{"id":"https://openalex.org/W2082760685","doi":"https://doi.org/10.1109/isbi.2013.6556796","title":"Predicting lung tumor evolution during radiotherapy from PET images using a patient specific model","display_name":"Predicting lung tumor evolution during radiotherapy from PET images using a patient specific model","publication_year":2013,"publication_date":"2013-04-01","ids":{"openalex":"https://openalex.org/W2082760685","doi":"https://doi.org/10.1109/isbi.2013.6556796","mag":"2082760685"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2013.6556796","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2013.6556796","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE 10th International Symposium on Biomedical Imaging","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/A5040166625","display_name":"Hongmei Mi","orcid":"https://orcid.org/0009-0002-5398-4106"},"institutions":[{"id":"https://openalex.org/I4210108118","display_name":"Laboratoire d'Informatique, du Traitement de l'Information et des Syst\u00e8mes","ror":"https://ror.org/01f1vfy95","country_code":"FR","type":"facility","lineage":["https://openalex.org/I141576021","https://openalex.org/I4210105918","https://openalex.org/I4210105918","https://openalex.org/I4210105918","https://openalex.org/I4210108118","https://openalex.org/I62396329","https://openalex.org/I88814501"]},{"id":"https://openalex.org/I62396329","display_name":"Universit\u00e9 de Rouen Normandie","ror":"https://ror.org/03nhjew95","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210105918","https://openalex.org/I62396329"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Hongmei Mi","raw_affiliation_strings":["LITIS EA4108, University of Rouen, Rouen, France","LITIS University of Rouen,Rouen,France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LITIS EA4108, University of Rouen, Rouen, France","institution_ids":["https://openalex.org/I62396329","https://openalex.org/I4210108118"]},{"raw_affiliation_string":"LITIS University of Rouen,Rouen,France","institution_ids":["https://openalex.org/I62396329","https://openalex.org/I4210108118"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010409710","display_name":"Caroline Petitjean","orcid":"https://orcid.org/0000-0003-0013-5370"},"institutions":[{"id":"https://openalex.org/I4210108118","display_name":"Laboratoire d'Informatique, du Traitement de l'Information et des Syst\u00e8mes","ror":"https://ror.org/01f1vfy95","country_code":"FR","type":"facility","lineage":["https://openalex.org/I141576021","https://openalex.org/I4210105918","https://openalex.org/I4210105918","https://openalex.org/I4210105918","https://openalex.org/I4210108118","https://openalex.org/I62396329","https://openalex.org/I88814501"]},{"id":"https://openalex.org/I62396329","display_name":"Universit\u00e9 de Rouen Normandie","ror":"https://ror.org/03nhjew95","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210105918","https://openalex.org/I62396329"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Caroline Petitjean","raw_affiliation_strings":["LITIS EA4108, University of Rouen, Rouen, France","LITIS University of Rouen,Rouen,France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LITIS EA4108, University of Rouen, Rouen, France","institution_ids":["https://openalex.org/I62396329","https://openalex.org/I4210108118"]},{"raw_affiliation_string":"LITIS University of Rouen,Rouen,France","institution_ids":["https://openalex.org/I62396329","https://openalex.org/I4210108118"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037212091","display_name":"Su Ruan","orcid":"https://orcid.org/0000-0001-8785-6917"},"institutions":[{"id":"https://openalex.org/I4210108118","display_name":"Laboratoire d'Informatique, du Traitement de l'Information et des Syst\u00e8mes","ror":"https://ror.org/01f1vfy95","country_code":"FR","type":"facility","lineage":["https://openalex.org/I141576021","https://openalex.org/I4210105918","https://openalex.org/I4210105918","https://openalex.org/I4210105918","https://openalex.org/I4210108118","https://openalex.org/I62396329","https://openalex.org/I88814501"]},{"id":"https://openalex.org/I62396329","display_name":"Universit\u00e9 de Rouen Normandie","ror":"https://ror.org/03nhjew95","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210105918","https://openalex.org/I62396329"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Su Ruan","raw_affiliation_strings":["LITIS EA4108, University of Rouen, Rouen, France","LITIS University of Rouen,Rouen,France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LITIS EA4108, University of Rouen, Rouen, France","institution_ids":["https://openalex.org/I62396329","https://openalex.org/I4210108118"]},{"raw_affiliation_string":"LITIS University of Rouen,Rouen,France","institution_ids":["https://openalex.org/I62396329","https://openalex.org/I4210108118"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111409512","display_name":"Pierre V\u00e9ra","orcid":null},"institutions":[{"id":"https://openalex.org/I4387152093","display_name":"Centre Henri Becquerel","ror":"https://ror.org/00whhby07","country_code":null,"type":"facility","lineage":["https://openalex.org/I4210141925","https://openalex.org/I4387152093"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Pierre Vera","raw_affiliation_strings":["Centre Henri Becquerel, Rouen, France","Centre Henri-Becquerel, Rouen, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre Henri Becquerel, Rouen, France","institution_ids":["https://openalex.org/I4387152093"]},{"raw_affiliation_string":"Centre Henri-Becquerel, Rouen, France","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002386951","display_name":"Bernard Dubray","orcid":"https://orcid.org/0000-0001-9891-2777"},"institutions":[{"id":"https://openalex.org/I4387152093","display_name":"Centre Henri Becquerel","ror":"https://ror.org/00whhby07","country_code":null,"type":"facility","lineage":["https://openalex.org/I4210141925","https://openalex.org/I4387152093"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Bernard Dubray","raw_affiliation_strings":["Centre Henri Becquerel, Rouen, France","Centre Henri-Becquerel, Rouen, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre Henri Becquerel, Rouen, France","institution_ids":["https://openalex.org/I4387152093"]},{"raw_affiliation_string":"Centre