{"id":"https://openalex.org/W2604874397","doi":"https://doi.org/10.1109/tmi.2017.2685522","title":"Estimation of Strain Elastography from Ultrasound Radio-Frequency Data by Utilizing Analytic Gradient of the Similarity Metric","display_name":"Estimation of Strain Elastography from Ultrasound Radio-Frequency Data by Utilizing Analytic Gradient of the Similarity Metric","publication_year":2017,"publication_date":"2017-04-06","ids":{"openalex":"https://openalex.org/W2604874397","doi":"https://doi.org/10.1109/tmi.2017.2685522","mag":"2604874397","pmid":"https://pubmed.ncbi.nlm.nih.gov/28410100"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2017.2685522","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2017.2685522","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5012689271","display_name":"Mona Omidyeganeh","orcid":null},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]},{"id":"https://openalex.org/I161856759","display_name":"Concordia University","ror":"https://ror.org/01qxhf360","country_code":"US","type":"education","lineage":["https://openalex.org/I161856759"]}],"countries":["CA","US"],"is_corresponding":true,"raw_author_name":"M. Omidyeganeh","raw_affiliation_strings":["Perform Centre, Concordia University, Montreal, QC, Canada","Electrical Engineering Department, Concordia University, Montreal, QC, Canada"],"affiliations":[{"raw_affiliation_string":"Perform Centre, Concordia University, Montreal, QC, Canada","institution_ids":["https://openalex.org/I60158472","https://openalex.org/I161856759"]},{"raw_affiliation_string":"Electrical Engineering Department, Concordia University, Montreal, QC, Canada","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046871364","display_name":"Yiming Xiao","orcid":"https://orcid.org/0000-0002-0962-3525"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]},{"id":"https://openalex.org/I161856759","display_name":"Concordia University","ror":"https://ror.org/01qxhf360","country_code":"US","type":"education","lineage":["https://openalex.org/I161856759"]}],"countries":["CA","US"],"is_corresponding":false,"raw_author_name":"Y. Xiao","raw_affiliation_strings":["Perform Centre, Concordia University, Montreal, QC, Canada","Electrical Engineering Department, Concordia University, Montreal, QC, Canada"],"affiliations":[{"raw_affiliation_string":"Perform Centre, Concordia University, Montreal, QC, Canada","institution_ids":["https://openalex.org/I60158472","https://openalex.org/I161856759"]},{"raw_affiliation_string":"Electrical Engineering Department, Concordia University, Montreal, QC, Canada","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068820891","display_name":"M. Omair Ahmad","orcid":"https://orcid.org/0000-0002-2924-6659"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"M. O. Ahmad","raw_affiliation_strings":["Electrical Engineering Department, Concordia University, Montreal, QC, Canada"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, Concordia University, Montreal, QC, Canada","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077743201","display_name":"Hassan Rivaz","orcid":"https://orcid.org/0000-0001-5800-3034"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]},{"id":"https://openalex.org/I161856759","display_name":"Concordia University","ror":"https://ror.org/01qxhf360","country_code":"US","type":"education","lineage":["https://openalex.org/I161856759"]}],"countries":["CA","US"],"is_corresponding":false,"raw_author_name":"H. Rivaz","raw_affiliation_strings":["Perform Centre, Concordia University, Montreal, QC, Canada","Electrical Engineering Department, Concordia University, Montreal, QC, Canada"],"affiliations":[{"raw_affiliation_string":"Perform Centre, Concordia University, Montreal, QC, Canada","institution_ids":["https://openalex.org/I60158472","https://openalex.org/I161856759"]},{"raw_affiliation_string":"Electrical Engineering Department, Concordia University, Montreal, QC, Canada","institution_ids":["https://openalex.org/I60158472"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5012689271"],"corresponding_institution_ids":["https://openalex.org/I161856759","https://openalex.org/I60158472"],"apc_list":null,"apc_paid":null,"fwci":2.0829,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.86217775,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"36","issue":"6","first_page":"1347","last_page":"1358"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10727","display_name":"Ultrasound Imaging and Elastography","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10727","display_name":"Ultrasound Imaging and Elastography","score":0.9998000264167786,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.991100013256073,"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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9905999898910522,"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/metric","display_name":"Metric (unit)","score":0.6241230368614197},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.5891772508621216},{"id":"https://openalex.org/keywords/displacement","display_name":"Displacement (psychology)","score":0.5611072182655334},{"id":"https://openalex.org/keywords/imaging-phantom","display_name":"Imaging phantom","score":0.538390040397644},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5308875441551208},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.5197365283966064},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5189244747161865},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5092662572860718},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.5023179054260254},{"id":"https://openalex.org/keywords/radio-frequency","display_name":"Radio frequency","score":0.4817954897880554},{"id":"https://openalex.org/keywords/speckle-pattern","display_name":"Speckle pattern","score":0.4444679915904999},{"id":"https://openalex.org/keywords/elastography","display_name":"Elastography","score":0.4226517081260681},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.42005911469459534},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41717177629470825},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3621973395347595},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34357377886772156},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3000194728374481},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.19634106755256653},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.17711469531059265},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1658688187599182},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.146182119846344},{"id":"https://openalex.org/keywords/ultrasound","display_name":"Ultrasound","score":0.14609628915786743},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.11731922626495361}],"concepts":[{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6241230368614197},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.5891772508621216},{"id":"https://openalex.org/C107551265","wikidata":"https://www.wikidata.org/wiki/Q1458245","display_name":"Displacement (psychology)","level":2,"score":0.5611072182655334},{"id":"https://openalex.org/C104293457","wikidata":"https://www.wikidata.org/wiki/Q28324852","display_name":"Imaging phantom","level":2,"score":0.538390040397644},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5308875441551208},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.5197365283966064},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5189244747161865},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5092662572860718},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.5023179054260254},{"id":"https://openalex.org/C74064498","wikidata":"https://www.wikidata.org/wiki/Q3396184","display_name":"Radio frequency","level":2,"score":0.4817954897880554},{"id":"https://openalex.org/C102290492","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle pattern","level":2,"score":0.4444679915904999},{"id":"https://openalex.org/C2777690781","wikidata":"https://www.wikidata.org/wiki/Q1324974","display_name":"Elastography","level":3,"score":0.4226517081260681},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.42005911469459534},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41717177629470825},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3621973395347595},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34357377886772156},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3000194728374481},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.19634106755256653},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.17711469531059265},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1658688187599182},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.146182119846344},{"id":"https://openalex.org/C143753070","wikidata":"https://www.wikidata.org/wiki/Q162564","display_name":"Ultrasound","level":2,"score":0.14609628915786743},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.11731922626495361},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011846","descriptor_name":"Radio Waves","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011846","descriptor_name":"Radio Waves","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011846","descriptor_name":"Radio Waves","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014463","descriptor_name":"Ultrasonography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014463","descriptor_name":"Ultrasonography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014463","descriptor_name":"Ultrasonography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019047","descriptor_name":"Phantoms, Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019047","descriptor_name":"Phantoms, Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019047","descriptor_name":"Phantoms, Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D054459","descriptor_name":"Elasticity Imaging Techniques","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D054459","descriptor_name":"Elasticity Imaging Techniques","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D054459","descriptor_name":"Elasticity Imaging