{"id":"https://openalex.org/W1974782533","doi":"https://doi.org/10.1109/icdsp.2013.6622763","title":"Lossless, low-complexity, compression of three-dimensional volumetric medical images via linear prediction","display_name":"Lossless, low-complexity, compression of three-dimensional volumetric medical images via linear prediction","publication_year":2013,"publication_date":"2013-07-01","ids":{"openalex":"https://openalex.org/W1974782533","doi":"https://doi.org/10.1109/icdsp.2013.6622763","mag":"1974782533"},"language":"en","primary_location":{"id":"doi:10.1109/icdsp.2013.6622763","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdsp.2013.6622763","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 18th International Conference on Digital Signal Processing (DSP)","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/A5073370244","display_name":"Raffaele Pizzolante","orcid":"https://orcid.org/0000-0001-5722-1179"},"institutions":[{"id":"https://openalex.org/I131729948","display_name":"University of Salerno","ror":"https://ror.org/0192m2k53","country_code":"IT","type":"education","lineage":["https://openalex.org/I131729948"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Raffaele Pizzolante","raw_affiliation_strings":["Dipartimento di Informatica, Universit\u00e0 degli Studi di Salerno, Fisciano, Salerno, Italy","Dipt. di Inf., Univ. degli Studi di Salerno, Fisciano, Italy"],"affiliations":[{"raw_affiliation_string":"Dipartimento di Informatica, Universit\u00e0 degli Studi di Salerno, Fisciano, Salerno, Italy","institution_ids":["https://openalex.org/I131729948"]},{"raw_affiliation_string":"Dipt. di Inf., Univ. degli Studi di Salerno, Fisciano, Italy","institution_ids":["https://openalex.org/I131729948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078634144","display_name":"Bruno Carpentieri","orcid":"https://orcid.org/0000-0003-1960-9986"},"institutions":[{"id":"https://openalex.org/I131729948","display_name":"University of Salerno","ror":"https://ror.org/0192m2k53","country_code":"IT","type":"education","lineage":["https://openalex.org/I131729948"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Bruno Carpentieri","raw_affiliation_strings":["Dipartimento di Informatica, Universit\u00e0 degli Studi di Salerno, Fisciano, Salerno, Italy","Dipt. di Inf., Univ. degli Studi di Salerno, Fisciano, Italy"],"affiliations":[{"raw_affiliation_string":"Dipartimento di Informatica, Universit\u00e0 degli Studi di Salerno, Fisciano, Salerno, Italy","institution_ids":["https://openalex.org/I131729948"]},{"raw_affiliation_string":"Dipt. di Inf., Univ. degli Studi di Salerno, Fisciano, Italy","institution_ids":["https://openalex.org/I131729948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5073370244"],"corresponding_institution_ids":["https://openalex.org/I131729948"],"apc_list":null,"apc_paid":null,"fwci":1.0886,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.79479815,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9998000264167786,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9998000264167786,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10741","display_name":"Video Coding and Compression Technologies","score":0.9911999702453613,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/lossless-compression","display_name":"Lossless compression","score":0.9163051843643188},{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.7382516860961914},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7344931364059448},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.7144865989685059},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.65931236743927},{"id":"https://openalex.org/keywords/data-compression-ratio","display_name":"Data compression ratio","score":0.5329649448394775},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.4994161128997803},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.48449966311454773},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.4759269058704376},{"id":"https://openalex.org/keywords/compression-ratio","display_name":"Compression ratio","score":0.46562665700912476},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4185049831867218},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3728046417236328},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3244757652282715},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.18588975071907043},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.11629471182823181}],"concepts":[{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.9163051843643188},{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.7382516860961914},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7344931364059448},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.7144865989685059},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.65931236743927},{"id":"https://openalex.org/C94835093","wikidata":"https://www.wikidata.org/wiki/Q3113333","display_name":"Data compression ratio","level":5,"score":0.5329649448394775},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.4994161128997803},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.48449966311454773},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.4759269058704376},{"id":"https://openalex.org/C25797200","wikidata":"https://www.wikidata.org/wiki/Q828137","display_name":"Compression ratio","level":3,"score":0.46562665700912476},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4185049831867218},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3728046417236328},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3244757652282715},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.18588975071907043},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.11629471182823181},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"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/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/icdsp.2013.6622763","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdsp.2013.6622763","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 18th International Conference on Digital Signal Processing (DSP)","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/W1503140533","https://openalex.org/W1523411787","https://openalex.org/W1534133618","https://openalex.org/W1571468614","https://openalex.org/W1995364496","https://openalex.org/W2002337080","https://openalex.org/W2005825070","https://openalex.org/W2053691921","https://openalex.org/W2095668662","https://openalex.org/W2096445898","https://openalex.org/W2107745473","https://openalex.org/W2122962290","https://openalex.org/W2133045978","https://openalex.org/W2149874402","https://openalex.org/W2150376823","https://openalex.org/W2153638435","https://openalex.org/W2161488606","https://openalex.org/W2161628678","https://openalex.org/W6683504902"],"related_works":["https://openalex.org/W1680283075","https://openalex.org/W2380116549","https://openalex.org/W3202870363","https://openalex.org/W4239869440","https://openalex.org/W2314401560","https://openalex.org/W3080614128","https://openalex.org/W821232595","https://openalex.org/W2071805648","https://openalex.org/W2409003266","https://openalex.org/W4200128017"],"abstract_inverted_index":{"3-D":[0,46,60],"volumetric":[1,47],"medical":[2,48],"images,":[3,14],"as":[4],"for":[5,42,82],"example":[6],"magnetic":[7],"resonance":[8],"(MR)":[9],"and":[10,70,92],"computed":[11],"tomography":[12],"(CT)":[13],"are":[15,65,68],"an":[16,109],"important":[17],"source":[18],"of":[19,45,55,88],"digital":[20],"data":[21,57],"that":[22,50,67],"need":[23],"lossless":[24],"compression":[25,40,44],"to":[26,96],"be":[27,97,108],"stored":[28],"or":[29],"transmitted.":[30],"In":[31],"this":[32],"paper":[33],"we":[34,80],"propose":[35],"a":[36],"low":[37,84],"complexity,":[38,85],"lossless,":[39],"algorithm":[41,79],"the":[43,52,56,74,78],"images":[49],"exploits":[51],"three-dimensional":[53],"nature":[54],"by":[58],"using":[59],"linear":[61],"prediction.":[62],"Experimental":[63],"results":[64],"reported":[66],"comparable,":[69],"in":[71,86,101,103],"average":[72],"outperform,":[73],"state-of-art":[75],"results.":[76],"Moreover":[77],"present,":[81],"its":[83],"terms":[87],"both":[89],"CPU":[90],"usage":[91],"memory,":[93],"is":[94],"suitable":[95],"easily":[98],"used":[99],"also":[100],"situations":[102],"which":[104],"computing":[105],"power":[106],"might":[107],"issue.":[110]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}