{"id":"https://openalex.org/W2761764915","doi":"https://doi.org/10.1109/tip.2017.2762586","title":"Temporal Scalability of Dynamic Volume Data Using Mesh Compensated Wavelet Lifting","display_name":"Temporal Scalability of Dynamic Volume Data Using Mesh Compensated Wavelet Lifting","publication_year":2017,"publication_date":"2017-10-12","ids":{"openalex":"https://openalex.org/W2761764915","doi":"https://doi.org/10.1109/tip.2017.2762586","mag":"2761764915","pmid":"https://pubmed.ncbi.nlm.nih.gov/29028194"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2017.2762586","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2017.2762586","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2303.00379","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5057492025","display_name":"Wolfgang Schnurrer","orcid":"https://orcid.org/0000-0003-1413-5988"},"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":true,"raw_author_name":"Wolfgang Schnurrer","raw_affiliation_strings":["Chair of Multimedia Communications and Signal Processing, Friedrich-Alexander-University Erlangen-N\u00fcrnberg, Erlangen, Germany"],"affiliations":[{"raw_affiliation_string":"Chair of Multimedia Communications and Signal Processing, Friedrich-Alexander-University Erlangen-N\u00fcrnberg, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035490539","display_name":"Niklas Pallast","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":"Niklas Pallast","raw_affiliation_strings":["Chair of Multimedia Communications and Signal Processing, Friedrich-Alexander-University Erlangen-N\u00fcrnberg, Erlangen, Germany"],"affiliations":[{"raw_affiliation_string":"Chair of Multimedia Communications and Signal Processing, Friedrich-Alexander-University Erlangen-N\u00fcrnberg, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101551100","display_name":"Thomas Richter","orcid":"https://orcid.org/0000-0001-7721-0426"},"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":"Thomas Richter","raw_affiliation_strings":["Chair of Multimedia Communications and Signal Processing, Friedrich-Alexander-University Erlangen-N\u00fcrnberg, Erlangen, Germany"],"affiliations":[{"raw_affiliation_string":"Chair of Multimedia Communications and Signal Processing, Friedrich-Alexander-University Erlangen-N\u00fcrnberg, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062850220","display_name":"Andr\u00e9 Kaup","orcid":"https://orcid.org/0000-0002-0929-5074"},"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":"Andre Kaup","raw_affiliation_strings":["Chair of Multimedia Communications and Signal Processing, Friedrich-Alexander-University Erlangen-N\u00fcrnberg, Erlangen, Germany"],"affiliations":[{"raw_affiliation_string":"Chair of Multimedia Communications and Signal Processing, Friedrich-Alexander-University Erlangen-N\u00fcrnberg, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5057492025"],"corresponding_institution_ids":["https://openalex.org/I181369854"],"apc_list":null,"apc_paid":null,"fwci":0.647,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.79018442,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"27","issue":"1","first_page":"419","last_page":"431"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9986000061035156,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9986000061035156,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9973000288009644,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9970999956130981,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.6717486381530762},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.656792402267456},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5407280325889587},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4643813371658325},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.4531944990158081},{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.4405296742916107},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4200512170791626},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41568922996520996},{"id":"https://openalex.org/keywords/motion-compensation","display_name":"Motion compensation","score":0.4109691381454468},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35558149218559265},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.2116382122039795}],"concepts":[{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6717486381530762},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.656792402267456},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5407280325889587},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4643813371658325},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.4531944990158081},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.4405296742916107},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4200512170791626},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41568922996520996},{"id":"https://openalex.org/C128840427","wikidata":"https://www.wikidata.org/wiki/Q1302174","display_name":"Motion