{"id":"https://openalex.org/W3212944296","doi":"https://doi.org/10.1080/21681163.2021.1994471","title":"A feature-based affine registration method for capturing background lung tissue deformation for ground glass nodule tracking","display_name":"A feature-based affine registration method for capturing background lung tissue deformation for ground glass nodule tracking","publication_year":2021,"publication_date":"2021-11-08","ids":{"openalex":"https://openalex.org/W3212944296","doi":"https://doi.org/10.1080/21681163.2021.1994471","mag":"3212944296","pmid":"https://pubmed.ncbi.nlm.nih.gov/36465979"},"language":"en","primary_location":{"id":"doi:10.1080/21681163.2021.1994471","is_oa":false,"landing_page_url":"https://doi.org/10.1080/21681163.2021.1994471","pdf_url":null,"source":{"id":"https://openalex.org/S2764763012","display_name":"Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization","issn_l":"2168-1163","issn":["2168-1163","2168-1171"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9718421","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5003961290","display_name":"Yehuda K. Ben-Zikri","orcid":null},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yehuda K. Ben-Zikri","raw_affiliation_strings":["Center for Imaging Science, Rochester Institute of Technology, Rochester, NY, USA"],"affiliations":[{"raw_affiliation_string":"Center for Imaging Science, Rochester Institute of Technology, Rochester, NY, USA","institution_ids":["https://openalex.org/I155173764"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072106428","display_name":"Mar\u00eda Helguera","orcid":"https://orcid.org/0000-0002-5540-7268"},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mar\u00eda Helguera","raw_affiliation_strings":["Center for Imaging Science, Rochester Institute of Technology, Rochester, NY, USA","Instituto Tecnol\u00f3gico Jos\u00e9 Mario Molina Pasquel Y Henr\u00edquez, U nidadLagosde Moreno, Jalisco, Mexico"],"affiliations":[{"raw_affiliation_string":"Center for Imaging Science, Rochester Institute of Technology, Rochester, NY, USA","institution_ids":["https://openalex.org/I155173764"]},{"raw_affiliation_string":"Instituto Tecnol\u00f3gico Jos\u00e9 Mario Molina Pasquel Y Henr\u00edquez, U nidadLagosde Moreno, Jalisco, Mexico","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055503583","display_name":"David T. Fetzer","orcid":"https://orcid.org/0000-0002-2420-082X"},"institutions":[{"id":"https://openalex.org/I4388891891","display_name":"Southwestern Medical Center","ror":"https://ror.org/05d80e146","country_code":null,"type":"healthcare","lineage":["https://openalex.org/I4388891891"]},{"id":"https://openalex.org/I4210096815","display_name":"Southwestern Medical Center","ror":"https://ror.org/00t9vx427","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210096815"]},{"id":"https://openalex.org/I867280407","display_name":"The University of Texas Southwestern Medical Center","ror":"https://ror.org/05byvp690","country_code":"US","type":"education","lineage":["https://openalex.org/I867280407"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David Fetzer","raw_affiliation_strings":["Dept. Of Radiology, UT Southwestern Medical Center, Dallas, TX, USA"],"affiliations":[{"raw_affiliation_string":"Dept. Of Radiology, UT Southwestern Medical Center, Dallas, TX, USA","institution_ids":["https://openalex.org/I867280407","https://openalex.org/I4210096815","https://openalex.org/I4388891891"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065181487","display_name":"David A. Shrier","orcid":null},"institutions":[{"id":"https://openalex.org/I28792581","display_name":"University of Rochester Medical Center","ror":"https://ror.org/00trqv719","country_code":"US","type":"funder","lineage":["https://openalex.org/I28792581","https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David A. Shrier","raw_affiliation_strings":["Dept. Of Radiology, University of Rochester Medical Center, Rochester, Ny, USA"],"affiliations":[{"raw_affiliation_string":"Dept. Of Radiology, University of Rochester Medical Center, Rochester, Ny, USA","institution_ids":["https://openalex.org/I28792581"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001892061","display_name":"Stephen Aylward","orcid":"https://orcid.org/0000-0002-7862-8856"},"institutions":[{"id":"https://openalex.org/I74786994","display_name":"Kitware (United States)","ror":"https://ror.org/02s2acn37","country_code":"US","type":"company","lineage":["https://openalex.org/I74786994"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Stephen. R. Aylward","raw_affiliation_strings":["Division of