{"id":"https://openalex.org/W4389250041","doi":"https://doi.org/10.1109/bsn58485.2023.10331420","title":"Self-Supervised Learning for Ultrasound Probe Angle Prediction in Plantar Fascia Images","display_name":"Self-Supervised Learning for Ultrasound Probe Angle Prediction in Plantar Fascia Images","publication_year":2023,"publication_date":"2023-10-09","ids":{"openalex":"https://openalex.org/W4389250041","doi":"https://doi.org/10.1109/bsn58485.2023.10331420"},"language":"en","primary_location":{"id":"doi:10.1109/bsn58485.2023.10331420","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bsn58485.2023.10331420","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 19th International Conference on Body Sensor Networks (BSN)","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/A5090817348","display_name":"Benjamin W. Roop","orcid":null},"institutions":[{"id":"https://openalex.org/I4210122954","display_name":"MIT Lincoln Laboratory","ror":"https://ror.org/022z6jk58","country_code":"US","type":"facility","lineage":["https://openalex.org/I4210122954","https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Benjamin W. Roop","raw_affiliation_strings":["MIT Lincoln Laboratory,Lexington,MA,USA","MIT Lincoln Laboratory, Lexington, MA, USA"],"affiliations":[{"raw_affiliation_string":"MIT Lincoln Laboratory,Lexington,MA,USA","institution_ids":["https://openalex.org/I4210122954"]},{"raw_affiliation_string":"MIT Lincoln Laboratory, Lexington, MA, USA","institution_ids":["https://openalex.org/I4210122954"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111908794","display_name":"Kevin Brady","orcid":null},"institutions":[{"id":"https://openalex.org/I4210122954","display_name":"MIT Lincoln Laboratory","ror":"https://ror.org/022z6jk58","country_code":"US","type":"facility","lineage":["https://openalex.org/I4210122954","https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kevin J. Brady","raw_affiliation_strings":["MIT Lincoln Laboratory,Lexington,MA,USA","MIT Lincoln Laboratory, Lexington, MA, USA"],"affiliations":[{"raw_affiliation_string":"MIT Lincoln Laboratory,Lexington,MA,USA","institution_ids":["https://openalex.org/I4210122954"]},{"raw_affiliation_string":"MIT Lincoln Laboratory, Lexington, MA, USA","institution_ids":["https://openalex.org/I4210122954"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008693878","display_name":"Lars Gjesteby","orcid":"https://orcid.org/0000-0002-5021-7705"},"institutions":[{"id":"https://openalex.org/I4210122954","display_name":"MIT Lincoln Laboratory","ror":"https://ror.org/022z6jk58","country_code":"US","type":"facility","lineage":["https://openalex.org/I4210122954","https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lars A. Gjesteby","raw_affiliation_strings":["MIT Lincoln Laboratory,Lexington,MA,USA","MIT Lincoln Laboratory, Lexington, MA, USA"],"affiliations":[{"raw_affiliation_string":"MIT Lincoln Laboratory,Lexington,MA,USA","institution_ids":["https://openalex.org/I4210122954"]},{"raw_affiliation_string":"MIT Lincoln Laboratory, Lexington, MA, USA","institution_ids":["https://openalex.org/I4210122954"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083044527","display_name":"Brian S. Baum","orcid":"https://orcid.org/0000-0003-0692-1962"},"institutions":[{"id":"https://openalex.org/I4210122954","display_name":"MIT Lincoln Laboratory","ror":"https://ror.org/022z6jk58","country_code":"US","type":"facility","lineage":["https://openalex.org/I4210122954","https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Brian S. Baum","raw_affiliation_strings":["MIT Lincoln Laboratory,Lexington,MA,USA","MIT Lincoln Laboratory, Lexington, MA, USA"],"affiliations":[{"raw_affiliation_string":"MIT Lincoln Laboratory,Lexington,MA,USA","institution_ids":["https://openalex.org/I4210122954"]},{"raw_affiliation_string":"MIT Lincoln Laboratory, Lexington, MA, USA","institution_ids":["https://openalex.org/I4210122954"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026644166","display_name":"Laura J. Brattain","orcid":null},"institutions":[{"id":"https://openalex.org/I4210122954","display_name":"MIT Lincoln Laboratory","ror":"https://ror.org/022z6jk58","country_code":"US","type":"facility","lineage":["https://openalex.org/I4210122954","https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Laura J. Brattain","raw_affiliation_strings":["MIT Lincoln Laboratory,Lexington,MA,USA","MIT Lincoln Laboratory, Lexington, MA, USA"],"affiliations":[{"raw_affiliation_string":"MIT Lincoln Laboratory,Lexington,MA,USA","institution_ids":["https://openalex.org/I4210122954"]},{"raw_affiliation_string":"MIT Lincoln Laboratory, Lexington, MA, USA","institution_ids":["https://openalex.org/I4210122954"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5090817348"],"corresponding_institution_ids":["https://openalex.org/I4210122954"],"apc_list":null,"apc_paid":null,"fwci":0.2468,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.55069911,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11068","display_name":"Tendon Structure and Treatment","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2732","display_name":"Orthopedics and Sports Medicine"},"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/T11068","display_name":"Tendon Structure and Treatment","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2732","display_name":"Orthopedics and Sports Medicine"},"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/T11018","display_name":"Lower Extremity Biomechanics and Pathologies","score":0.9909999966621399,"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/T10280","display_name":"Shoulder Injury and