{"id":"https://openalex.org/W4400326732","doi":"https://doi.org/10.48550/arxiv.2407.00665","title":"Resolving Variable Respiratory Motion From Unsorted 4D Computed Tomography","display_name":"Resolving Variable Respiratory Motion From Unsorted 4D Computed Tomography","publication_year":2024,"publication_date":"2024-06-30","ids":{"openalex":"https://openalex.org/W4400326732","doi":"https://doi.org/10.48550/arxiv.2407.00665"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2407.00665","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2407.00665","pdf_url":"https://arxiv.org/pdf/2407.00665","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2407.00665","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101596333","display_name":"Yuliang Huang","orcid":"https://orcid.org/0009-0006-9177-5849"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Huang, Yuliang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086709197","display_name":"Bj\u00f6rn Eiben","orcid":"https://orcid.org/0000-0002-5908-251X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Eiben, Bjoern","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075569536","display_name":"Kris Thielemans","orcid":"https://orcid.org/0000-0002-5514-199X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Thielemans, Kris","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5015121747","display_name":"Jamie R. McClelland","orcid":"https://orcid.org/0000-0002-4922-0093"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"McClelland, Jamie R.","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101596333"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11993","display_name":"Atomic and Subatomic Physics Research","score":0.9944000244140625,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"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/T11993","display_name":"Atomic and Subatomic Physics Research","score":0.9944000244140625,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"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/T10143","display_name":"Chronic Obstructive Pulmonary Disease (COPD) Research","score":0.9934999942779541,"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/T10322","display_name":"Respiratory Support and Mechanisms","score":0.989799976348877,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computed-tomography","display_name":"Computed tomography","score":0.6145702004432678},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.552656888961792},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.4461454451084137},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3349802494049072},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2566274404525757},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.2502066493034363},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.1994684636592865},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18975982069969177},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.06811439990997314}],"concepts":[{"id":"https://openalex.org/C544519230","wikidata":"https://www.wikidata.org/wiki/Q32566","display_name":"Computed tomography","level":2,"score":0.6145702004432678},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.552656888961792},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.4461454451084137},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3349802494049072},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2566274404525757},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.2502066493034363},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.1994684636592865},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18975982069969177},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.06811439990997314}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:arXiv.org:2407.00665","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2407.00665","pdf_url":"https://arxiv.org/pdf/2407.00665","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:10203159","is_oa":true,"landing_page_url":"https://discovery.ucl.ac.uk/id/eprint/10203159/","pdf_url":"https://discovery.ucl.ac.uk/10203159/1/Paper-3437.pdf","source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"In: Linguraru, MG and Dou, Q and Feragen, A and Giannarou, S and Glocker, B and Lekadir, K and Schnabel, JA, (eds.) Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2024.  (pp. pp. 588-597).  Springer: Cham, Switzerland. (2024)","raw_type":"Proceedings paper"},{"id":"doi:10.48550/arxiv.2407.00665","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2407.00665","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2407.00665","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2407.00665","pdf_url":"https://arxiv.org/pdf/2407.00665","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4400326732.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"4D":[0],"Computed":[1],"Tomography":[2],"(4DCT)":[3],"is":[4,167],"widely":[5],"used":[6],"for":[7],"many":[8],"clinical":[9,43,148],"applications":[10],"such":[11,89],"as":[12,102,110],"radiotherapy":[13],"treatment":[14],"planning,":[15],"PET":[16],"and":[17,116,150],"ventilation":[18],"imaging.":[19],"However,":[20],"common":[21],"4DCT":[22,158],"methods":[23],"reconstruct":[24],"multiple":[25,55],"breath":[26,32],"cycles":[27,56],"into":[28],"a":[29,123],"single,":[30],"arbitrary":[31],"cycle":[33],"which":[34,77],"can":[35,49],"lead":[36],"to":[37,73,96,145],"various":[38],"artefacts,":[39],"impacting":[40],"the":[41,74,93,97,131,137,143],"downstream":[42,147],"applications.":[44],"Surrogate":[45],"driven":[46],"motion":[47,53],"models":[48],"estimate":[50],"continuous":[51],"variable":[52],"across":[54],"based":[57],"on":[58,112],"CT":[59],"segments":[60],"`unsorted'":[61],"from":[62],"4DCT,":[63],"but":[64],"it":[65],"requires":[66],"respiration":[67,162],"surrogate":[68,100],"signals":[69,101,163],"with":[70,128],"strong":[71],"correlation":[72],"internal":[75],"motion,":[76,132],"are":[78,164],"not":[79],"always":[80],"available.":[81],"The":[82],"method":[83,95,121,141],"proposed":[84],"in":[85],"this":[86],"study":[87],"eliminates":[88],"dependency":[90],"by":[91],"adapting":[92],"hyper-gradient":[94],"optimization":[98],"of":[99,130,155],"hyper-parameters,":[103],"while":[104],"achieving":[105],"better":[106],"or":[107],"comparable":[108],"performance,":[109],"demonstrated":[111],"digital":[113],"phantom":[114],"simulations":[115],"real":[117],"patient":[118],"data.":[119],"Our":[120,140],"produces":[122],"high-quality":[124],"motion-compensated":[125],"image":[126,138],"together":[127],"estimates":[129],"including":[133],"breath-to-breath":[134],"variability,":[135],"throughout":[136],"acquisition.":[139],"has":[142],"potential":[144],"improve":[146],"applications,":[149],"also":[151],"enables":[152],"retrospective":[153],"analysis":[154],"open":[156],"access":[157],"dataset":[159],"where":[160],"no":[161],"stored.":[165],"Code":[166],"avaibale":[168],"at":[169],"https://github.com/Yuliang-Huang/4DCT-irregular-motion.":[170]},"counts_by_year":[],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}
