{"id":"https://openalex.org/W2000226553","doi":"https://doi.org/10.1109/chinasip.2014.6889299","title":"Non-parametric orthogonal slice to volume deformable registration: Application to PET/MR respiratory motion compensation","display_name":"Non-parametric orthogonal slice to volume deformable registration: Application to PET/MR respiratory motion compensation","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W2000226553","doi":"https://doi.org/10.1109/chinasip.2014.6889299","mag":"2000226553"},"language":"en","primary_location":{"id":"doi:10.1109/chinasip.2014.6889299","is_oa":false,"landing_page_url":"https://doi.org/10.1109/chinasip.2014.6889299","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE China Summit &amp; International Conference on Signal and Information Processing (ChinaSIP)","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/A5079523076","display_name":"Shun Miao","orcid":"https://orcid.org/0000-0002-4688-7087"},"institutions":[{"id":"https://openalex.org/I141945490","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Shun Miao","raw_affiliation_strings":["Department of Electric and Computer Engineering, University of British Columbia, Vancouver, BC, Canada","Dept. of Electr. & Comput. Eng., Univ. of British Columbia., Vancouver, BC, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electric and Computer Engineering, University of British Columbia, Vancouver, BC, Canada","institution_ids":["https://openalex.org/I141945490"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Univ. of British Columbia., Vancouver, BC, Canada","institution_ids":["https://openalex.org/I141945490"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051587486","display_name":"Z. Jane Wang","orcid":"https://orcid.org/0000-0002-3791-0249"},"institutions":[{"id":"https://openalex.org/I141945490","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Z. Jane Wang","raw_affiliation_strings":["Department of Electric and Computer Engineering, University of British Columbia, Vancouver, BC, Canada","Dept. of Electr. & Comput. Eng., Univ. of British Columbia., Vancouver, BC, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electric and Computer Engineering, University of British Columbia, Vancouver, BC, Canada","institution_ids":["https://openalex.org/I141945490"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Univ. of British Columbia., Vancouver, BC, Canada","institution_ids":["https://openalex.org/I141945490"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103047992","display_name":"Rui Liao","orcid":"https://orcid.org/0000-0001-5155-9232"},"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":["Imaging and Computer Vision, Corporate Technology, Princeton, NJ, USA","Imaging and Computer Vision, Siemens Corporation, Princeton, NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Imaging and Computer Vision, Corporate Technology, Princeton, NJ, USA","institution_ids":["https://openalex.org/I20089843"]},{"raw_affiliation_string":"Imaging and Computer Vision, Siemens Corporation, Princeton, NJ, USA","institution_ids":["https://openalex.org/I4210137693"]}]}],"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":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"530","last_page":"534"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":1.0,"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":1.0,"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":0.9983999729156494,"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":0.9983999729156494,"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/computer-vision","display_name":"Computer vision","score":0.6938318014144897},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6037000417709351},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5951980352401733},{"id":"https://openalex.org/keywords/motion-compensation","display_name":"Motion compensation","score":0.5404295921325684},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.5271741151809692},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.5217567086219788},{"id":"https://openalex.org/keywords/sagittal-plane","display_name":"Sagittal plane","score":0.4876450300216675},{"id":"https://openalex.org/keywords/coronal-plane","display_name":"Coronal plane","score":0.48437413573265076},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1743990182876587},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.15345314145088196},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.13686150312423706}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6938318014144897},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6037000417709351},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5951980352401733},{"id":"https://openalex.org/C128840427","wikidata":"https://www.wikidata.org/wiki/Q1302174","display_name":"Motion compensation","level":2,"score":0.5404295921325684},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.5271741151809692},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.5217567086219788},{"id":"https://openalex.org/C178910020","wikidata":"https://www.wikidata.org/wiki/Q2211994","display_name":"Sagittal plane","level":2,"score":0.4876450300216675},{"id":"https://openalex.org/C13483470","wikidata":"https://www.wikidata.org/wiki/Q1470152","display_name":"Coronal plane","level":2,"score":0.48437413573265076},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1743990182876587},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.15345314145088196},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.13686150312423706},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/chinasip.2014.6889299","is_oa":false,"landing_page_url":"https://doi.org/10.1109/chinasip.2014.6889299","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE China Summit &amp; International Conference on Signal and Information Processing (ChinaSIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W175563506","https://openalex.org/W1960717653","https://openalex.org/W1969078418","https://openalex.org/W1981169347","https://openalex.org/W2024384791","https://openalex.org/W2035271172","https://openalex.org/W2042429488","https://openalex.org/W2055483062","https://openalex.org/W2058236919","https://openalex.org/W2075020677","https://openalex.org/W2141652312","https://openalex.org/W2145645850","https://openalex.org/W2157598072","https://openalex.org/W2159081727"],"related_works":["https://openalex.org/W2085797056","https://openalex.org/W3029575091","https://openalex.org/W3206109241","https://openalex.org/W2096492337","https://openalex.org/W2089641517","https://openalex.org/W2053950117","https://openalex.org/W4327677471","https://openalex.org/W2392728866","https://openalex.org/W4391683356","https://openalex.org/W2097859795"],"abstract_inverted_index":{"The":[0,76],"recent":[1],"advance":[2],"of":[3,11,59],"hybrid":[4],"PET/MR":[5,20],"system":[6],"enables":[7],"MR-based":[8],"motion":[9,21,37,153],"correction":[10],"PET":[12,54,74,97,141,155],"data.":[13],"In":[14,42],"this":[15],"paper,":[16],"we":[17],"propose":[18],"a":[19,26,46,57,92],"compensation":[22],"(MC)":[23],"strategy":[24,109],"and":[25,56,67,116,138,151],"non-parametric":[27],"orthogonal":[28,80],"slice":[29],"to":[30,90,120,145],"volume":[31],"deformable":[32],"registration":[33,149],"technique":[34],"for":[35,96],"respiratory":[36,114],"estimation":[38],"from":[39,135],"the":[40,53,73,86,105,158],"MRIs.":[41],"our":[43,107,129],"imaging":[44],"strategy,":[45],"static":[47,87],"3D":[48,88],"MRI":[49,89,132],"is":[50,118],"acquired":[51,64,134],"before":[52],"acquisition,":[55],"series":[58],"dynamic":[60],"2D":[61,77],"MRIs":[62,78],"are":[63,82],"in":[65,79,104,148],"sagittal":[66],"coronal":[68],"planes":[69],"by":[70],"turns":[71],"during":[72],"acquisition.":[75],"orientations":[81],"then":[83],"registered":[84],"with":[85],"derive":[91],"3D+t":[93],"deformation":[94],"field":[95],"MC.":[98],"Unlike":[99],"most":[100],"previously":[101],"reported":[102,159],"works":[103],"literature,":[106],"MC":[108,160],"does":[110],"not":[111],"rely":[112],"on":[113],"gating,":[115],"therefore":[117],"able":[119],"address":[121],"irregular":[122],"and/or":[123],"varying":[124],"breathing":[125],"patterns.":[126],"We":[127],"validated":[128],"approach":[130],"using":[131],"data":[133],"5":[136],"volunteers":[137],"synthetic":[139],"simultaneous":[140],"data,":[142],"demonstrating":[143],"up":[144],"30.5%":[146],"improvement":[147],"accuracy":[150],"sharper":[152],"corrected":[154],"images":[156],"over":[157],"approaches.":[161]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