Techniques","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/tmi.2017.2685522","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2017.2685522","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},{"id":"pmid:28410100","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28410100","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on medical imaging","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4904793209","display_name":null,"funder_award_id":"RGPIN-2015-04136","funder_id":"https://openalex.org/F4320334593","funder_display_name":"Natural Sciences and Engineering Research Council of Canada"},{"id":"https://openalex.org/G7816169213","display_name":null,"funder_award_id":"RGPIN-06623","funder_id":"https://openalex.org/F4320334593","funder_display_name":"Natural Sciences and Engineering Research Council of Canada"}],"funders":[{"id":"https://openalex.org/F4320310145","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95"},{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W1967053103","https://openalex.org/W1984185210","https://openalex.org/W1984200251","https://openalex.org/W1995107819","https://openalex.org/W2000180049","https://openalex.org/W2009657155","https://openalex.org/W2027622024","https://openalex.org/W2031344281","https://openalex.org/W2032141543","https://openalex.org/W2035379092","https://openalex.org/W2053719362","https://openalex.org/W2055077026","https://openalex.org/W2056663277","https://openalex.org/W2071027495","https://openalex.org/W2075422831","https://openalex.org/W2081359092","https://openalex.org/W2086955332","https://openalex.org/W2089357376","https://openalex.org/W2097399825","https://openalex.org/W2101045015","https://openalex.org/W2102115196","https://openalex.org/W2103876808","https://openalex.org/W2110936368","https://openalex.org/W2121401384","https://openalex.org/W2123536494","https://openalex.org/W2126796349","https://openalex.org/W2126868565","https://openalex.org/W2129336849","https://openalex.org/W2129832582","https://openalex.org/W2131505555","https://openalex.org/W2131986555","https://openalex.org/W2135347862","https://openalex.org/W2136352567","https://openalex.org/W2144598249","https://openalex.org/W2146293780","https://openalex.org/W2148143288","https://openalex.org/W2151032947","https://openalex.org/W2156142095","https://openalex.org/W2161518358","https://openalex.org/W2161902524","https://openalex.org/W2166964210","https://openalex.org/W2181249735","https://openalex.org/W2323336581","https://openalex.org/W2475686826","https://openalex.org/W2548025181","https://openalex.org/W2552533436","https://openalex.org/W4237840526","https://openalex.org/W4293775970","https://openalex.org/W6729627375"],"related_works":["https://openalex.org/W2064591405","https://openalex.org/W2003619663","https://openalex.org/W2143536792","https://openalex.org/W2096200650","https://openalex.org/W2111462246","https://openalex.org/W2064594014","https://openalex.org/W2972356151","https://openalex.org/W4293079908","https://openalex.org/W2122789217","https://openalex.org/W3043972982"],"abstract_inverted_index":{"Most":[0],"strain":[1,56,96,132,153,192],"imaging":[2],"techniques":[3,50],"follow":[4],"a":[5,25,77,121],"pipeline":[6],"strategy:":[7],"in":[8,21,174,186],"the":[9,22,42,61,70,85,89,95,109,112,131,137,146,152,155,163,184,191],"first":[10],"step,":[11,24],"tissue":[12],"displacement":[13,72,86],"is":[14,29,80,117,133,166],"estimated":[15],"from":[16,38],"radio-frequency":[17],"(RF)":[18],"frames,":[19],"and":[20,47,88,114,173],"second":[23],"spatial":[26],"derivative":[27,125],"operation":[28,44],"applied.":[30],"There":[31],"are":[32],"two":[33,105],"main":[34],"issues":[35],"that":[36,82,182],"arise":[37],"this":[39,75],"framework.":[40],"First,":[41],"gradient":[43,156],"amplifies":[45],"noise,":[46],"therefore,":[48],"smoothing":[49],"have":[51],"to":[52,92,119,130,151],"be":[53],"adopted.":[54],"Second,":[55],"estimation":[57],"does":[58],"not":[59],"exploit":[60],"original":[62],"RF":[63,90,187],"data.":[64,177],"It":[65],"rather":[66],"relies":[67],"solely":[68],"on":[69],"noisy":[71],"field.":[73],"In":[74],"paper,":[76],"novel":[78],"technique":[79],"proposed":[81,164],"utilizes":[83],"both":[84],"field":[87],"frames":[91],"accurately":[93],"obtain":[94],"estimates.":[97,193],"The":[98,124,160,178],"normalized":[99],"cross":[100],"correlation":[101],"(NCC)":[102],"metric":[103,148],"between":[104],"corresponding":[106],"windows":[107],"around":[108],"samples":[110],"of":[111,126,145,162],"pre-":[113],"post-compressed":[115],"images":[116],"employed":[118],"generate":[120],"dissimilarity":[122,147],"measurement.":[123],"NCC":[127],"with":[128,149],"respect":[129,150],"analytically":[134],"derived":[135],"using":[136,154],"chain":[138],"rule.":[139],"This":[140],"allows":[141],"an":[142],"efficient":[143],"minimization":[144],"descent":[157],"optimization":[158],"technique.":[159],"effectiveness":[161],"method":[165],"investigated":[167],"through":[168],"simulation":[169],"data,":[170],"phantom":[171],"experiments,":[172],"vivo":[175],"patient":[176],"experimental":[179],"results":[180],"show":[181],"exploiting":[183],"information":[185],"data":[188],"significantly":[189],"improves":[190]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
