{"id":"https://openalex.org/W2791613180","doi":"https://doi.org/10.1137/18m1174775","title":"Dynamic Spike Superresolution and Applications to Ultrafast Ultrasound Imaging","display_name":"Dynamic Spike Superresolution and Applications to Ultrafast Ultrasound Imaging","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2791613180","doi":"https://doi.org/10.1137/18m1174775","mag":"2791613180"},"language":"en","primary_location":{"id":"doi:10.1137/18m1174775","is_oa":false,"landing_page_url":"https://doi.org/10.1137/18m1174775","pdf_url":null,"source":{"id":"https://openalex.org/S152600803","display_name":"SIAM Journal on Imaging Sciences","issn_l":"1936-4954","issn":["1936-4954"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320508","host_organization_name":"Society for Industrial and Applied Mathematics","host_organization_lineage":["https://openalex.org/P4310320508"],"host_organization_lineage_names":["Society for Industrial and Applied Mathematics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIAM Journal on Imaging Sciences","raw_type":"journal-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1803.03251","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014665003","display_name":"Giovanni S. Alberti","orcid":"https://orcid.org/0000-0002-8612-3663"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Giovanni S. Alberti","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041497235","display_name":"Habib Ammari","orcid":"https://orcid.org/0000-0001-7278-4877"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Habib Ammari","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102022370","display_name":"Francisco Romero","orcid":"https://orcid.org/0000-0002-0056-5365"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Francisco Romero","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-0056-5365","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5015994846","display_name":"Timoth\u00e9e Wintz","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Timoth\u00e9e Wintz","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5014665003"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0997,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.40746341,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"12","issue":"3","first_page":"1501","last_page":"1527"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9994999766349792,"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":0.9994999766349792,"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/T10727","display_name":"Ultrasound Imaging and Elastography","score":0.9958999752998352,"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/T10958","display_name":"Ultrasound and Hyperthermia Applications","score":0.9929999709129333,"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/tracking","display_name":"Tracking (education)","score":0.6382957696914673},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6188200116157532},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.6166157126426697},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5955313444137573},{"id":"https://openalex.org/keywords/temporal-resolution","display_name":"Temporal resolution","score":0.49838805198669434},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4828815758228302},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.47958651185035706},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4682292342185974},{"id":"https://openalex.org/keywords/phase","display_name":"Phase (matter)","score":0.4287782609462738},{"id":"https://openalex.org/keywords/ultrashort-pulse","display_name":"Ultrashort pulse","score":0.42851877212524414},{"id":"https://openalex.org/keywords/phase-space","display_name":"Phase space","score":0.42507821321487427},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3768004775047302},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.3402496576309204},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3363876938819885},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.31746721267700195},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.31050917506217957},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.2895500063896179}],"concepts":[{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6382957696914673},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6188200116157532},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.6166157126426697},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5955313444137573},{"id":"https://openalex.org/C119666444","wikidata":"https://www.wikidata.org/wiki/Q5977280","display_name":"Temporal resolution","level":2,"score":0.49838805198669434},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4828815758228302},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.47958651185035706},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4682292342185974},{"id":"https://openalex.org/C44280652","wikidata":"https://www.wikidata.org/wiki/Q104837","display_name":"Phase (matter)","level":2,"score":0.4287782609462738},{"id":"https://openalex.org/C178596936","wikidata":"https://www.wikidata.org/wiki/Q844471","display_name":"Ultrashort pulse","level":3,"score":0.42851877212524414},{"id":"https://openalex.org/C151342819","wikidata":"https://www.wikidata.org/wiki/Q62542","display_name":"Phase