compensation","level":2,"score":0.4109691381454468},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35558149218559265},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.2116382122039795},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tip.2017.2762586","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2017.2762586","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:29028194","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29028194","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null},{"id":"pmh:oai:arXiv.org:2303.00379","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2303.00379","pdf_url":"https://arxiv.org/pdf/2303.00379","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2303.00379","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2303.00379","pdf_url":"https://arxiv.org/pdf/2303.00379","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4910918166","display_name":null,"funder_award_id":"KA 926/4-2","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G5106512922","display_name":null,"funder_award_id":"Deutsche Forschungsgemeinschaft (DFG","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G6024419964","display_name":null,"funder_award_id":"Deutsche Forschungsgemeinschaft (DFG)","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G6052429835","display_name":null,"funder_award_id":"(DFG)","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"}],"funders":[{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2761764915.pdf","grobid_xml":"https://content.openalex.org/works/W2761764915.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W127498844","https://openalex.org/W1489597235","https://openalex.org/W1964560558","https://openalex.org/W2009663065","https://openalex.org/W2015370045","https://openalex.org/W2030422831","https://openalex.org/W2042941801","https://openalex.org/W2044470449","https://openalex.org/W2065045484","https://openalex.org/W2095069109","https://openalex.org/W2099231374","https://openalex.org/W2100151714","https://openalex.org/W2101572127","https://openalex.org/W2101907787","https://openalex.org/W2104291851","https://openalex.org/W2106339590","https://openalex.org/W2124247179","https://openalex.org/W2126664531","https://openalex.org/W2140196014","https://openalex.org/W2142803455","https://openalex.org/W2146395539","https://openalex.org/W2146808563","https://openalex.org/W2147414377","https://openalex.org/W2147913085","https://openalex.org/W2154988097","https://openalex.org/W2167650540","https://openalex.org/W2170023599","https://openalex.org/W2170937143","https://openalex.org/W2485092916","https://openalex.org/W2545197209","https://openalex.org/W4244656874","https://openalex.org/W4251101141","https://openalex.org/W6729306638"],"related_works":["https://openalex.org/W2186939576","https://openalex.org/W2357988910","https://openalex.org/W2377158164","https://openalex.org/W2187600494","https://openalex.org/W2948148442","https://openalex.org/W2352493357","https://openalex.org/W2114030128","https://openalex.org/W2135707701","https://openalex.org/W2350586049","https://openalex.org/W2156834380"],"abstract_inverted_index":{"Due":[0],"to":[1,82,118,150,174],"their":[2],"high":[3,72,111],"resolution,":[4],"dynamic":[5,104,123,154,204],"medical":[6],"2D+t":[7],"and":[8,15,106,131,185,196,206,220],"3D+t":[9],"volumes":[10,108,124,208],"from":[11],"computed":[12],"tomography":[13,18],"(CT)":[14],"magnetic":[16],"resonance":[17],"(MR)":[19],"reach":[20],"a":[21,39,86,100],"size":[22],"which":[23,42,125],"makes":[24],"them":[25],"very":[26,71,110],"unhandy":[27],"for":[28,46,54,98,153,201],"teleradiologic":[29],"applications.":[30],"A":[31,70],"lossless":[32],"scalable":[33,101],"representation":[34,102],"offers":[35,66],"the":[36,51,56,67,75,120,146,157,160,163,169,182,188,191,210,216],"advantage":[37],"of":[38,74,103,133,145,162,190,212,215],"down-scaled":[40,87],"version":[41],"can":[43,186],"be":[44],"used":[45],"orientation":[47],"or":[48],"previewing,":[49],"while":[50],"remaining":[52],"information":[53],"reconstructing":[55],"full":[57],"resolution":[58],"is":[59,78,116,126,166],"transmitted":[60],"on":[61,94,199,222],"demand.":[62],"The":[63,113],"wavelet":[64,96],"transform":[65],"desired":[68],"scalability.":[69],"quality":[73,189],"lowpass":[76,192],"sub-band":[77,193],"crucial":[79,167],"in":[80,122,168],"order":[81],"use":[83],"it":[84],"as":[85],"representation.":[88],"We":[89,172],"propose":[90,141,173],"an":[91,142,213],"approach":[92],"based":[93],"compensated":[95],"lifting":[97,158],"obtaining":[99],"CT":[105,205],"MR":[107,207],"with":[109],"quality.":[112],"mesh":[114,147],"compensation":[115,148,165],"feasible":[117],"model":[119],"displacement":[121],"mainly":[127],"given":[128],"by":[129,194,218],"expansion":[130],"contraction":[132],"tissue":[134],"over":[135],"time.":[136],"To":[137],"achieve":[138],"this,":[139],"we":[140],"optimized":[143],"estimation":[144,183],"parameters":[149],"optimally":[151],"fit":[152],"volumes.":[155],"Within":[156],"structure,":[159],"inversion":[161,177],"motion":[164],"update":[170],"step.":[171],"take":[175],"this":[176],"directly":[178],"into":[179],"account":[180],"during":[181],"step":[184],"improve":[187],"0.63":[195],"0.43":[197],"dB":[198],"average":[200],"our":[202],"tested":[203],"at":[209],"cost":[211],"increase":[214],"rate":[217],"2.4%":[219],"1.2%":[221],"average.":[223]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}