{"id":"https://openalex.org/W4392903613","doi":"https://doi.org/10.1109/icassp48485.2024.10448476","title":"CT and MRI Fusion with Anisotropic Guided Filtering","display_name":"CT and MRI Fusion with Anisotropic Guided Filtering","publication_year":2024,"publication_date":"2024-03-18","ids":{"openalex":"https://openalex.org/W4392903613","doi":"https://doi.org/10.1109/icassp48485.2024.10448476"},"language":"en","primary_location":{"id":"doi:10.1109/icassp48485.2024.10448476","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icassp48485.2024.10448476","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5046978395","display_name":"Yuping Huang","orcid":"https://orcid.org/0000-0002-2215-5826"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuping Huang","raw_affiliation_strings":["Chongqing University of Posts and Telecommunications,Chongqing Key Laboratory of Image Cognition,Chongqing,China,400065"],"affiliations":[{"raw_affiliation_string":"Chongqing University of Posts and Telecommunications,Chongqing Key Laboratory of Image Cognition,Chongqing,China,400065","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058194445","display_name":"Weisheng Li","orcid":"https://orcid.org/0000-0002-9033-8245"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weisheng Li","raw_affiliation_strings":["Chongqing University of Posts and Telecommunications,Chongqing Key Laboratory of Image Cognition,Chongqing,China,400065"],"affiliations":[{"raw_affiliation_string":"Chongqing University of Posts and Telecommunications,Chongqing Key Laboratory of Image Cognition,Chongqing,China,400065","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085004042","display_name":"Guofen Wang","orcid":"https://orcid.org/0000-0003-1290-1829"},"institutions":[{"id":"https://openalex.org/I126924076","display_name":"Chongqing Normal University","ror":"https://ror.org/01dcw5w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I126924076"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guofen Wang","raw_affiliation_strings":["Chongqing Normal University,College of Computer and Information Science,Chongqing,China,400065"],"affiliations":[{"raw_affiliation_string":"Chongqing Normal University,College of Computer and Information Science,Chongqing,China,400065","institution_ids":["https://openalex.org/I126924076"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039824031","display_name":"Xiaoyu Qiao","orcid":"https://orcid.org/0000-0002-4849-1051"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyu Qiao","raw_affiliation_strings":["Chongqing University of Posts and Telecommunications,Chongqing Key Laboratory of Image Cognition,Chongqing,China,400065"],"affiliations":[{"raw_affiliation_string":"Chongqing University of Posts and Telecommunications,Chongqing Key Laboratory of Image Cognition,Chongqing,China,400065","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101568708","display_name":"Huanyu Chen","orcid":"https://orcid.org/0000-0002-0055-8034"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huanyu Chen","raw_affiliation_strings":["Chongqing University of Posts and Telecommunications,Chongqing Key Laboratory of Image Cognition,Chongqing,China,400065"],"affiliations":[{"raw_affiliation_string":"Chongqing University of Posts and Telecommunications,Chongqing Key Laboratory of Image Cognition,Chongqing,China,400065","institution_ids":["https://openalex.org/I10535382"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5046978395"],"corresponding_institution_ids":["https://openalex.org/I10535382"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08156333,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1716","last_page":"1720"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T11019","display_name":"Image Enhancement Techniques","score":0.9988999962806702,"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":0.9976999759674072,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7123969197273254},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6613906025886536},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.618401050567627},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5758614540100098},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.5544492602348328},{"id":"https://openalex.org/keywords/anisotropic-diffusion","display_name":"Anisotropic diffusion","score":0.520744800567627},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.457963764667511},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42766958475112915},{"id":"https://openalex.org/keywords/diffusion-mri","display_name":"Diffusion