name":"Ultrasound Imaging and Elastography","score":0.9991999864578247,"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/T10727","display_name":"Ultrasound Imaging and Elastography","score":0.9991999864578247,"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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9921000003814697,"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/T11366","display_name":"Elasticity and Material Modeling","score":0.9919999837875366,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/elastography","display_name":"Elastography","score":0.8122658729553223},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6586402654647827},{"id":"https://openalex.org/keywords/imaging-phantom","display_name":"Imaging phantom","score":0.6349600553512573},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5525720119476318},{"id":"https://openalex.org/keywords/lateral-strain","display_name":"Lateral strain","score":0.5434731245040894},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5169903039932251},{"id":"https://openalex.org/keywords/elasticity","display_name":"Elasticity (physics)","score":0.5124731659889221},{"id":"https://openalex.org/keywords/displacement","display_name":"Displacement (psychology)","score":0.49869275093078613},{"id":"https://openalex.org/keywords/inverse-problem","display_name":"Inverse problem","score":0.4833085536956787},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.42304807901382446},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.41622117161750793},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.410078763961792},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38732388615608215},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35437068343162537},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.29040607810020447},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.2000419795513153},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.1921461820602417},{"id":"https://openalex.org/keywords/ultrasound","display_name":"Ultrasound","score":0.1870327591896057},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.16565093398094177},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.1237528920173645}],"concepts":[{"id":"https://openalex.org/C2777690781","wikidata":"https://www.wikidata.org/wiki/Q1324974","display_name":"Elastography","level":3,"score":0.8122658729553223},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6586402654647827},{"id":"https://openalex.org/C104293457","wikidata":"https://www.wikidata.org/wiki/Q28324852","display_name":"Imaging phantom","level":2,"score":0.6349600553512573},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5525720119476318},{"id":"https://openalex.org/C116642361","wikidata":"https://www.wikidata.org/wiki/Q6495709","display_name":"Lateral strain","level":2,"score":0.5434731245040894},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5169903039932251},{"id":"https://openalex.org/C121854251","wikidata":"https://www.wikidata.org/wiki/Q62932","display_name":"Elasticity (physics)","level":2,"score":0.5124731659889221},{"id":"https://openalex.org/C107551265","wikidata":"https://www.wikidata.org/wiki/Q1458245","display_name":"Displacement (psychology)","level":2,"score":0.49869275093078613},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.4833085536956787},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.42304807901382446},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.41622117161750793},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.410078763961792},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38732388615608215},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35437068343162537},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.29040607810020447},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.2000419795513153},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.1921461820602417},{"id":"https://openalex.org/C143753070","wikidata":"https://www.wikidata.org/wiki/Q162564","display_name":"Ultrasound","level":2,"score":0.1870327591896057},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.16565093398094177},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.1237528920173645},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019047","descriptor_name":"Phantoms, Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019047","descriptor_name":"Phantoms, Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019047","descriptor_name":"Phantoms, Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D054459","descriptor_name":"Elasticity Imaging Techniques","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D054459","descriptor_name":"Elasticity Imaging Techniques","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D054459","descriptor_name":"Elasticity Imaging Techniques","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/tmi.2022.3230635","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2022.3230635","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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 Medical Imaging","raw_type":"journal-article"},{"id":"pmid:37015465","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37015465","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on