{"id":"https://openalex.org/W1984087916","doi":"https://doi.org/10.1117/12.768820","title":"Ultrasound specific similarity measures for three-dimensional mosaicing","display_name":"Ultrasound specific similarity measures for three-dimensional mosaicing","publication_year":2008,"publication_date":"2008-03-06","ids":{"openalex":"https://openalex.org/W1984087916","doi":"https://doi.org/10.1117/12.768820","mag":"1984087916"},"language":"en","primary_location":{"id":"doi:10.1117/12.768820","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.768820","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","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/A5069195910","display_name":"Christian Wachinger","orcid":"https://orcid.org/0000-0002-3652-1874"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Christian Wachinger","raw_affiliation_strings":["Technische Univ. M\u00fcnchen (Germany)","Technische Univ. M\u007funchen (Germany)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technische Univ. M\u00fcnchen (Germany)","institution_ids":[]},{"raw_affiliation_string":"Technische Univ. M\u007funchen (Germany)","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046896448","display_name":"Nassir Navab","orcid":"https://orcid.org/0000-0002-6032-5611"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nassir Navab","raw_affiliation_strings":["Technische Univ. M\u00fcnchen (Germany)","Technische Univ. M\u007funchen (Germany)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technische Univ. M\u00fcnchen (Germany)","institution_ids":[]},{"raw_affiliation_string":"Technische Univ. M\u007funchen (Germany)","institution_ids":[]}]}],"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":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"6914","issue":null,"first_page":"69140F","last_page":"69140F"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10727","display_name":"Ultrasound Imaging and Elastography","score":0.9969000220298767,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7167656421661377},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6885060667991638},{"id":"https://openalex.org/keywords/speckle-noise","display_name":"Speckle noise","score":0.6851137280464172},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5624405741691589},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5264426469802856},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.48745131492614746},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.48182883858680725},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4299126863479614},{"id":"https://openalex.org/keywords/speckle-pattern","display_name":"Speckle pattern","score":0.4115445613861084},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.20191031694412231}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7167656421661377},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6885060667991638},{"id":"https://openalex.org/C180940675","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle noise","level":3,"score":0.6851137280464172},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5624405741691589},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5264426469802856},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.48745131492614746},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.48182883858680725},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4299126863479614},{"id":"https://openalex.org/C102290492","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle pattern","level":2,"score":0.4115445613861084},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.20191031694412231}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1117/12.768820","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.768820","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"},{"id":"pmh:oai:mediatum.ub.tum.de:node/1630982","is_oa":false,"landing_page_url":"https://mediatum.ub.tum.de/1630982","pdf_url":null,"source":{"id":"https://openalex.org/S4306400453","display_name":"mediaTUM \u2013 the media and publications repository of the Technical University Munich (Technical University Munich)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I62916508","host_organization_name":"Technical University of Munich","host_organization_lineage":["https://openalex.org/I62916508"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"ConferencePaper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W30557939","https://openalex.org/W77932201","https://openalex.org/W1591706250","https://openalex.org/W1667165204","https://openalex.org/W1805962778","https://openalex.org/W1964816689","https://openalex.org/W1973504492","https://openalex.org/W1974581420","https://openalex.org/W1984068620","https://openalex.org/W1999662786","https://openalex.org/W2055552397","https://openalex.org/W2103792409","https://openalex.org/W2131467699","https://openalex.org/W2137977724","https://openalex.org/W2140935196","https://openalex.org/W2148895666","https://openalex.org/W2150530698","https://openalex.org/W2165191123","https://openalex.org/W2171157356","https://openalex.org/W2758855375"],"related_works":["https://openalex.org/W2065648684","https://openalex.org/W2009383287","https://openalex.org/W2042914788","https://openalex.org/W2182190754","https://openalex.org/W4321264664","https://openalex.org/W2055824452","https://openalex.org/W2121688719","https://openalex.org/W2727313114","https://openalex.org/W2016481886","https://openalex.org/W4241911733"],"abstract_inverted_index":{"The":[0,18,41,229],"introduction":[1],"of":[2,11,26,44,55,135,152,169,223,231],"2D":[3],"array":[4],"ultrasound":[5,12,71,113,159,192,224],"transducers":[6],"enables":[7,148],"the":[8,15,24,53,58,76,133,142,149,153,170,220,232],"instantaneous":[9],"acquisition":[10],"volumes":[13,32],"in":[14,73,132,178],"clinical":[16],"practice.":[17],"next":[19],"step":[20],"coming":[21],"along":[22],"is":[23,48,84],"combination":[25],"several":[27],"scans":[28],"to":[29,75,158,182,190,214],"create":[30],"compounded":[31],"that":[33,234],"provide":[34],"an":[35,107,167],"extended":[36],"field-of-view,":[37],"so":[38],"called":[39],"mosaics.":[40],"correct":[42],"alignment":[43],"multiple":[45],"images,":[46,114],"which":[47,104,115,147,175],"a":[49,67,85,179,201,238],"complex":[50],"task,":[51],"forms":[52],"basis":[54],"mosaicing.":[56,197],"Especially":[57],"simultaneous":[59,194],"intensity-based":[60],"registration":[61,82,154,195],"has":[62],"many":[63],"properties":[64],"making":[65],"it":[66],"good":[68],"choice":[69],"for":[70,80,102,196],"mosaicing":[72,240],"comparison":[74],"pairwise":[77],"one.":[78],"Fundamental":[79],"each":[81],"approach":[83],"suitable":[86],"similarity":[87,162],"measure.":[88],"So":[89],"far,":[90],"only":[91,243],"standard":[92,207],"measures":[93,199,208],"like":[94],"SSD,":[95],"NNC,":[96],"CR,":[97],"and":[98],"MI":[99],"were":[100,130],"used":[101,166],"mosaicing,":[103],"implicitly":[105],"assume":[106],"additive":[108],"Gaussian":[109],"distributed":[110,128],"noise.":[111],"For":[112],"are":[116,211],"degraded":[117],"by":[118,226],"speckle":[119,227],"patterns,":[120],"alternative":[121],"noise":[122,129],"models":[123,140],"based":[124],"on":[125,237],"multiplicative":[126],"Rayleigh":[127],"proposed":[131],"field":[134],"motion":[136],"estimation.":[137],"Setting":[138],"these":[139],"into":[141],"maximum":[143,171],"likelihood":[144,172],"estimation":[145,173],"framework,":[146,174],"mathematical":[150],"modeling":[151],"process,":[155],"led":[156],"us":[157,189],"specific":[160,193],"bivariate":[161],"measures.":[163,186],"Subsequently,":[164],"we":[165,176,235],"extension":[168],"developed":[177],"previous":[180],"work,":[181],"also":[183],"derive":[184],"multivariate":[185],"They":[187],"allow":[188],"perform":[191],"These":[198],"have":[200],"higher":[202],"potential":[203],"than":[204],"afore":[205],"mentioned":[206],"since":[209],"they":[210],"specifically":[212],"designed":[213],"cope":[215],"with":[216,242],"problems":[217],"arising":[218],"from":[219],"inherent":[221],"contamination":[222],"images":[225,246],"patterns.":[228],"results":[230],"experiments":[233],"conducted":[236],"typical":[239],"scenario":[241],"partly":[244],"overlapping":[245],"confirm":[247],"this":[248],"assumption.":[249]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