MRI","score":0.426656574010849},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.4207276701927185},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.41652822494506836},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.1946437656879425},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.10072579979896545}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7123969197273254},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6613906025886536},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.618401050567627},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5758614540100098},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.5544492602348328},{"id":"https://openalex.org/C203504353","wikidata":"https://www.wikidata.org/wiki/Q4765461","display_name":"Anisotropic diffusion","level":3,"score":0.520744800567627},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.457963764667511},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42766958475112915},{"id":"https://openalex.org/C149550507","wikidata":"https://www.wikidata.org/wiki/Q899360","display_name":"Diffusion MRI","level":3,"score":0.426656574010849},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.4207276701927185},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.41652822494506836},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.1946437656879425},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.10072579979896545},{"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/icassp48485.2024.10448476","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icassp48485.2024.10448476","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/W1997596006","https://openalex.org/W2009758395","https://openalex.org/W2116702374","https://openalex.org/W2133665775","https://openalex.org/W2153777140","https://openalex.org/W2589073776","https://openalex.org/W2744198280","https://openalex.org/W2906859782","https://openalex.org/W2974321789","https://openalex.org/W3014859219","https://openalex.org/W3126442124","https://openalex.org/W3171420223","https://openalex.org/W3181367324","https://openalex.org/W4213360337","https://openalex.org/W4224923657","https://openalex.org/W4226178544","https://openalex.org/W4285278336","https://openalex.org/W4285291903","https://openalex.org/W4386076504"],"related_works":["https://openalex.org/W2385859805","https://openalex.org/W2530972254","https://openalex.org/W2374013449","https://openalex.org/W73545470","https://openalex.org/W2365492952","https://openalex.org/W2364381299","https://openalex.org/W2374430585","https://openalex.org/W1768769760","https://openalex.org/W2413360119","https://openalex.org/W4306167646"],"abstract_inverted_index":{"The":[0,68,122],"combination":[1,141],"of":[2,11,32,48,124,142],"CT":[3],"and":[4,82,144],"MRI":[5],"can":[6],"provide":[7],"more":[8],"accurate":[9],"images":[10],"lesions,":[12],"yielding":[13],"a":[14,41,140],"significantly":[15],"higher":[16],"diagnostic":[17],"value":[18],"compared":[19],"to":[20,58,78,100,108],"single-modality":[21],"pathological":[22],"images.":[23],"However,":[24],"in":[25,62,130],"CT-MRI":[26],"fusion,":[27],"preserving":[28,131],"the":[29,33,46,65,76,85,102,105,109],"gray-scale":[30],"distribution":[31],"source":[34,86,106],"image":[35,87,107,127],"while":[36,112],"avoiding":[37],"\u2018detail":[38],"halos\u2019":[39],"poses":[40],"challenge.":[42],"Therefore,":[43],"we":[44],"propose":[45],"utilization":[47],"anisotropic":[49],"guided":[50],"filtering":[51],"(AnisGF),":[52],"which":[53],"exhibits":[54],"excellent":[55],"edge-preservation":[56],"properties,":[57],"address":[59],"structural":[60],"inconsistencies":[61],"regions":[63],"between":[64,120],"two":[66],"modalities.":[67],"local":[69,118],"neighborhood":[70],"variance":[71],"is":[72,98,114],"utilized":[73,115],"for":[74,116],"optimizing":[75],"weight":[77,110],"achieve":[79],"maximum":[80],"diffusion,":[81],"subsequently":[83],"decomposing":[84],"based":[88],"on":[89],"this":[90,125],"criterion.":[91],"A":[92],"pre-trained":[93],"convolutional":[94],"neural":[95],"network":[96],"(CNN)":[97],"employed":[99],"accomplish":[101],"mapping":[103],"from":[104],"map,":[111],"AnisGF":[113],"maintaining":[117],"consistency":[119],"them.":[121],"efficacy":[123],"novel":[126],"fusion":[128],"algorithm":[129],"intricate":[132],"details":[133],"without":[134],"compromising":[135],"has":[136],"been":[137],"demonstrated":[138],"through":[139],"qualitative":[143],"quantitative":[145],"experiments.":[146]},"counts_by_year":[],"updated_date":"2025-12-25T23:11:45.687758","created_date":"2025-10-10T00:00:00"}