Medical Computing, Kitware, Inc, Carrboro, NC, USA"],"affiliations":[{"raw_affiliation_string":"Division of Medical Computing, Kitware, Inc, Carrboro, NC, USA","institution_ids":["https://openalex.org/I74786994"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032743708","display_name":"Deepak R. Chittajallu","orcid":"https://orcid.org/0000-0001-7572-5784"},"institutions":[{"id":"https://openalex.org/I74786994","display_name":"Kitware (United States)","ror":"https://ror.org/02s2acn37","country_code":"US","type":"company","lineage":["https://openalex.org/I74786994"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Deepak Chittajallu","raw_affiliation_strings":["Division of Medical Computing, Kitware, Inc, Carrboro, NC, USA"],"affiliations":[{"raw_affiliation_string":"Division of Medical Computing, Kitware, Inc, Carrboro, NC, USA","institution_ids":["https://openalex.org/I74786994"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108610850","display_name":"Marc Niethammer","orcid":null},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Marc Niethammer","raw_affiliation_strings":["Dept. Of Computer Science, University of North Carolina, Chapel Hill, Nc, USA"],"affiliations":[{"raw_affiliation_string":"Dept. Of Computer Science, University of North Carolina, Chapel Hill, Nc, USA","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075373448","display_name":"Nathan D. Cahill","orcid":"https://orcid.org/0000-0002-6164-3291"},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nathan D. Cahill","raw_affiliation_strings":["School of Mathematical Sciences, Rochester Institute of Technology, Rochester, NY, USA"],"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, Rochester Institute of Technology, Rochester, NY, USA","institution_ids":["https://openalex.org/I155173764"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085736904","display_name":"Cristian A. Linte","orcid":"https://orcid.org/0000-0001-7602-7937"},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Cristian A. Linte","raw_affiliation_strings":["Center for Imaging Science, Rochester Institute of Technology, Rochester, NY, USA","Dept. Of Biomedical Engineering, Rochester Institute of Technology, Rochester, Ny, USA"],"affiliations":[{"raw_affiliation_string":"Center for Imaging Science, Rochester Institute of Technology, Rochester, NY, USA","institution_ids":["https://openalex.org/I155173764"]},{"raw_affiliation_string":"Dept. Of Biomedical Engineering, Rochester Institute of Technology, Rochester, Ny, USA","institution_ids":["https://openalex.org/I155173764"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5085736904"],"corresponding_institution_ids":["https://openalex.org/I155173764"],"apc_list":null,"apc_paid":null,"fwci":0.437,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.65909486,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"10","issue":"5","first_page":"521","last_page":"539"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10202","display_name":"Lung Cancer Diagnosis and Treatment","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory 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/T10202","display_name":"Lung Cancer Diagnosis and Treatment","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory 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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.991599977016449,"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/T10862","display_name":"AI in cancer detection","score":0.9883000254631042,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/affine-transformation","display_name":"Affine transformation","score":0.6488929986953735},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.639710545539856},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.6199360489845276},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.5982115864753723},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5740140080451965},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5595880746841431},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5178799629211426},{"id":"https://openalex.org/keywords/ground-glass-opacity","display_name":"Ground-glass opacity","score":0.5154258012771606},{"id":"https://openalex.org/keywords/deformation","display_name":"Deformation (meteorology)","score":0.4877648949623108},{"id":"https://openalex.org/keywords/nodule","display_name":"Nodule (geology)","score":0.4436034858226776},{"id":"https://openalex.org/keywords/feature-tracking","display_name":"Feature