space","level":2,"score":0.42507821321487427},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3768004775047302},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.3402496576309204},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3363876938819885},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.31746721267700195},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.31050917506217957},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.2895500063896179},{"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/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/C520434653","wikidata":"https://www.wikidata.org/wiki/Q38867","display_name":"Laser","level":2,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1137/18m1174775","is_oa":false,"landing_page_url":"https://doi.org/10.1137/18m1174775","pdf_url":null,"source":{"id":"https://openalex.org/S152600803","display_name":"SIAM Journal on Imaging Sciences","issn_l":"1936-4954","issn":["1936-4954"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320508","host_organization_name":"Society for Industrial and Applied Mathematics","host_organization_lineage":["https://openalex.org/P4310320508"],"host_organization_lineage_names":["Society for Industrial and Applied Mathematics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIAM Journal on Imaging Sciences","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1803.03251","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1803.03251","pdf_url":"https://arxiv.org/pdf/1803.03251","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},{"id":"mag:2791613180","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1803.03251v2","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:oai:iris.unige.it:11567/970344","is_oa":true,"landing_page_url":"http://hdl.handle.net/11567/970344","pdf_url":null,"source":{"id":"https://openalex.org/S4377196291","display_name":"CINECA IRIS Institutial Research Information System (University of Genoa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I83816512","host_organization_name":"University of Genoa","host_organization_lineage":["https://openalex.org/I83816512"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"},{"id":"doi:10.48550/arxiv.1803.03251","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1803.03251","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"},{"id":"mag:2970356526","is_oa":false,"landing_page_url":"https://www.research-collection.ethz.ch/handle/20.500.11850/297896","pdf_url":null,"source":{"id":"https://openalex.org/S4306529093","display_name":"SAM Research Report","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"SAM Research Report","raw_type":null}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1803.03251","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1803.03251","pdf_url":"https://arxiv.org/pdf/1803.03251","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1626513324","https://openalex.org/W1973042235","https://openalex.org/W1973071385","https://openalex.org/W2010807412","https://openalex.org/W2012777688","https://openalex.org/W2037437563","https://openalex.org/W2054455698","https://openalex.org/W2057603175","https://openalex.org/W2070712157","https://openalex.org/W2101336703","https://openalex.org/W2115737236","https://openalex.org/W2119499160","https://openalex.org/W2138479857","https://openalex.org/W2174473997","https://openalex.org/W2340053514","https://openalex.org/W2524857034","https://openalex.org/W2605215440","https://openalex.org/W2962898451","https://openalex.org/W2963240529","https://openalex.org/W2963270586","https://openalex.org/W2964325628","https://openalex.org/W4248763740"],"related_works":["https://openalex.org/W3105791087","https://openalex.org/W2160014892","https://openalex.org/W2613371496","https://openalex.org/W2092508882","https://openalex.org/W2039241036","https://openalex.org/W2792142352","https://openalex.org/W2367724253","https://openalex.org/W2002036232","https://openalex.org/W3048212164","https://openalex.org/W2805266446","https://openalex.org/W2112297560","https://openalex.org/W3105807821","https://openalex.org/W2184528041","https://openalex.org/W2792703392","https://openalex.org/W2165149777","https://openalex.org/W2047020385","https://openalex.org/W2071544995","https://openalex.org/W107236148","https://openalex.org/W2109946292","https://openalex.org/W3105131910"],"abstract_inverted_index":{"We":[0,96,136],"consider":[1],"the":[2,8,49,52,65,82,85,88,103,108,113,118,139,145],"dynamical":[3,74,146],"superresolution":[4,147],"problem":[5,148],"consisting":[6],"in":[7,112,149],"recovery":[9,104],"of":[10,14,51,81,87,102,115,141],"positions":[11,50,83],"and":[12,84,111,125,156],"velocities":[13,86,159],"moving":[15],"particles":[16,53],"from":[17],"low-frequency":[18],"static":[19,42],"measurements":[20],"taken":[21],"over":[22,133],"multiple":[23],"time":[24,39],"steps.":[25],"The":[26],"standard":[27],"approach":[28,143],"to":[29,47,63,144],"this":[30,68,142],"issue":[31],"is":[32,45,61],"a":[33,72,78,98],"two-step":[34],"process:":[35],"first,":[36],"at":[37],"each":[38],"step":[40],"some":[41,58,131],"reconstruction":[43],"method":[44,75],"applied":[46,62],"locate":[48],"with":[54,94,162],"superresolution,":[55],"and,":[56],"second,":[57],"tracking":[59],"technique":[60],"obtain":[64],"velocities.":[66],"In":[67],"paper":[69],"we":[70],"propose":[71],"fully":[73],"based":[76],"on":[77],"phase-space":[79],"lifting":[80],"particles,":[89],"which":[90,129],"are":[91,160],"simultaneously":[92],"reconstructed":[93],"superresolution.":[95,163],"provide":[97],"rigorous":[99],"mathematical":[100],"analysis":[101],"problem,":[105],"both":[106],"for":[107],"noiseless":[109],"case":[110],"presence":[114],"noise":[116],"(in":[117],"discrete":[119],"setting).":[120],"Several":[121],"numerical":[122],"simulations":[123],"illustrate":[124],"validate":[126],"our":[127],"method,":[128],"shows":[130],"advantage":[132],"existing":[134],"techniques.":[135],"then":[137],"discuss":[138],"application":[140],"ultrafast":[150],"ultrasound":[151],"imaging:":[152],"blood":[153,157],"vessels'":[154],"locations":[155],"flow":[158],"recovered":[161]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
