{"id":"https://openalex.org/W2963191651","doi":"https://doi.org/10.1109/jbhi.2018.2836380","title":"Nonrigid Image Registration Using Spatially Region-Weighted Correlation Ratio and GPU-Acceleration","display_name":"Nonrigid Image Registration Using Spatially Region-Weighted Correlation Ratio and GPU-Acceleration","publication_year":2018,"publication_date":"2018-05-15","ids":{"openalex":"https://openalex.org/W2963191651","doi":"https://doi.org/10.1109/jbhi.2018.2836380","mag":"2963191651","pmid":"https://pubmed.ncbi.nlm.nih.gov/29994777"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2018.2836380","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2018.2836380","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"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 Journal of Biomedical and Health Informatics","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/A5068790322","display_name":"Lun Gong","orcid":"https://orcid.org/0000-0002-4538-5376"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210092817","display_name":"Suzhou Institute of Biomedical Engineering and Technology","ror":"https://ror.org/00f58mx93","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210092817"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lun Gong","raw_affiliation_strings":["Department of Medical Imaging, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-4538-5376","affiliations":[{"raw_affiliation_string":"Department of Medical Imaging, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210092817"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100439639","display_name":"Cheng Zhang","orcid":"https://orcid.org/0000-0002-4134-2854"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210092817","display_name":"Suzhou Institute of Biomedical Engineering and Technology","ror":"https://ror.org/00f58mx93","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210092817"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Zhang","raw_affiliation_strings":["Department of Medical Imaging, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Medical Imaging, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210092817"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042023794","display_name":"Luwen Duan","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210092817","display_name":"Suzhou Institute of Biomedical Engineering and Technology","ror":"https://ror.org/00f58mx93","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210092817"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luwen Duan","raw_affiliation_strings":["Department of Medical Imaging, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Medical Imaging, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210092817"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060885589","display_name":"Xueying Du","orcid":"https://orcid.org/0009-0005-0004-9183"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210092817","display_name":"Suzhou Institute of Biomedical Engineering and Technology","ror":"https://ror.org/00f58mx93","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210092817"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueying Du","raw_affiliation_strings":["Department of Medical Imaging, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Medical Imaging, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210092817"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107844730","display_name":"Hanqiu Liu","orcid":"https://orcid.org/0009-0000-1562-2310"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]},{"id":"https://openalex.org/I4210159575","display_name":"Huashan Hospital","ror":"https://ror.org/05201qm87","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210159575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanqiu Liu","raw_affiliation_strings":["Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067","https://openalex.org/I4210159575"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xinjian Chen","orcid":"https://orcid.org/0000-0001-9627-6009"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinjian Chen","raw_affiliation_strings":["School of Electronics and Information Engineering, Soochow University, Suzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-9627-6009","affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027702007","display_name":"Jian Zheng","orcid":"https://orcid.org/0000-0003-4257-331X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210092817","display_name":"Suzhou Institute of Biomedical Engineering and Technology","ror":"https://ror.org/00f58mx93","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210092817"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Zheng","raw_affiliation_strings":["Department of Medical Imaging, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-4257-331X","affiliations":[{"raw_affiliation_string":"Department of Medical Imaging, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210092817"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3385,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.82829423,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"23","issue":"2","first_page":"766","last_page":"778"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.6101999878883362,"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":0.6101999878883362,"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/T11438","display_name":"Retinal Imaging and Analysis","score":0.14069999754428864,"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":0.0568000003695488,"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":0.6773485541343689},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.6702365875244141},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.6637930274009705},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6051244735717773},{"id":"https://openalex.org/keywords/voxel","display_name":"Voxel","score":0.5588575005531311},{"id":"https://openalex.org/keywords/spatial-correlation","display_name":"Spatial correlation","score":0.4388192594051361},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.41774556040763855},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41259995102882385},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.405271977186203},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.25432485342025757}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6773485541343689},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.6702365875244141},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.6637930274009705},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6051244735717773},{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.5588575005531311},{"id":"https://openalex.org/C150060386","wikidata":"https://www.wikidata.org/wiki/Q7574054","display_name":"Spatial