tracking","score":0.4269666373729706},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.353374183177948},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.33372244238853455},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.3280203342437744},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2480648159980774},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.23233193159103394},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.1357027292251587},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.09769824147224426}],"concepts":[{"id":"https://openalex.org/C92757383","wikidata":"https://www.wikidata.org/wiki/Q382497","display_name":"Affine transformation","level":2,"score":0.6488929986953735},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.639710545539856},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6199360489845276},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.5982115864753723},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5740140080451965},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5595880746841431},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5178799629211426},{"id":"https://openalex.org/C2777001051","wikidata":"https://www.wikidata.org/wiki/Q3150728","display_name":"Ground-glass opacity","level":4,"score":0.5154258012771606},{"id":"https://openalex.org/C204366326","wikidata":"https://www.wikidata.org/wiki/Q3027650","display_name":"Deformation (meteorology)","level":2,"score":0.4877648949623108},{"id":"https://openalex.org/C2776731575","wikidata":"https://www.wikidata.org/wiki/Q2916245","display_name":"Nodule (geology)","level":2,"score":0.4436034858226776},{"id":"https://openalex.org/C2987395694","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Feature tracking","level":3,"score":0.4269666373729706},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.353374183177948},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.33372244238853455},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3280203342437744},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2480648159980774},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.23233193159103394},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.1357027292251587},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.09769824147224426},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C2781182431","wikidata":"https://www.wikidata.org/wiki/Q356033","display_name":"Adenocarcinoma","level":3,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1080/21681163.2021.1994471","is_oa":false,"landing_page_url":"https://doi.org/10.1080/21681163.2021.1994471","pdf_url":null,"source":{"id":"https://openalex.org/S2764763012","display_name":"Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization","issn_l":"2168-1163","issn":["2168-1163","2168-1171"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization","raw_type":"journal-article"},{"id":"pmid:36465979","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36465979","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":"Computer methods in biomechanics and biomedical engineering. Imaging & visualization","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:9718421","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9718421","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Comput Methods Biomech Biomed Eng Imaging Vis","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:9718421","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9718421","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Comput Methods Biomech Biomed Eng Imaging Vis","raw_type":"Text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8768322410","display_name":null,"funder_award_id":"R35GM128877","funder_id":"https://openalex.org/F4320337354","funder_display_name":"National Institute of General Medical Sciences"}],"funders":[{"id":"https://openalex.org/F4320337354","display_name":"National Institute of General Medical Sciences","ror":"https://ror.org/04q48ey07"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W189535694","https://openalex.org/W291003596","https://openalex.org/W1562725088","https://openalex.org/W1564156715","https://openalex.org/W1569680082","https://openalex.org/W1974995527","https://openalex.org/W1979550282","https://openalex.org/W1982702717","https://openalex.org/W1991804665","https://openalex.org/W1994659972","https://openalex.org/W2003340824","https://openalex.org/W2031827337","https://openalex.org/W2033174637","https://openalex.org/W2034215065","https://openalex.org/W2035107885","https://openalex.org/W2039400714","https://openalex.org/W2077008573","https://openalex.org/W2080324795","https://openalex.org/W2102634410","https://openalex.org/W2113576511","