Henri-Becquerel, Rouen, France","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1404","last_page":"1407"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10358","display_name":"Advanced Radiotherapy Techniques","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/3108","display_name":"Radiation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10358","display_name":"Advanced Radiotherapy Techniques","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/3108","display_name":"Radiation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11829","display_name":"Mathematical Biology Tumor Growth","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/2611","display_name":"Modeling and Simulation"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.996399998664856,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/gompertz-function","display_name":"Gompertz function","score":0.664767324924469},{"id":"https://openalex.org/keywords/radiation-therapy","display_name":"Radiation therapy","score":0.5313005447387695},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.5275359153747559},{"id":"https://openalex.org/keywords/advection","display_name":"Advection","score":0.513295590877533},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.45239606499671936},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4276256859302521},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.42437657713890076},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.38093301653862},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.25186848640441895},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.2366311252117157},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1950017809867859},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.160414457321167},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1563340723514557},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1524902880191803},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.11522063612937927}],"concepts":[{"id":"https://openalex.org/C134463574","wikidata":"https://www.wikidata.org/wiki/Q1011785","display_name":"Gompertz function","level":2,"score":0.664767324924469},{"id":"https://openalex.org/C509974204","wikidata":"https://www.wikidata.org/wiki/Q180507","display_name":"Radiation therapy","level":2,"score":0.5313005447387695},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.5275359153747559},{"id":"https://openalex.org/C5072599","wikidata":"https://www.wikidata.org/wiki/Q379788","display_name":"Advection","level":2,"score":0.513295590877533},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.45239606499671936},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4276256859302521},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.42437657713890076},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.38093301653862},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25186848640441895},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.2366311252117157},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1950017809867859},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.160414457321167},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1563340723514557},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1524902880191803},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.11522063612937927},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi.2013.6556796","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2013.6556796","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE 10th International Symposium on Biomedical Imaging","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.5699999928474426,"display_name":"Good health and well-being"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1529490909","https://openalex.org/W1567125309","https://openalex.org/W1578285471","https://openalex.org/W1787458679","https://openalex.org/W1805470358","https://openalex.org/W1972015050","https://openalex.org/W2025104440","https://openalex.org/W2037316890","https://openalex.org/W2067884138","https://openalex.org/W2091074743","https://openalex.org/W2099000753","https://openalex.org/W2130257210","https://openalex.org/W2751023760","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W1987826597","https://openalex.org/W152192128","https://openalex.org/W193081795","https://openalex.org/W2358924152","https://openalex.org/W2595858485","https://openalex.org/W2075321878","https://openalex.org/W2381420691","https://openalex.org/W2365654371","https://openalex.org/W2360431227","https://openalex.org/W3088779938"],"abstract_inverted_index":{"We":[0,125],"propose":[1],"a":[2,100],"patient-specific":[3,86],"model":[4,71,102],"based":[5,118],"on":[6,119],"PDE":[7],"to":[8,70,109,140],"predict":[9],"the":[10,31,36,48,66,72,94,120,127,134],"evolution":[11,18],"of":[12,19],"lung":[13],"tumors":[14],"during":[15],"radiotherapy.":[16],"The":[17],"tumor":[20,56,111,122,136],"cell":[21,57,123],"densities":[22],"is":[23,69,106],"formulated":[24],"by":[25,75,143],"three":[26],"terms:":[27],"1)":[28],"advection":[29,73],"describing":[30],"mobility,":[32],"2)":[33],"reaction":[34],"representing":[35],"proliferation":[37],"modeled":[38,51],"as":[39,52],"Gompertz":[40],"differential":[41],"equation,":[42],"and":[43,96,113],"3)":[44],"treatment":[45],"quanti":[46],"tying":[47],"radiotherapeutic":[49],"efficacy":[50],"exponential":[53],"function.":[54],"As":[55],"density":[58],"variation":[59],"can":[60],"be":[61],"derived":[62],"from":[63,81],"PET":[64],"images,":[65,98],"novel":[67],"idea":[68],"term":[74],"calculating":[76],"3D":[77],"optical":[78],"flow":[79],"field":[80],"sequential":[82],"images.":[83],"To":[84],"estimate":[85],"parameters,":[87],"we":[88],"carry":[89],"out":[90],"an":[91,144],"optimization":[92],"between":[93],"predicted":[95,121,135],"observed":[97],"under":[99],"volume-dose":[101],"constraint.":[103],"Threshold":[104],"method":[105],"then":[107],"used":[108],"define":[110],"contours":[112,137],"maximum":[114],"standardized":[115],"uptake":[116],"values,":[117],"densities.":[124],"present":[126],"results":[128],"obtained":[129],"in":[130],"8":[131],"patients,":[132],"where":[133],"are":[138],"compared":[139],"those":[141],"drawn":[142],"expert.":[145]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}