{"id":"https://openalex.org/W2891836668","doi":"https://doi.org/10.1109/pcs.2018.8456262","title":"Compression of Dynamic Medical CT Data Using Motion Compensated Wavelet Lifting with Denoised Update","display_name":"Compression of Dynamic Medical CT Data Using Motion Compensated Wavelet Lifting with Denoised Update","publication_year":2018,"publication_date":"2018-06-01","ids":{"openalex":"https://openalex.org/W2891836668","doi":"https://doi.org/10.1109/pcs.2018.8456262","mag":"2891836668"},"language":"en","primary_location":{"id":"doi:10.1109/pcs.2018.8456262","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pcs.2018.8456262","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Picture Coding Symposium (PCS)","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/A5083685652","display_name":"Daniela Lanz","orcid":"https://orcid.org/0000-0003-4820-1752"},"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":"Daniela Lanz","raw_affiliation_strings":["Multimedia Communications and Signal Processing, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg (FAU) Cauerstr. 7, Erlangen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Multimedia Communications and Signal Processing, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg (FAU) Cauerstr. 7, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034495569","display_name":"J\u00fcrgen Seiler","orcid":"https://orcid.org/0000-0001-5295-893X"},"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":"Jurgen Seiler","raw_affiliation_strings":["Multimedia Communications and Signal Processing, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg (FAU) Cauerstr. 7, Erlangen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Multimedia Communications and Signal Processing, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg (FAU) Cauerstr. 7, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043865074","display_name":"Karina Jaskolka","orcid":"https://orcid.org/0000-0001-7113-5154"},"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":"Karina Jaskolka","raw_affiliation_strings":["Multimedia Communications and Signal Processing, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg (FAU) Cauerstr. 7, Erlangen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Multimedia Communications and Signal Processing, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg (FAU) Cauerstr. 7, 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":["Multimedia Communications and Signal Processing, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg (FAU) Cauerstr. 7, Erlangen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Multimedia Communications and Signal Processing, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg (FAU) Cauerstr. 7, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.424,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.67845619,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"2569","issue":null,"first_page":"56","last_page":"60"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9997000098228455,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9997000098228455,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9997000098228455,"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/T11105","display_name":"Advanced Image Processing 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/computer-science","display_name":"Computer science","score":0.7139881253242493},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.6380465030670166},{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.6334762573242188},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5390225648880005},{"id":"https://openalex.org/keywords/motion-compensation","display_name":"Motion compensation","score":0.5305833220481873},{"id":"https://openalex.org/keywords/ghosting","display_name":"Ghosting","score":0.508567214012146},{"id":"https://openalex.org/keywords/compression-ratio","display_name":"Compression ratio","score":0.45465919375419617},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4346689283847809},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.42437517642974854},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38390225172042847},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37291526794433594}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7139881253242493},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.6380465030670166},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.6334762573242188},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5390225648880005},{"id":"https://openalex.org/C128840427","wikidata":"https://www.wikidata.org/wiki/Q1302174","display_name":"Motion compensation","level":2,"score":0.5305833220481873},{"id":"https://openalex.org/C2780531524","wikidata":"https://www.wikidata.org/wiki/Q551540","display_name":"Ghosting","level":2,"score":0.508567214012146},{"id":"https://openalex.org/C25797200","wikidata":"https://www.wikidata.org/wiki/Q828137","display_name":"Compression ratio","level":3,"score":0.45465919375419617},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4346689283847809},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.42437517642974854},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38390225172042847},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37291526794433594},{"id":"https://openalex.org/C511840579","wikidata":"https://www.wikidata.org/wiki/Q12757","display_name":"Internal combustion engine","level":2,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/pcs.2018.8456262","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pcs.2018.8456262","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Picture Coding Symposium (PCS)","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":19,"referenced_works":["https://openalex.org/W1524079700","https://openalex.org/W1576046429","https://openalex.org/W1627054999","https://openalex.org/W1974581749","https://openalex.org/W2052442401","https://openalex.org/W2056370875","https://openalex.org/W2060326983","https://openalex.org/W2067098972","https://openalex.org/W2087286697","https://openalex.org/W2097073572","https://openalex.org/W2133665775","https://openalex.org/W2142803455","https://openalex.org/W2160956336","https://openalex.org/W2505609860","https://openalex.org/W2761764915","https://openalex.org/W2979673094","https://openalex.org/W2979990382","https://openalex.org/W6663626722","https://openalex.org/W6769015554"],"related_works":["https://openalex.org/W2948148442","https://openalex.org/W2461250372","https://openalex.org/W2394342941","https://openalex.org/W2169853506","https://openalex.org/W2547124190","https://openalex.org/W1558425494","https://openalex.org/W2350586049","https://openalex.org/W2385628723","https://openalex.org/W2169871401","https://openalex.org/W3080614128"],"abstract_inverted_index":{"For":[0],"the":[1,49,62,82,114,126,134,138,146,160],"lossless":[2,32],"compression":[3,99,115],"of":[4,61,69,117,137,159],"dynamic":[5],"$3-\\mathrm":[6],"{D}+\\mathrm":[7],"{t}$":[8],"volumes":[9],"as":[10,57,155],"produced":[11],"by":[12,76,122,141],"medical":[13],"devices":[14],"like":[15],"Computed":[16],"Tomography,":[17],"various":[18],"coding":[19,30,34],"schemes":[20],"can":[21,73],"be":[22,55,74],"applied.":[23],"This":[24,72,85],"paper":[25],"shows":[26],"that":[27],"3-D":[28,119],"subband":[29,83,92,140,148],"outperforms":[31],"HEVC":[33],"and":[35],"additionally":[36],"provides":[37],"a":[38,58,67,88,97,109,156],"scalable":[39],"representation,":[40],"which":[41,53],"is":[42,149],"often":[43],"required":[44],"in":[45,87,125],"telemedicine":[46],"applications.":[47],"However,":[48],"resulting":[50],"lowpass":[51,91,139,147],"subband,":[52],"shall":[54],"used":[56,154],"downscaled":[59,157],"representative":[60,158],"whole":[63,161],"original":[64,162],"sequence,":[65],"contains":[66],"lot":[68],"ghosting":[70],"artifacts.":[71],"alleviated":[75],"incorporating":[77],"motion":[78],"compensation":[79],"methods":[80],"into":[81],"coder.":[84],"results":[86],"high":[89],"quality":[90],"but":[93],"also":[94],"leads":[95],"to":[96,103,132,143],"lower":[98],"ratio.":[100],"In":[101],"order":[102],"cope":[104],"with":[105],"this,":[106],"we":[107],"introduce":[108],"new":[110],"approach":[111],"for":[112,152],"improving":[113],"efficiency":[116],"compensated":[118],"wavelet":[120],"lifting":[121],"performing":[123],"denoising":[124],"update":[127],"step.":[128],"We":[129],"are":[130],"able":[131],"reduce":[133],"file":[135],"size":[136],"up":[142],"1.64%,":[144],"while":[145],"still":[150],"applicable":[151],"being":[153],"sequence.":[163]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}