{"id":"https://openalex.org/W3081422575","doi":"https://doi.org/10.3390/e22090944","title":"Identification of Denatured Biological Tissues Based on Compressed Sensing and Improved Multiscale Dispersion Entropy during HIFU Treatment","display_name":"Identification of Denatured Biological Tissues Based on Compressed Sensing and Improved Multiscale Dispersion Entropy during HIFU Treatment","publication_year":2020,"publication_date":"2020-08-27","ids":{"openalex":"https://openalex.org/W3081422575","doi":"https://doi.org/10.3390/e22090944","mag":"3081422575"},"language":"en","primary_location":{"id":"doi:10.3390/e22090944","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e22090944","pdf_url":"https://www.mdpi.com/1099-4300/22/9/944/pdf?version=1598588323","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1099-4300/22/9/944/pdf?version=1598588323","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100378248","display_name":"Bei Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I196038209","display_name":"Hunan University of Arts and Science","ror":"https://ror.org/01ggnn306","country_code":"CN","type":"education","lineage":["https://openalex.org/I196038209"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bei Liu","raw_affiliation_strings":["College of Mathematics and Physics, Hunan University of Arts and Science, Changde 415000, China"],"affiliations":[{"raw_affiliation_string":"College of Mathematics and Physics, Hunan University of Arts and Science, Changde 415000, China","institution_ids":["https://openalex.org/I196038209"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049658962","display_name":"Runmin Wang","orcid":"https://orcid.org/0000-0001-9687-9918"},"institutions":[{"id":"https://openalex.org/I3130607311","display_name":"Changsha Normal University","ror":"https://ror.org/02sqk3z62","country_code":"CN","type":"education","lineage":["https://openalex.org/I3130607311"]},{"id":"https://openalex.org/I173759888","display_name":"Hunan Normal University","ror":"https://ror.org/053w1zy07","country_code":"CN","type":"education","lineage":["https://openalex.org/I173759888"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Runmin Wang","raw_affiliation_strings":["College of Information Science and Engineering, Hunan Normal University, Changsha 410081, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Hunan Normal University, Changsha 410081, China","institution_ids":["https://openalex.org/I3130607311","https://openalex.org/I173759888"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001507891","display_name":"Ziqi Peng","orcid":"https://orcid.org/0000-0002-8494-8434"},"institutions":[{"id":"https://openalex.org/I196038209","display_name":"Hunan University of Arts and Science","ror":"https://ror.org/01ggnn306","country_code":"CN","type":"education","lineage":["https://openalex.org/I196038209"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziqi Peng","raw_affiliation_strings":["College of Mathematics and Physics, Hunan University of Arts and Science, Changde 415000, China"],"affiliations":[{"raw_affiliation_string":"College of Mathematics and Physics, Hunan University of Arts and Science, Changde 415000, China","institution_ids":["https://openalex.org/I196038209"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001165837","display_name":"Lingjie Qin","orcid":null},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]},{"id":"https://openalex.org/I119273862","display_name":"Central South University of Forestry and Technology","ror":"https://ror.org/02czw2k81","country_code":"CN","type":"education","lineage":["https://openalex.org/I119273862"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingjie Qin","raw_affiliation_strings":["School of Computer and Information Engineering, Central South University of Forestry and Technology, Changsha 410000, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering, Central South University of Forestry and Technology, Changsha 410000, China","institution_ids":["https://openalex.org/I119273862","https://openalex.org/I139660479"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5049658962"],"corresponding_institution_ids":["https://openalex.org/I173759888","https://openalex.org/I3130607311"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":0.5567,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.70638604,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"22","issue":"9","first_page":"944","last_page":"944"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10727","display_name":"Ultrasound Imaging and Elastography","score":0.9998000264167786,"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/T10727","display_name":"Ultrasound Imaging and Elastography","score":0.9998000264167786,"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/T10662","display_name":"Ultrasonics and Acoustic Wave Propagation","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5479214191436768},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5277522206306458},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4681304693222046},{"id":"https://openalex.org/keywords/ultrasonic-sensor","display_name":"Ultrasonic sensor","score":0.4651103615760803},{"id":"https://openalex.org/keywords/biological-tissue","display_name":"Biological tissue","score":0.4108502268791199},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4012661576271057},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.34124991297721863},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.3371506929397583},{"id":"https://openalex.org/keywords/biomedical-engineering","display_name":"Biomedical engineering","score":0.32990407943725586},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.17102819681167603}],"concepts":[{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5479214191436768},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5277522206306458},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4681304693222046},{"id":"https://openalex.org/C81288441","wikidata":"https://www.wikidata.org/wiki/Q20736125","display_name":"Ultrasonic