{"id":"https://openalex.org/W7161016043","doi":"https://doi.org/10.48550/arxiv.2605.12140","title":"EchoTracker2: Enhancing Myocardial Point Tracking by Modeling Local Motion","display_name":"EchoTracker2: Enhancing Myocardial Point Tracking by Modeling Local Motion","publication_year":2026,"publication_date":"2026-05-12","ids":{"openalex":"https://openalex.org/W7161016043","doi":"https://doi.org/10.48550/arxiv.2605.12140"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.12140","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.12140","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.12140","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101464845","display_name":"Md Abulkalam Azad","orcid":"https://orcid.org/0009-0006-7177-4961"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Azad, Md Abulkalam","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050527778","display_name":"V Holmstrom","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Holmstr\u00f8m, Vegard","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124366479","display_name":"J Nyberg","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nyberg, John","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048844030","display_name":"Lasse L\u00f8vstakken","orcid":"https://orcid.org/0000-0003-2474-9588"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lovstakken, Lasse","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035138514","display_name":"H\u00e5vard Dalen","orcid":"https://orcid.org/0000-0003-1192-3663"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dalen, H\u00e5vard","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136026832","display_name":"Bj\u00f8rnar Grenne","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Grenne, Bj\u00f8rnar","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5034424258","display_name":"Andreas \u00d8stvik","orcid":"https://orcid.org/0000-0003-3895-2683"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"\u00d8stvik, Andreas","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10868","display_name":"Soft Robotics and Applications","score":0.39640000462532043,"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/T10868","display_name":"Soft Robotics and Applications","score":0.39640000462532043,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.06679999828338623,"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/T10821","display_name":"Cardiovascular Function and Risk Factors","score":0.046799998730421066,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"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/trajectory","display_name":"Trajectory","score":0.6654000282287598},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.6531999707221985},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.6358000040054321},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6349999904632568},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5770999789237976},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.5271000266075134},{"id":"https://openalex.org/keywords/match-moving","display_name":"Match moving","score":0.4749000072479248},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.46219998598098755},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.44029998779296875}],"concepts":[{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.6654000282287598},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6581000089645386},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.6531999707221985},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6358000040054321},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6349999904632568},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5889000296592712},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5830000042915344},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5770999789237976},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.5271000266075134},{"id":"https://openalex.org/C95020103","wikidata":"https://www.wikidata.org/wiki/Q1813492","display_name":"Match moving","level":3,"score":0.4749000072479248},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.46219998598098755},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.44029998779296875},{"id":"https://openalex.org/C2987395694","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Feature tracking","level":3,"score":0.41749998927116394},{"id":"https://openalex.org/C154586513","wikidata":"https://www.wikidata.org/wiki/Q4420972","display_name":"Tracking system","level":3,"score":0.35910001397132874},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.31690001487731934},{"id":"https://openalex.org/C174440990","wikidata":"https://www.wikidata.org/wiki/Q681349","display_name":"Point-to-point","level":2,"score":0.31470000743865967},{"id":"https://openalex.org/C146159030","wikidata":"https://www.wikidata.org/wiki/Q7625099","display_name":"Structure from motion","level":3,"score":0.31150001287460327},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.28459998965263367},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.2840999960899353},{"id":"https://openalex.org/C124774092","wikidata":"https://www.wikidata.org/wiki/Q6917782","display_name":"Motion field","level":3,"score":0.2782999873161316},{"id":"https://openalex.org/C88871306","wikidata":"https://www.wikidata.org/wiki/Q7208287","display_name":"Point process","level":2,"score":0.2700999975204468},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.266400009393692},{"id":"https://openalex.org/C145912823","wikidata":"https://www.wikidata.org/wiki/Q113558","display_name":"Dynamics (music)","level":2,"score":0.2612999975681305},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2605000138282776},{"id":"https://openalex.org/C2780624872","wikidata":"https://www.wikidata.org/wiki/Q852453","display_name":"Motion detection","level":3,"score":0.2526000142097473},{"id":"https://openalex.org/C150140777","wikidata":"https://www.wikidata.org/wiki/Q960648","display_name":"Point of interest","level":2,"score":0.2506999969482422}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.12140","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.12140","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.12140","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.12140","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Myocardial":[0],"point":[1,21,157],"tracking":[2,22,158],"(MPT)":[3],"has":[4],"recently":[5],"emerged":[6],"as":[7,35],"a":[8,96,147],"promising":[9],"direction":[10],"for":[11,72,116],"motion":[12,26,30,53],"estimation":[13],"in":[14,19,32,79,88],"echocardiography,":[15],"driven":[16],"by":[17,64,136,143],"advances":[18],"general-purpose":[20,156],"methods.":[23],"However,":[24],"myocardial":[25],"fundamentally":[27],"differs":[28],"from":[29,38],"encountered":[31],"natural":[33],"videos,":[34],"it":[36],"arises":[37],"physiologically":[39],"constrained":[40],"deformation":[41],"that":[42,76,130],"is":[43],"spatially":[44],"and":[45,74,108,125,138,164,178],"temporally":[46],"continuous":[47],"throughout":[48],"the":[49,69,154,160],"cardiac":[50],"cycle.":[51],"Consequently,":[52],"trajectories":[54],"typically":[55],"remain":[56],"locally":[57],"confined":[58],"despite":[59],"substantial":[60],"tissue":[61],"deformation.":[62],"Motivated":[63],"these":[65],"properties,":[66],"we":[67,94],"revisit":[68],"architectural":[70],"design":[71],"MPT":[73],"find":[75],"coarse":[77],"initialization":[78],"commonly":[80],"used":[81],"two-stage":[82],"coarse-to-fine":[83],"architectures":[84],"may":[85],"be":[86,185],"unnecessary":[87],"this":[89,92],"domain.":[90],"In":[91],"work,":[93],"propose":[95],"fine-stage-only":[97],"architecture,":[98],"\\textbf{EchoTracker2},":[99],"which":[100],"enriches":[101],"pixel-precise":[102],"features":[103],"with":[104,111,172],"local":[105],"spatiotemporal":[106],"context":[107],"integrates":[109],"them":[110],"long-range":[112],"joint":[113],"temporal":[114],"reasoning":[115],"robust":[117],"tracking.":[118],"Experimental":[119],"results":[120],"across":[121],"in-distribution,":[122],"out-of-distribution":[123],"(OOD),":[124],"public":[126],"synthetic":[127],"datasets":[128],"show":[129],"our":[131],"model":[132],"improves":[133],"position":[134],"accuracy":[135],"$6.5\\%$":[137],"reduces":[139],"median":[140],"trajectory":[141],"error":[142],"$12.2\\%$":[144],"relative":[145],"to":[146,153],"domain-specific":[148],"state-of-the-art":[149],"(SOTA)":[150],"model.":[151],"Compared":[152],"best":[155],"method,":[159],"improvements":[161],"are":[162],"$2.0\\%$":[163],"$5.3\\%$,":[165],"respectively.":[166],"Moreover,":[167],"EchoTracker2":[168],"shows":[169],"better":[170],"agreement":[171],"expert-derived":[173],"global":[174],"longitudinal":[175],"strain":[176],"(GLS)":[177],"enhances":[179],"test-rest":[180],"reproducibility.":[181],"Source":[182],"code":[183],"will":[184],"available":[186],"at:":[187],"https://github.com/riponazad/ptecho.":[188]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-14T00:00:00"}