correlation","level":2,"score":0.4388192594051361},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.41774556040763855},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41259995102882385},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.405271977186203},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.25432485342025757},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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":"D003952","descriptor_name":"Diagnostic Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D003952","descriptor_name":"Diagnostic Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D003952","descriptor_name":"Diagnostic Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","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":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008168","descriptor_name":"Lung","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D008168","descriptor_name":"Lung","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D008168","descriptor_name":"Lung","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D012160","descriptor_name":"Retina","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D012160","descriptor_name":"Retina","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D012160","descriptor_name":"Retina","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/jbhi.2018.2836380","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2018.2836380","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"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 Journal of Biomedical and Health Informatics","raw_type":"journal-article"},{"id":"pmid:29994777","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29994777","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 journal of biomedical and health informatics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1754894508","display_name":null,"funder_award_id":"61701492","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3098163596","display_name":null,"funder_award_id":"2014281","funder_id":"https://openalex.org/F4320322847","funder_display_name":"Youth Innovation Promotion Association of the Chinese Academy of Sciences"},{"id":"https://openalex.org/G6603490600","display_name":null,"funder_award_id":"61201117","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322847","display_name":"Youth Innovation Promotion Association of the Chinese Academy of Sciences","ror":"https://ror.org/031141b54"},{"id":"https://openalex.org/F4320326249","display_name":"Huashan Hospital","ror":"https://ror.org/05201qm87"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1738937218","https://openalex.org/W1870947790","https://openalex.org/W1871230255","https://openalex.org/W1970663794","https://openalex.org/W1971196148","https://openalex.org/W1972533359","https://openalex.org/W1980046788","https://openalex.org/W1986040035","https://openalex.org/W1991668702","https://openalex.org/W2004537679","https://openalex.org/W2006034462","https://openalex.org/W2032377318","https://openalex.org/W2034432063","https://openalex.org/W2052617496","https://openalex.org/W2056236664","https://openalex.org/W2072086181","https://openalex.org/W2077008573","https://openalex.org/W2080004498","https://openalex.org/W2083886415","https://openalex.org/W2086600784","https://openalex.org/W2113576511","https://openalex.org/W2115167851","https://openalex.org/W2133287637","https://openalex.org/W2136503713","https://openalex.org/W2140760626","https://openalex.org/W2143667750","https://openalex.org/W2147905083","https://openalex.org/W2156875677","https://openalex.org/W2160952634","https://openalex.org/W2171272565","https://openalex.org/W2199926372","https://openalex.org/W2409726467","https://openalex.org/W2573046029","https://openalex.org/W2588069848","https://openalex.org/W2594602134","https://openalex.org/W2755606682","https://openalex.org/W6637732813","https://openalex.org/W6639282920","https://openalex.org/W6639284656","https://openalex.org/W6683766299","https://openalex.org/W6744925389"],"related_works":["https://openalex.org/W2426195296","https://openalex.org/W1970834875","https://openalex.org/W2367847708","https://openalex.org/W2135643201","https://openalex.org/W2370810807","https://openalex.org/W2368895820","https://openalex.org/W2156531368","https://openalex.org/W2387425358","https://openalex.org/W2542788974","https://openalex.org/W2548524143"],"abstract_inverted_index":{"OBJECTIVE:":[0],"Nonrigid":[1],"image":[2,15],"registration":[3,36,202],"with":[4,54,100],"high":[5],"accuracy":[6],"and":[7,106,126,147,150,169,213],"efficiency":[8],"remains":[9],"a":[10,29,44,80,110,116],"challenging":[11],"task":[12],"for":[13,69,216],"medical":[14],"analysis.":[16],"In":[17],"this":[18],"paper,":[19],"we":[20,114],"present":[21],"the":[22,35,51,62,67,75,88,96,103,122,178,184,210],"spatially":[23,165],"region-weighted":[24],"correlation":[25],"ratio":[26],"(SRWCR)":[27],"as":[28,164],"novel":[30],"similarity":[31],"measure":[32],"to":[33,86,102,120,188,208],"improve":[34],"performance.":[37],"METHODS:":[38],"SRWCR":[39,60,99,125,157,181],"is":[40,84],"rigorously":[41],"deduced":[42],"from":[43],"three-dimension":[45],"joint":[46],"probability":[47],"density":[48],"function":[49,83],"combining":[50],"intensity":[52,190],"channels":[53],"an":[55],"extra":[56],"spatial":[57,71,76],"information":[58,168],"channel.":[59],"estimates":[61],"optimal":[63],"functional":[64],"dependence":[65],"between":[66],"intensities":[68],"each":[70],"bin,":[72],"in":[73,182],"which":[74],"distribution":[77],"modeled":[78],"by":[79],"cubic":[81],"B-spline":[82],"used":[85],"differentiate":[87],"contribution":[89],"of":[90,98,124,180],"voxels.":[91],"We":[92],"also":[93],"analytically":[94],"derive":[95],"gradient":[97],"respect":[101],"transformation":[104],"parameters":[105],"optimize":[107],"it":[108],"using":[109],"quasi-Newton":[111],"approach.":[112],"Furthermore,":[113],"propose":[115],"GPU-based":[117],"parallel":[118],"mechanism":[119],"accelerate":[121],"computation":[123],"its":[127],"derivatives.":[128],"RESULTS:":[129],"The":[130,200],"experiments":[131],"on":[132],"synthetic":[133],"images,":[134],"public":[135],"four-dimensional":[136],"thoracic":[137],"computed":[138],"tomography":[139,145,153],"(CT)":[140],"dataset,":[141],"retinal":[142],"optical":[143],"coherence":[144],"data,":[146],"clinical":[148,217],"CT":[149],"positron":[151],"emission":[152],"images":[154],"confirm":[155],"that":[156],"significantly":[158],"outperforms":[159],"some":[160],"state-of-the-art":[161],"techniques":[162],"such":[163],"encoded":[166],"mutual":[167],"Robust":[170],"PaTch-based":[171],"cOrrelation":[172],"Ration.":[173],"CONCLUSION:":[174],"This":[175],"study":[176],"demonstrates":[177],"advantages":[179],"tackling":[183],"practical":[185],"difficulties":[186],"due":[187],"distinct":[189],"changes,":[191],"serious":[192],"speckle":[193],"noise,":[194],"or":[195],"different":[196],"imaging":[197],"modalities.":[198],"SIGNIFICANCE:":[199],"proposed":[201],"framework":[203],"might":[204],"be":[205],"more":[206,214],"reliable":[207],"correct":[209],"nonrigid":[211],"deformations":[212],"potential":[215],"applications.":[218]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