https://openalex.org/W2116773294","https://openalex.org/W2123006351","https://openalex.org/W2126393454","https://openalex.org/W2130018600","https://openalex.org/W2132594226","https://openalex.org/W2134560790","https://openalex.org/W2136885990","https://openalex.org/W2138626541","https://openalex.org/W2145138920","https://openalex.org/W2148076415","https://openalex.org/W2155298532","https://openalex.org/W2158287605","https://openalex.org/W2170701495","https://openalex.org/W2914320392","https://openalex.org/W4252338603","https://openalex.org/W4372046852"],"related_works":["https://openalex.org/W2753378025","https://openalex.org/W2171504471","https://openalex.org/W1967071448","https://openalex.org/W2089006188","https://openalex.org/W2149184509","https://openalex.org/W138041562","https://openalex.org/W2037927346","https://openalex.org/W4312759412","https://openalex.org/W2072935955","https://openalex.org/W2125666930"],"abstract_inverted_index":{"Lung":[0],"nodule":[1,26,60,74,289,346],"tracking":[2],"assessment":[3],"relies":[4],"on":[5,46,110],"cross-sectional":[6],"measurements":[7,32],"of":[8,40,108,204,245,254,301],"the":[9,38,41,47,50,68,139,153,162,173,205,219,229,240,252,259,269,277,286,295,302,313,322,328],"largest":[10],"lesion":[11],"profile":[12],"depicted":[13],"in":[14,25,160,283],"initial":[15,51,163,271,329],"and":[16,52,71,84,95,104,121,155,164,199,250,272,305,330,333],"follow-up":[17,53,165,273,331],"computed":[18,144],"tomography":[19],"(CT)":[20],"images.":[21,168],"However,":[22],"apparent":[23],"changes":[24,61,347],"size":[27],"assessed":[28,294],"via":[29],"simple":[30],"image-based":[31],"may":[33,263],"also":[34,293,334],"be":[35],"compromised":[36],"by":[37,157,258,298],"effect":[39],"background":[42,278,323],"lung":[43,69,279,324,345],"tissue":[44,280,325],"deformation":[45,70,326],"GGN":[48],"between":[49,268,327],"images,":[54,274,304],"leading":[55],"to":[56,63,138,265,343,349],"erroneous":[57],"conclusions":[58],"about":[59],"due":[62,348],"disease.":[64,350],"To":[65],"compensate":[66],"for":[67,242,276,321],"enable":[72],"consistent":[73],"tracking,":[75],"here":[76],"we":[77],"propose":[78],"a":[79,102,105,180,187,193,200,212,223,307,337],"feature-based":[80,175,230,315],"affine":[81,176,231,317],"registration":[82,91,98,135,141,178,191,203,221,226,296,318,340],"method":[83,99,136,341],"study":[85,310],"its":[86],"performance":[87],"vis-a-vis":[88],"several":[89],"other":[90],"methods.":[92],"We":[93,132,292],"implement":[94],"test":[96],"each":[97,134],"using":[100],"both":[101,119,161],"lung-":[103],"lesion-centered":[106,177,316],"region":[107],"interest":[109],"ten":[111],"patient":[112,166],"CT":[113,167],"datasets":[114],"featuring":[115,247],"twelve":[116],"nodules,":[117],"including":[118],"benign":[120],"malignant":[122],"GGO":[123],"lesions":[124,154],"containing":[125],"pure":[126],"GGNs,":[127],"part-solid,":[128],"or":[129],"solid":[130],"nodules.":[131],"evaluate":[133],"according":[137],"target":[140],"error":[142],"(TRE)":[143],"across":[145],"30":[146],"-":[147],"50":[148],"homologous":[149],"fiducial":[150,208],"landmarks":[151],"surrounding":[152],"selected":[156],"expert":[158],"radiologists":[159],"Our":[169],"results":[170],"show":[171],"that":[172,311],"proposed":[174,314],"yielded":[179,192,211,222],"1.1":[181],"\u00b1":[182,195,214],"1.2":[183,194,196,215],"mm":[184,197,216],"TRE,":[185,198],"while":[186],"Symmetric":[188],"Normalization":[189],"deformable":[190,220,260],"least-square":[201],"fit":[202],"30-50":[206],"validation":[207],"landmark":[209],"set":[210],"1.5":[213],"TRE.":[217],"Although":[218],"slightly":[224],"higher":[225],"accuracy":[227],"than":[228],"registration,":[232,261],"it":[233],"is":[234],"significantly":[235],"more":[236],"computationally":[237],"efficient,":[238],"eliminates":[239],"need":[241],"ambiguous":[243],"segmentation":[244],"GGNs":[246],"ill-defined":[248],"borders,":[249],"reduces":[251],"susceptibility":[253],"artificial":[255],"deformations":[256],"introduced":[257],"which":[262],"lead":[264],"increased":[266],"similarity":[267],"registered":[270],"over-compensating":[275],"deformation,":[281],"and,":[282],"turn,":[284],"compromising":[285],"true":[287],"disease-induced":[288],"change":[290],"assessment.":[291],"qualitatively,":[297],"visual":[299],"inspection":[300],"subtraction":[303],"conducted":[306],"pilot":[308],"pre-clinical":[309],"showed":[312],"effectively":[319],"compensates":[320],"images":[332],"serves":[335],"as":[336],"reliable":[338],"baseline":[339],"prior":[342],"assessing":[344]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}