{"id":"https://openalex.org/W4401752225","doi":"https://doi.org/10.1109/isbi56570.2024.10635348","title":"Unsupervised Structure-Aware Cascaded Recurrent Network Based Nonrigid Motion Correction for Ultrafast Power Doppler Imaging","display_name":"Unsupervised Structure-Aware Cascaded Recurrent Network Based Nonrigid Motion Correction for Ultrafast Power Doppler Imaging","publication_year":2024,"publication_date":"2024-05-27","ids":{"openalex":"https://openalex.org/W4401752225","doi":"https://doi.org/10.1109/isbi56570.2024.10635348"},"language":"en","primary_location":{"id":"doi:10.1109/isbi56570.2024.10635348","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/isbi56570.2024.10635348","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5077324834","display_name":"Xingyue Wei","orcid":"https://orcid.org/0000-0003-2618-6125"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingyue Wei","raw_affiliation_strings":["Tsinghua University,School of Biomedical Engineering,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University,School of Biomedical Engineering,Beijing,China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100431337","display_name":"Rui Wang","orcid":"https://orcid.org/0000-0002-9836-451X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Wang","raw_affiliation_strings":["Tsinghua University,School of Biomedical Engineering,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University,School of Biomedical Engineering,Beijing,China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029894649","display_name":"Lijie Huang","orcid":"https://orcid.org/0000-0003-2515-0315"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lijie Huang","raw_affiliation_strings":["Tsinghua University,School of Biomedical Engineering,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University,School of Biomedical Engineering,Beijing,China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101665022","display_name":"Jianwen Luo","orcid":"https://orcid.org/0000-0002-0186-6207"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianwen Luo","raw_affiliation_strings":["Tsinghua University,School of Biomedical Engineering,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University,School of Biomedical Engineering,Beijing,China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.24391727,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9984999895095825,"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"}},"topics":[{"id":"https://openalex.org/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9984999895095825,"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/T11569","display_name":"Optical Coherence Tomography Applications","score":0.9958999752998352,"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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9929999709129333,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/computer-science","display_name":"Computer science","score":0.6244570016860962},{"id":"https://openalex.org/keywords/ultrashort-pulse","display_name":"Ultrashort pulse","score":0.5787864923477173},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.5210877656936646},{"id":"https://openalex.org/keywords/doppler-effect","display_name":"Doppler effect","score":0.503767192363739},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.48820760846138},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47667574882507324},{"id":"https://openalex.org/keywords/power-doppler","display_name":"Power doppler","score":0.4577021598815918},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4519890248775482},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.19584164023399353},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1860303282737732},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.12573516368865967},{"id":"https://openalex.org/keywords/laser","display_name":"Laser","score":0.08012285828590393}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6244570016860962},{"id":"https://openalex.org/C178596936","wikidata":"https://www.wikidata.org/wiki/Q844471","display_name":"Ultrashort pulse","level":3,"score":0.5787864923477173},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.5210877656936646},{"id":"https://openalex.org/C142757262","wikidata":"https://www.wikidata.org/wiki/Q76436","display_name":"Doppler effect","level":2,"score":0.503767192363739},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.48820760846138},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47667574882507324},{"id":"https://openalex.org/C3017675446","wikidata":"https://www.wikidata.org/wiki/Q109374671","display_name":"Power