sensor","level":2,"score":0.4651103615760803},{"id":"https://openalex.org/C2983453321","wikidata":"https://www.wikidata.org/wiki/Q40397","display_name":"Biological tissue","level":2,"score":0.4108502268791199},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4012661576271057},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.34124991297721863},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.3371506929397583},{"id":"https://openalex.org/C136229726","wikidata":"https://www.wikidata.org/wiki/Q327092","display_name":"Biomedical engineering","level":1,"score":0.32990407943725586},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.17102819681167603},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/e22090944","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e22090944","pdf_url":"https://www.mdpi.com/1099-4300/22/9/944/pdf?version=1598588323","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:30929b933b6a4df8acf85b87def33316","is_oa":true,"landing_page_url":"https://doaj.org/article/30929b933b6a4df8acf85b87def33316","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy, Vol 22, Iss 9, p 944 (2020)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1099-4300/22/9/944/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/e22090944","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy; Volume 22; Issue 9; Pages: 944","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:7597216","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7597216","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/e22090944","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e22090944","pdf_url":"https://www.mdpi.com/1099-4300/22/9/944/pdf?version=1598588323","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3081422575.pdf","grobid_xml":"https://content.openalex.org/works/W3081422575.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W127139485","https://openalex.org/W1530771926","https://openalex.org/W1964221192","https://openalex.org/W1971644824","https://openalex.org/W1979921670","https://openalex.org/W1980154864","https://openalex.org/W2007221293","https://openalex.org/W2022209871","https://openalex.org/W2031341271","https://openalex.org/W2041287404","https://openalex.org/W2042348769","https://openalex.org/W2061315188","https://openalex.org/W2064898721","https://openalex.org/W2074876225","https://openalex.org/W2080121525","https://openalex.org/W2099471313","https://openalex.org/W2151380615","https://openalex.org/W2167096638","https://openalex.org/W2274302816","https://openalex.org/W2322045482","https://openalex.org/W2333775360","https://openalex.org/W2339670543","https://openalex.org/W2521629941","https://openalex.org/W2528633199","https://openalex.org/W2605732857","https://openalex.org/W2610099500","https://openalex.org/W2793818040","https://openalex.org/W2795844376","https://openalex.org/W2890838230","https://openalex.org/W2909486758","https://openalex.org/W2974377656","https://openalex.org/W2995557715","https://openalex.org/W3018171368","https://openalex.org/W3112093680"],"related_works":["https://openalex.org/W2618703391","https://openalex.org/W2361945759","https://openalex.org/W1934323445","https://openalex.org/W2349331384","https://openalex.org/W2033547812","https://openalex.org/W2380594826","https://openalex.org/W2031629218","https://openalex.org/W4238525810","https://openalex.org/W4247875078","https://openalex.org/W4238161731"],"abstract_inverted_index":{"Identification":[0],"of":[1,45,56,60,101,106,112,141,151,157,170,199,211,221],"denatured":[2,158,171,241],"biological":[3,190],"tissue":[4,191],"is":[5,39,65,192,201,213,223],"crucial":[6],"to":[7,41,67,137,187,243],"high-intensity":[8],"focused":[9],"ultrasound":[10],"(HIFU)":[11],"treatment,":[12],"which":[13,97],"can":[14,73,184,235],"monitor":[15],"HIFU":[16,51,250],"treatment":[17,20],"and":[18,33,133,154,167,181,203,217,240],"improve":[19],"efficiency.":[21],"In":[22,53,103,130],"this":[23],"paper,":[24],"a":[25],"novel":[26],"method":[27,59,115,126,183],"based":[28],"on":[29],"compressed":[30],"sensing":[31],"(CS)":[32],"improved":[34],"multiscale":[35,84,95,196],"dispersion":[36,85],"entropy":[37,86,110,197],"(IMDE)":[38],"proposed":[40],"evaluate":[42],"the":[43,54,58,69,75,90,94,99,104,109,113,124,138,165,179,195,218],"complexity":[44],"ultrasonic":[46,76,142],"scattered":[47,77,143],"echo":[48,78,144],"signals":[49,145],"during":[50,249],"treatment.":[52,251],"analysis":[55,105],"CS,":[57],"orthogonal":[61],"matching":[62],"pursuit":[63],"(OMP)":[64],"employed":[66],"reconstruct":[68],"denoised":[70],"signal.":[71],"CS-OMP":[72],"denoise":[74],"signal":[79],"effectively.":[80],"Comparing":[81],"with":[82,120],"traditional":[83],"(MDE),":[87],"IMDE":[88,114,125,134,168,182,200,212,222,234],"improves":[89,98],"coarse-grained":[91],"process":[92],"in":[93],"analysis,":[96],"stability":[100],"MDE.":[102,207],"simulated":[107],"signals,":[108],"value":[111],"has":[116,127],"less":[117,224],"fluctuation":[118],"compared":[119],"MDE,":[121,216],"indicating":[122],"that":[123,164,233],"better":[128,236],"stability.":[129],"addition,":[131],"MDE":[132,166,180,226],"are":[135,173],"applied":[136],"300":[139],"cases":[140,150,156],"after":[146],"denoising":[147],"(including":[148],"150":[149,155],"normal":[152,176,238],"tissues":[153,172,239,242],"tissues).":[159],"The":[160,208],"experimental":[161],"results":[162],"show":[163],"values":[169],"higher":[174],"than":[175,206,215,225],"tissues.":[177],"Both":[178],"be":[185],"used":[186],"identify":[188],"whether":[189],"denatured.":[193],"However,":[194],"curve":[198],"smoother":[202],"more":[204,245],"stable":[205],"interclass":[209],"distance":[210,220],"greater":[214],"intraclass":[219],"at":[227],"different":[228],"scale":[229],"factors.":[230],"This":[231],"indicates":[232],"distinguish":[237],"obtain":[244],"accurate":[246],"clinical":[247],"diagnosis":[248]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}