{"id":"https://openalex.org/W1976038086","doi":"https://doi.org/10.1109/cvpr.2010.5540038","title":"Model-based respiratory motion compensation for image-guided cardiac interventions","display_name":"Model-based respiratory motion compensation for image-guided cardiac interventions","publication_year":2010,"publication_date":"2010-06-01","ids":{"openalex":"https://openalex.org/W1976038086","doi":"https://doi.org/10.1109/cvpr.2010.5540038","mag":"1976038086"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2010.5540038","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2010.5540038","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition","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/A5016946867","display_name":"Matthias Schneider","orcid":"https://orcid.org/0000-0002-6320-3708"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Matthias Schneider","raw_affiliation_strings":["Pattern Recognition Lab, University of Erlangen Nuremberg, Erlangen, Germany","Pattern Recognition Lab., Univ. of Erlangen-Nuremberg, Erlangen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pattern Recognition Lab, University of Erlangen Nuremberg, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]},{"raw_affiliation_string":"Pattern Recognition Lab., Univ. of Erlangen-Nuremberg, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051806400","display_name":"Hari Sundar","orcid":"https://orcid.org/0000-0001-9001-5107"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]},{"id":"https://openalex.org/I4210137693","display_name":"Siemens (United States)","ror":"https://ror.org/04axb7e79","country_code":"US","type":"company","lineage":["https://openalex.org/I1325886976","https://openalex.org/I4210137693"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hari Sundar","raw_affiliation_strings":["Siemens AG Corporate Research and Development, Princeton, NJ, USA","Siemens Corporate Research, 755 College Road East, Princeton NJ 08540, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Siemens AG Corporate Research and Development, Princeton, NJ, USA","institution_ids":["https://openalex.org/I4210137693"]},{"raw_affiliation_string":"Siemens Corporate Research, 755 College Road East, Princeton NJ 08540, USA","institution_ids":["https://openalex.org/I20089843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057068227","display_name":"Rui Liao","orcid":"https://orcid.org/0000-0002-0057-2792"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]},{"id":"https://openalex.org/I4210137693","display_name":"Siemens (United States)","ror":"https://ror.org/04axb7e79","country_code":"US","type":"company","lineage":["https://openalex.org/I1325886976","https://openalex.org/I4210137693"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rui Liao","raw_affiliation_strings":["Siemens AG Corporate Research and Development, Princeton, NJ, USA","Siemens Corporate Research, 755 College Road East, Princeton NJ 08540, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Siemens AG Corporate Research and Development, Princeton, NJ, USA","institution_ids":["https://openalex.org/I4210137693"]},{"raw_affiliation_string":"Siemens Corporate Research, 755 College Road East, Princeton NJ 08540, USA","institution_ids":["https://openalex.org/I20089843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058662444","display_name":"Joachim Hornegger","orcid":null},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Joachim Hornegger","raw_affiliation_strings":["Pattern Recognition Lab, University of Erlangen Nuremberg, Erlangen, Germany","Pattern Recognition Lab., Univ. of Erlangen-Nuremberg, Erlangen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pattern Recognition Lab, University of Erlangen Nuremberg, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]},{"raw_affiliation_string":"Pattern Recognition Lab., Univ. of Erlangen-Nuremberg, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102008316","display_name":"Chenyang Xu","orcid":"https://orcid.org/0000-0002-3127-0017"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]},{"id":"https://openalex.org/I4210137693","display_name":"Siemens (United States)","ror":"https://ror.org/04axb7e79","country_code":"US","type":"company","lineage":["https://openalex.org/I1325886976","https://openalex.org/I4210137693"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chenyang Xu","raw_affiliation_strings":["Siemens AG Corporate Research and Development, Princeton, NJ, USA","Siemens Corporate Research, 755 College Road East, Princeton NJ 08540, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Siemens AG Corporate Research and Development, Princeton, NJ, USA","institution_ids":["https://openalex.org/I4210137693"]},{"raw_affiliation_string":"Siemens Corporate Research, 755 College Road East, Princeton NJ 08540, USA","institution_ids":["https://openalex.org/I20089843"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"6141","issue":null,"first_page":"2948","last_page":"2954"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9997000098228455,"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9997000098228455,"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/T10358","display_name":"Advanced Radiotherapy Techniques","score":0.9993000030517578,"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/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9988999962806702,"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/image-registration","display_name":"Image registration","score":0.7769528031349182},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7286421656608582},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7200069427490234},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7014243602752686},{"id":"https://openalex.org/keywords/motion-compensation","display_name":"Motion