medical imaging","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5099999904632568,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":67,"referenced_works":["https://openalex.org/W1606858750","https://openalex.org/W1974848135","https://openalex.org/W1992341487","https://openalex.org/W2015085190","https://openalex.org/W2022950099","https://openalex.org/W2098522461","https://openalex.org/W2099474155","https://openalex.org/W2099826407","https://openalex.org/W2102115196","https://openalex.org/W2104125540","https://openalex.org/W2105319113","https://openalex.org/W2121401384","https://openalex.org/W2126868565","https://openalex.org/W2150681820","https://openalex.org/W2166343165","https://openalex.org/W2276207819","https://openalex.org/W2313315846","https://openalex.org/W2601238558","https://openalex.org/W2614838422","https://openalex.org/W2646681762","https://openalex.org/W2782558478","https://openalex.org/W2791186391","https://openalex.org/W2804059733","https://openalex.org/W2890939680","https://openalex.org/W2892150792","https://openalex.org/W2906779901","https://openalex.org/W2908127752","https://openalex.org/W2942440950","https://openalex.org/W2953920773","https://openalex.org/W2961935784","https://openalex.org/W2963190374","https://openalex.org/W2963782415","https://openalex.org/W2963891416","https://openalex.org/W2967043539","https://openalex.org/W2980116241","https://openalex.org/W2987618304","https://openalex.org/W3004319130","https://openalex.org/W3006670125","https://openalex.org/W3008655096","https://openalex.org/W3013402579","https://openalex.org/W3025060801","https://openalex.org/W3034896357","https://openalex.org/W3080155281","https://openalex.org/W3082585461","https://openalex.org/W3094854263","https://openalex.org/W3095960707","https://openalex.org/W3100280854","https://openalex.org/W3104223558","https://openalex.org/W3104373315","https://openalex.org/W3117803980","https://openalex.org/W3125908253","https://openalex.org/W3132719163","https://openalex.org/W3135036950","https://openalex.org/W3136618788","https://openalex.org/W3162052924","https://openalex.org/W3185160031","https://openalex.org/W3212293062","https://openalex.org/W4205266561","https://openalex.org/W4210299862","https://openalex.org/W4210460230","https://openalex.org/W4210592692","https://openalex.org/W4213206844","https://openalex.org/W4213378429","https://openalex.org/W4225372979","https://openalex.org/W4226224591","https://openalex.org/W4295917217","https://openalex.org/W6735498187"],"related_works":["https://openalex.org/W2094248028","https://openalex.org/W2519406987","https://openalex.org/W2102115196","https://openalex.org/W3082544256","https://openalex.org/W3082946673","https://openalex.org/W1964074599","https://openalex.org/W2155308211","https://openalex.org/W2106205146","https://openalex.org/W4250160423","https://openalex.org/W2128470821"],"abstract_inverted_index":{"Convolutional":[0],"Neural":[1],"Networks":[2],"(CNN)":[3],"have":[4,17],"shown":[5],"promising":[6],"results":[7],"for":[8,27,133],"displacement":[9,23],"estimation":[10,24,58],"in":[11,29,40,68,84,105,178],"UltraSound":[12],"Elastography":[13,136],"(USE).":[14],"Many":[15],"modifications":[16],"been":[18],"proposed":[19,184],"to":[20,149,164],"improve":[21,150],"the":[22,30,34,46,62,65,75,91,94,101,115,144,151,156,167,183],"of":[25,49,81,111],"CNNs":[26],"USE":[28,106],"axial":[31,76,92,116,188],"direction.":[32,86],"However,":[33],"lateral":[35,56,95,118,152,190],"strain,":[36],"which":[37,113],"is":[38,59,107],"essential":[39],"several":[41],"downstream":[42],"tasks":[43],"such":[44],"as":[45],"inverse":[47],"problem":[48],"elasticity":[50],"imaging,":[51],"remains":[52],"a":[53,79,141],"challenge.":[54],"The":[55],"strain":[57,153,168,191],"complicated":[60],"since":[61],"motion":[63,103],"and":[64,78,93,117,177,189],"sampling":[66],"frequency":[67],"this":[69,85,121],"direction":[70],"are":[71,97],"substantially":[72],"lower":[73],"than":[74],"one,":[77],"lack":[80],"carrier":[82],"signal":[83],"In":[87,99,120,155],"computer":[88],"vision":[89],"applications,":[90],"motions":[96],"independent.":[98],"contrast,":[100],"tissue":[102],"pattern":[104],"governed":[108],"by":[109,124],"laws":[110],"physics":[112],"link":[114],"displacements.":[119],"paper,":[122],"inspired":[123],"Hooke's":[125],"law,":[126],"we,":[127],"first":[128],"propose":[129,160],"Physically":[130],"Inspired":[131],"ConsTraint":[132],"Unsupervised":[134],"Regularized":[135],"(PICTURE),":[137],"where":[138],"we":[139,159],"impose":[140],"constraint":[142],"on":[143,173],"Effective":[145],"Poisson's":[146],"ratio":[147],"(EPR)":[148],"estimation.":[154,170],"next":[157],"step,":[158],"self-supervised":[161],"PICTURE":[162],"(sPICTURE)":[163],"further":[165],"enhance":[166],"image":[169],"Extensive":[171],"experiments":[172],"simulation,":[174],"experimental":[175],"phantom":[176],"vivo":[179],"data":[180],"demonstrate":[181],"that":[182],"methods":[185],"estimate":[186],"accurate":[187],"maps.":[192]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":9}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}