doppler","level":3,"score":0.4577021598815918},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4519890248775482},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.19584164023399353},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1860303282737732},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.12573516368865967},{"id":"https://openalex.org/C520434653","wikidata":"https://www.wikidata.org/wiki/Q38867","display_name":"Laser","level":2,"score":0.08012285828590393},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C143753070","wikidata":"https://www.wikidata.org/wiki/Q162564","display_name":"Ultrasound","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi56570.2024.10635348","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/isbi56570.2024.10635348","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.49000000953674316}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W764651262","https://openalex.org/W1978106835","https://openalex.org/W2070712157","https://openalex.org/W2100608628","https://openalex.org/W2104591424","https://openalex.org/W2194775991","https://openalex.org/W2276207819","https://openalex.org/W2592929672","https://openalex.org/W2772101345","https://openalex.org/W2797822720","https://openalex.org/W2895875598","https://openalex.org/W3013402579","https://openalex.org/W3047057232","https://openalex.org/W3100280854","https://openalex.org/W3214127891","https://openalex.org/W4220915849","https://openalex.org/W4225091084","https://openalex.org/W4225372979","https://openalex.org/W4226085313","https://openalex.org/W4226251270"],"related_works":["https://openalex.org/W2006301743","https://openalex.org/W2106296380","https://openalex.org/W4401285412","https://openalex.org/W2428042130","https://openalex.org/W2025700329","https://openalex.org/W4312903331","https://openalex.org/W4250171038","https://openalex.org/W2333227569","https://openalex.org/W2024281342","https://openalex.org/W2046218724"],"abstract_inverted_index":{"The":[0,154,210],"visualization":[1],"and":[2,12,19,33,89,104,163,175,197,227],"quantitation":[3],"of":[4,128,136,166,187],"microvessels":[5,35],"attract":[6],"increasing":[7],"attention":[8],"because":[9],"microvessel":[10],"density":[11],"hemodynamics":[13],"are":[14,142,161,179,204],"closely":[15],"related":[16],"to":[17,31,43,132,145,150,181],"disease":[18],"neural":[20],"development.":[21],"Ultrafast":[22],"power":[23],"Doppler":[24],"imaging":[25],"(uPDI)":[26],"is":[27,41,47,122],"a":[28,95,198,236],"non-invasive":[29],"technology":[30],"image":[32,117],"quantify":[34],"with":[36,87,222],"high":[37],"sensitivity.":[38],"However,":[39],"it":[40,233],"sensitive":[42],"tissue":[44],"motion,":[45],"which":[46],"unavoidable":[48],"during":[49,124],"in-vivo":[50],"imaging.":[51],"Current":[52],"motion":[53,63,81,107,159,184,195,201,238],"correction":[54,82,103,160,185,196,202,239],"methods":[55],"used":[56],"in":[57,70],"uPDI":[58,155,220],"either":[59],"cannot":[60,65],"estimate":[61],"nonrigid":[62,106,194],"or":[64],"be":[66,235],"implemented":[67],"quickly.":[68],"Therefore,":[69],"this":[71],"study,":[72],"we":[73,93],"propose":[74],"an":[75],"unsupervised":[76],"structure-aware":[77],"recurrent":[78,119],"cascaded":[79,120],"coarse-to-fine":[80,96],"network":[83,131],"for":[84,241],"uPDI.":[85,242],"Dealing":[86],"complex":[88],"large":[90],"physiological":[91],"motions,":[92],"adapt":[94],"strategy":[97],"that":[98,110,213,232],"first":[99],"performs":[100],"affine":[101,111,130,137],"transformation":[102,112,138],"then":[105],"correction.":[108,139],"Considering":[109],"has":[113],"less":[114],"impact":[115],"on":[116],"correlation,":[118],"architecture":[121],"introduced":[123],"the":[125,129,134,147,164,183,188,207,214],"inference":[126],"stage":[127],"improve":[133],"accuracy":[135],"Edge":[140],"structures":[141],"automatically":[143],"extracted":[144],"guide":[146],"proposed":[148,189,215],"method":[149,203,216],"register":[151],"well":[152],"globally.":[153],"images":[156,221],"generated":[157],"after":[158],"visualized":[162],"profiles":[165],"local":[167],"microvessels,":[168],"full":[169],"width":[170],"at":[171],"half":[172],"maximum":[173],"(FWHM),":[174],"blood-to-tissue":[176],"ratio":[177],"(BTR)":[178],"calculated":[180],"evaluate":[182],"performance":[186],"method.":[190],"Normalized":[191],"cross-correlation":[192],"based":[193],"phase":[199],"correlation-based":[200],"selected":[205],"as":[206],"comparison":[208],"methods.":[209],"results":[211],"show":[212],"can":[217,234],"generate":[218],"better":[219],"lower":[223,228],"FWHM,":[224],"higher":[225],"BTR,":[226],"computational":[229],"time,":[230],"demonstrating":[231],"competitive":[237],"tool":[240]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