compensation","score":0.6594642400741577},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6317702531814575},{"id":"https://openalex.org/keywords/biplane","display_name":"Biplane","score":0.603689968585968},{"id":"https://openalex.org/keywords/imaging-phantom","display_name":"Imaging phantom","score":0.5229414701461792},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4721508026123047},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.42829248309135437},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1994553804397583},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.17436891794204712},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.1659519374370575},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09402728080749512}],"concepts":[{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.7769528031349182},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7286421656608582},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7200069427490234},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7014243602752686},{"id":"https://openalex.org/C128840427","wikidata":"https://www.wikidata.org/wiki/Q1302174","display_name":"Motion compensation","level":2,"score":0.6594642400741577},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6317702531814575},{"id":"https://openalex.org/C91158637","wikidata":"https://www.wikidata.org/wiki/Q223818","display_name":"Biplane","level":2,"score":0.603689968585968},{"id":"https://openalex.org/C104293457","wikidata":"https://www.wikidata.org/wiki/Q28324852","display_name":"Imaging phantom","level":2,"score":0.5229414701461792},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4721508026123047},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.42829248309135437},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1994553804397583},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.17436891794204712},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.1659519374370575},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09402728080749512},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr.2010.5540038","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2010.5540038","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.550000011920929,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1495971627","https://openalex.org/W1582088080","https://openalex.org/W1899587360","https://openalex.org/W1962314142","https://openalex.org/W1965551139","https://openalex.org/W1977259876","https://openalex.org/W2005287757","https://openalex.org/W2032079668","https://openalex.org/W2033974008","https://openalex.org/W2051989783","https://openalex.org/W2061919388","https://openalex.org/W2070166751","https://openalex.org/W2098979973","https://openalex.org/W2112129912","https://openalex.org/W2127317088","https://openalex.org/W2128638241","https://openalex.org/W2129534965","https://openalex.org/W2132652047","https://openalex.org/W2133995198","https://openalex.org/W2158700865","https://openalex.org/W2160218787","https://openalex.org/W2170120409","https://openalex.org/W2171514516"],"related_works":["https://openalex.org/W1579157894","https://openalex.org/W1967654336","https://openalex.org/W2060632806","https://openalex.org/W1530267862","https://openalex.org/W2995690499","https://openalex.org/W1494405360","https://openalex.org/W2050955821","https://openalex.org/W2153529351","https://openalex.org/W2040149295","https://openalex.org/W2016848112"],"abstract_inverted_index":{"In":[0,19],"this":[1,78],"paper":[2],"we":[3],"propose":[4],"and":[5,41,84,124,141,165],"validate":[6,131],"a":[7,20,24,36,45,56,153],"PCA-based":[8],"respiratory":[9,46],"motion":[10,13,47,50,64,182],"model":[11,51],"for":[12,63,88,109,161,181],"compensation":[14,65],"during":[15],"image-guided":[16],"cardiac":[17,37],"interventions.":[18],"preparatory":[21],"training":[22],"phase,":[23],"preoperative":[25],"3-D":[26,154],"segmentation":[27],"of":[28,77,99,137,156],"the":[29,59,68,75,82,97,132,149],"coronary":[30],"arteries":[31],"is":[32,52,73],"automatically":[33],"registered":[34],"with":[35,152,168],"gated":[38],"biplane":[39],"cineangiogram,":[40],"used":[42,54,129],"to":[43,66,130,146],"build":[44],"model.":[48],"This":[49,107],"subsequently":[53],"as":[55,93,120,122],"prior":[57],"within":[58],"intraoperative":[60,104,150],"registration":[61,80,85,116,134,138,151],"process":[62],"restrict":[67],"search":[69],"space.":[70],"Our":[71],"hypothesis":[72],"that":[74],"use":[76],"model-constrained":[79],"increases":[81],"robustness":[83,140],"accuracy,":[86,139],"especially":[87],"weak":[89],"data":[90,119],"constraints":[91],"such":[92],"low":[94],"signal-to-noise":[95],"ratio,":[96],"lack":[98],"contrast":[100,170],"information,":[101],"or":[102],"an":[103],"monoplane":[105,163],"setting.":[106],"allows":[108],"reducing":[110],"radiation":[111],"exposure":[112],"without":[113],"compromising":[114],"on":[115,173],"accuracy.":[117],"Synthetic":[118],"well":[121],"phantom":[123],"clinical":[125,185],"datasets":[126],"have":[127],"been":[128],"model-based":[133],"in":[135,184],"terms":[136],"speed.":[142],"We":[143],"were":[144],"able":[145],"significantly":[147],"accelerate":[148],"TRE":[155],"less":[157],"than":[158],"2":[159],"mm":[160],"both":[162],"images":[164],"intraprocedure":[166],"settings":[167],"missing":[169],"information":[171],"based":[172],"2-D":[174],"guidewire":[175],"tracking,":[176],"which":[177],"makes":[178],"it":[179],"feasible":[180],"correction":[183],"procedures.":[186]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
