{"id":"https://openalex.org/W2027820680","doi":"https://doi.org/10.1109/isbi.2013.6556598","title":"Real-time motion estimation with MRI","display_name":"Real-time motion estimation with MRI","publication_year":2013,"publication_date":"2013-04-01","ids":{"openalex":"https://openalex.org/W2027820680","doi":"https://doi.org/10.1109/isbi.2013.6556598","mag":"2027820680"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2013.6556598","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2013.6556598","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":"article","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/A5101735167","display_name":"Wenyang Liu","orcid":"https://orcid.org/0000-0002-5073-8623"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Wenyang Liu","raw_affiliation_strings":["Department of Bioengineering, University of California, Los Angeles, USA","Dept. of Bioeng., Univ. of California, Los Angeles, Los Angeles, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Bioengineering, University of California, Los Angeles, USA","institution_ids":["https://openalex.org/I161318765"]},{"raw_affiliation_string":"Dept. of Bioeng., Univ. of California, Los Angeles, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051265222","display_name":"Dan Ruan","orcid":"https://orcid.org/0000-0003-3400-7684"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dan Ruan","raw_affiliation_strings":["Department of Bioengineering, Department of Radiation Oncology, University of California, Los Angeles, USA","Dept. of Bioeng., Univ. of California, Los Angeles, Los Angeles, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Bioengineering, Department of Radiation Oncology, University of California, Los Angeles, USA","institution_ids":["https://openalex.org/I161318765"]},{"raw_affiliation_string":"Dept. of Bioeng., Univ. of California, Los Angeles, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I161318765"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101735167"],"corresponding_institution_ids":["https://openalex.org/I161318765"],"apc_list":null,"apc_paid":null,"fwci":0.2807,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.59407423,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"153","issue":null,"first_page":"808","last_page":"811"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9969000220298767,"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/contrast","display_name":"Contrast (vision)","score":0.836970865726471},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6798198223114014},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6690728664398193},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6365534663200378},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.6014220714569092},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.593736469745636},{"id":"https://openalex.org/keywords/intensity","display_name":"Intensity (physics)","score":0.5266430377960205},{"id":"https://openalex.org/keywords/obstacle","display_name":"Obstacle","score":0.47740522027015686},{"id":"https://openalex.org/keywords/temporal-resolution","display_name":"Temporal resolution","score":0.456635981798172},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.44303134083747864},{"id":"https://openalex.org/keywords/dynamic-contrast-enhanced-mri","display_name":"Dynamic contrast-enhanced MRI","score":0.43412765860557556},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38742005825042725},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36400163173675537},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.2652356028556824},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11077427864074707},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.0910564661026001}],"concepts":[{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.836970865726471},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6798198223114014},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6690728664398193},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6365534663200378},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.6014220714569092},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.593736469745636},{"id":"https://openalex.org/C93038891","wikidata":"https://www.wikidata.org/wiki/Q1061524","display_name":"Intensity (physics)","level":2,"score":0.5266430377960205},{"id":"https://openalex.org/C2776650193","wikidata":"https://www.wikidata.org/wiki/Q264661","display_name":"Obstacle","level":2,"score":0.47740522027015686},{"id":"https://openalex.org/C119666444","wikidata":"https://www.wikidata.org/wiki/Q5977280","display_name":"Temporal resolution","level":2,"score":0.456635981798172},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.44303134083747864},{"id":"https://openalex.org/C41727105","wikidata":"https://www.wikidata.org/wiki/Q17009718","display_name":"Dynamic contrast-enhanced MRI","level":3,"score":0.43412765860557556},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38742005825042725},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36400163173675537},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.2652356028556824},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11077427864074707},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0910564661026001},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi.2013.6556598","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2013.6556598","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":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1578285471","https://openalex.org/W1979393293","https://openalex.org/W2004537679","https://openalex.org/W2094507611","https://openalex.org/W2133887756","https://openalex.org/W2751023760","https://openalex.org/W4212781311"],"related_works":["https://openalex.org/W2053997980","https://openalex.org/W4213399134","https://openalex.org/W1918050474","https://openalex.org/W1964707821","https://openalex.org/W2619424728","https://openalex.org/W1519430782","https://openalex.org/W4226055890","https://openalex.org/W2060119562","https://openalex.org/W3128465236","https://openalex.org/W1984236853"],"abstract_inverted_index":{"Real-time":[0],"motion":[1,39,51],"estimation":[2,52],"is":[3],"challenging,":[4],"especially":[5],"with":[6,113],"MR":[7,111,133],"imaging":[8],"where":[9],"an":[10],"intrinsic":[11],"tradeoff":[12],"exists":[13],"between":[14],"spatial":[15],"and":[16,31,72,93,116,145],"temporal":[17],"resolution.":[18],"The":[19],"spatially":[20],"varying":[21],"pharmacokinetic":[22],"behavior":[23],"of":[24,90,101],"contrast":[25,32,71,80,115,125],"agents":[26,126],"contributes":[27],"to":[28,76,97,142],"intensity":[29,73,117],"inhomogeneity":[30,74],"changing,":[33],"introducing":[34],"a":[35,46],"further":[36],"obstacle":[37],"in":[38,64],"estimation.":[40],"In":[41],"this":[42],"study,":[43],"we":[44],"propose":[45],"novel":[47],"level":[48],"set":[49],"based":[50,54,130],"method":[53,85],"on":[55,110,131],"the":[56,88,98,122],"observation":[57],"that":[58],"higher":[59],"order":[60],"geometric":[61],"features":[62],"present":[63],"anatomic":[65],"boundaries":[66],"are":[67,127],"less":[68],"influenced":[69],"by":[70],"due":[75],"low":[77],"SNR":[78],"and/or":[79],"changes.":[81],"More":[82],"specifically,":[83],"our":[84],"first":[86],"estimates":[87],"movement":[89],"anatomical":[91],"boundaries,":[92],"then":[94],"extrapolates":[95],"them":[96],"whole":[99],"domain":[100],"interest.":[102],"Preliminary":[103],"tests":[104],"have":[105,136],"demonstrated":[106],"desirable":[107],"error":[108],"statistics":[109],"images":[112],"simulated":[114],"inhomogeneity,":[118],"as":[119],"would":[120],"be":[121],"case":[123],"when":[124],"used.":[128],"Tests":[129],"real-time":[132],"image":[134],"sequences":[135],"revealed":[137],"visually":[138],"appealing":[139],"results,":[140],"conforming":[141],"prior":[143],"physical":[144],"physiological":[146],"understanding.":[147]},"counts_by_year":[{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