Treatment","score":0.9886999726295471,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6582907438278198},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.632159948348999},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5660646557807922},{"id":"https://openalex.org/keywords/rotation","display_name":"Rotation (mathematics)","score":0.5345885753631592},{"id":"https://openalex.org/keywords/perpendicular","display_name":"Perpendicular","score":0.4701431095600128},{"id":"https://openalex.org/keywords/viewing-angle","display_name":"Viewing angle","score":0.448824942111969},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22258248925209045},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.1078532338142395}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6582907438278198},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.632159948348999},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5660646557807922},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.5345885753631592},{"id":"https://openalex.org/C199631012","wikidata":"https://www.wikidata.org/wiki/Q205034","display_name":"Perpendicular","level":2,"score":0.4701431095600128},{"id":"https://openalex.org/C2776694159","wikidata":"https://www.wikidata.org/wiki/Q351676","display_name":"Viewing angle","level":3,"score":0.448824942111969},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22258248925209045},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.1078532338142395},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C128019096","wikidata":"https://www.wikidata.org/wiki/Q83341","display_name":"Liquid-crystal display","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bsn58485.2023.10331420","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bsn58485.2023.10331420","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 19th International Conference on Body Sensor Networks (BSN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1972020015","https://openalex.org/W2194775991","https://openalex.org/W2413733076","https://openalex.org/W2785325870","https://openalex.org/W2883672905","https://openalex.org/W2953327099","https://openalex.org/W2982446957","https://openalex.org/W2995161436","https://openalex.org/W3006293443","https://openalex.org/W3015395031","https://openalex.org/W3017378335","https://openalex.org/W3092003221","https://openalex.org/W3094046334","https://openalex.org/W3096210965","https://openalex.org/W3097526063","https://openalex.org/W3106525532","https://openalex.org/W3125472763","https://openalex.org/W3128716822","https://openalex.org/W3131511400","https://openalex.org/W3132346797","https://openalex.org/W3135831372","https://openalex.org/W3153351689","https://openalex.org/W3183080902","https://openalex.org/W3190440516","https://openalex.org/W3200967367","https://openalex.org/W3205841225","https://openalex.org/W4200214130","https://openalex.org/W4288068240","https://openalex.org/W4320723699"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"This":[0,37,242],"paper":[1],"presents":[2],"a":[3,58,121,159,178,239],"self-supervised":[4],"learning":[5],"(SSL)":[6],"approach":[7,224,243],"for":[8,31,35,86,131,138,244,266],"estimating":[9,245],"the":[10,44,50,68,90,99,116,183,198,203,212,222,252],"angular":[11,235,246],"offset":[12,247],"of":[13,70,148,153,175,192,207,218],"freehand":[14],"ultrasound":[15],"(US)":[16],"probe":[17,27,63,91,122,230],"movement":[18],"relative":[19,204,237],"to":[20,43,56,60,94,119,170,233,238,254,257,262],"an":[21,61,78,128,163,189,263],"ideal":[22],"viewing":[23],"angle.":[24],"Proper":[25],"US":[26,88,151,213,268],"angle":[28,64,82,123,174,187,231],"is":[29,83,136,221],"essential":[30],"acquiring":[32,267],"high-quality":[33],"images":[34,152,208],"diagnostics.":[36],"can":[38,65],"be":[39,95,255],"challenging,":[40],"however,":[41],"due":[42],"high":[45],"variability":[46],"in":[47,52,74],"anatomy":[48,101],"and":[49,162,197,229],"subjectivity":[51],"interpretation.":[53],"The":[54,215],"ability":[55],"guide":[57],"user":[59],"optimal":[62,264],"greatly":[66],"improve":[67],"quality":[69],"image":[71,228],"acquired":[72,209],"which":[73,135],"turn":[75],"will":[76],"facilitate":[77],"accurate":[79],"assessment.":[80],"Probe":[81],"particularly":[84],"important":[85],"musculoskeletal":[87],"since":[89],"often":[92],"needs":[93],"perpendicularly":[96],"aligned":[97],"with":[98,188],"target":[100],"(e.g.,":[102],"bone,":[103],"tendon,":[104],"or":[105],"ligament).":[106],"In":[107,142,177],"this":[108,143,172,219],"paper,":[109],"we":[110],"used":[111,137],"plantar":[112,140],"fascia":[113],"(PF)":[114],"as":[115],"use":[117],"case":[118],"develop":[120],"guidance":[124],"pipeline.":[125],"It":[126],"has":[127,251],"immediate":[129],"application":[130],"PF":[132,154],"thickness":[133],"measurement,":[134],"assessing":[139],"fasciitis.":[141],"SSL":[144,223],"pipeline,":[145],"circularized":[146],"versions":[147],"over":[149],"3,600":[150],"were":[155],"each":[156],"rotated":[157],"by":[158],"varied":[160],"amount,":[161],"encoder-support":[164],"vector":[165],"machine":[166],"pair":[167],"was":[168],"trained":[169],"predict":[171],"known":[173],"rotation.":[176],"cross-validation":[179],"from":[180],"13":[181],"subjects,":[182],"model":[184,200],"predicted":[185,202],"rotation":[186,205],"average":[190],"error":[191],"2.98":[193],"degrees":[194],"(SD:":[195],"2.62),":[196],"SSL-trained":[199],"accurately":[201],"angles":[206],"while":[210],"rotating":[211],"probe.":[214],"key":[216],"contribution":[217],"work":[220,259],"on":[225],"synthetically":[226],"generated":[227],"pairs":[232],"emulate":[234],"motion":[236],"standard":[240],"view.":[241],"without":[248],"labelled":[249],"data":[250],"potential":[253],"applied":[256],"future":[258],"guiding":[260],"users":[261],"view":[265],"images.":[269]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}