{"id":"https://openalex.org/W4391505532","doi":"https://doi.org/10.1109/icassp48485.2024.10446360","title":"Image2Points: A 3D Point-Based Context Clusters GAN for High-Quality Pet Image Reconstruction","display_name":"Image2Points: A 3D Point-Based Context Clusters GAN for High-Quality Pet Image Reconstruction","publication_year":2024,"publication_date":"2024-03-18","ids":{"openalex":"https://openalex.org/W4391505532","doi":"https://doi.org/10.1109/icassp48485.2024.10446360"},"language":"en","primary_location":{"id":"doi:10.1109/icassp48485.2024.10446360","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10446360","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":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2402.00376","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070034237","display_name":"Jiaqi Cui","orcid":null},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiaqi Cui","raw_affiliation_strings":["Sichuan University,School of Computer Science,China"],"affiliations":[{"raw_affiliation_string":"Sichuan University,School of Computer Science,China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100322712","display_name":"Yan Wang","orcid":"https://orcid.org/0000-0002-5344-1884"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Wang","raw_affiliation_strings":["Sichuan University,School of Computer Science,China"],"affiliations":[{"raw_affiliation_string":"Sichuan University,School of Computer Science,China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100584017","display_name":"Wen Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lu Wen","raw_affiliation_strings":["Sichuan University,School of Computer Science,China"],"affiliations":[{"raw_affiliation_string":"Sichuan University,School of Computer Science,China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006002666","display_name":"Pinxian Zeng","orcid":"https://orcid.org/0000-0001-7286-974X"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pinxian Zeng","raw_affiliation_strings":["Sichuan University,School of Computer Science,China"],"affiliations":[{"raw_affiliation_string":"Sichuan University,School of Computer Science,China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016717123","display_name":"Xi Wu","orcid":"https://orcid.org/0000-0002-6039-1977"},"institutions":[{"id":"https://openalex.org/I24201400","display_name":"Chengdu University of Information Technology","ror":"https://ror.org/01yxwrh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I24201400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xi Wu","raw_affiliation_strings":["Chengdu University of Information Technology,School of Computer Science,China"],"affiliations":[{"raw_affiliation_string":"Chengdu University of Information Technology,School of Computer Science,China","institution_ids":["https://openalex.org/I24201400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089126739","display_name":"Jiliu Zhou","orcid":"https://orcid.org/0000-0003-4659-8549"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiliu Zhou","raw_affiliation_strings":["Sichuan University,School of Computer Science,China"],"affiliations":[{"raw_affiliation_string":"Sichuan University,School of Computer Science,China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000937401","display_name":"Dinggang Shen","orcid":"https://orcid.org/0000-0002-7934-5698"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dinggang Shen","raw_affiliation_strings":["ShanghaiTech University,School of Biomedical Engineering,China"],"affiliations":[{"raw_affiliation_string":"ShanghaiTech University,School of Biomedical Engineering,China","institution_ids":["https://openalex.org/I30809798"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5070034237"],"corresponding_institution_ids":["https://openalex.org/I24185976"],"apc_list":null,"apc_paid":null,"fwci":3.8514,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.93292658,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1726","last_page":"1730"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","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/T10522","display_name":"Medical Imaging Techniques and Applications","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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9962999820709229,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9922000169754028,"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/context","display_name":"Context (archaeology)","score":0.7587674856185913},{"id":"https://openalex.org/keywords/voxel","display_name":"Voxel","score":0.7413116693496704},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6794036626815796},{"id":"https://openalex.org/keywords/positron-emission-tomography","display_name":"Positron emission tomography","score":0.6449703574180603},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.6253080368041992},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5940773487091064},{"id":"https://openalex.org/keywords/imaging-phantom","display_name":"Imaging phantom","score":0.5809409618377686},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5742047429084778},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5673158764839172},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.565069317817688},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5441100001335144},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.48066413402557373},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4349070191383362},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.4289625883102417},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4055604934692383},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33408665657043457},{"id":"https://openalex.org/keywords/nuclear-medicine","display_name":"Nuclear medicine","score":0.25632554292678833},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19181448221206665},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.15934151411056519},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.0900183916091919},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.07555818557739258},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.061231762170791626}],"concepts":[{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.7587674856185913},{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.7413116693496704},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6794036626815796},{"id":"https://openalex.org/C2775842073","wikidata":"https://www.wikidata.org/wiki/Q208376","display_name":"Positron emission tomography","level":2,"score":0.6449703574180603},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.6253080368041992},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5940773487091064},{"id":"https://openalex.org/C104293457","wikidata":"https://www.wikidata.org/wiki/Q28324852","display_name":"Imaging phantom","level":2,"score":0.5809409618377686},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5742047429084778},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5673158764839172},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.565069317817688},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5441100001335144},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48066413402557373},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4349070191383362},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.4289625883102417},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4055604934692383},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33408665657043457},{"id":"https://openalex.org/C2989005","wikidata":"https://www.wikidata.org/wiki/Q214963","display_name":"Nuclear medicine","level":1,"score":0.25632554292678833},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19181448221206665},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.15934151411056519},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0900183916091919},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.07555818557739258},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.061231762170791626},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp48485.2024.10446360","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10446360","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"},{"id":"pmh:oai:arXiv.org:2402.00376","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2402.00376","pdf_url":"https://arxiv.org/pdf/2402.00376","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2402.00376","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2402.00376","pdf_url":"https://arxiv.org/pdf/2402.00376","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.7900000214576721}],"awards":[{"id":"https://openalex.org/G2182196317","display_name":null,"funder_award_id":"62071314","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G332008528","display_name":null,"funder_award_id":"NSFC 62371325","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5037336824","display_name":null,"funder_award_id":"2023YFG0025","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6622944791","display_name":null,"funder_award_id":"62371325","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4391505532.pdf"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W2118246710","https://openalex.org/W2120266091","https://openalex.org/W2122394188","https://openalex.org/W2134495751","https://openalex.org/W2729145866","https://openalex.org/W2789588857","https://openalex.org/W2963385325","https://openalex.org/W3007486523","https://openalex.org/W3109862379","https://openalex.org/W3199463036","https://openalex.org/W3200891683","https://openalex.org/W3212933375","https://openalex.org/W4214832630","https://openalex.org/W4224996716","https://openalex.org/W4244821078","https://openalex.org/W4285799895","https://openalex.org/W4291415137","https://openalex.org/W4319299898","https://openalex.org/W4372260130","https://openalex.org/W4372346797","https://openalex.org/W4386222453","https://openalex.org/W4387211609","https://openalex.org/W6850445660"],"related_works":["https://openalex.org/W29630554","https://openalex.org/W2015071354","https://openalex.org/W2062195871","https://openalex.org/W2073031339","https://openalex.org/W4391915433","https://openalex.org/W2061271245","https://openalex.org/W2365285804","https://openalex.org/W2620851791","https://openalex.org/W2144778520","https://openalex.org/W2757389719"],"abstract_inverted_index":{"To":[0],"obtain":[1],"high-quality":[2,70],"Positron":[3],"emission":[4],"tomography":[5],"(PET)":[6],"images":[7,22,72],"while":[8],"minimizing":[9],"radiation":[10],"exposure,":[11],"numerous":[12],"methods":[13,32,146],"have":[14],"been":[15],"proposed":[16],"to":[17,52,68,86,90,113],"reconstruct":[18,69],"standard-dose":[19],"PET":[20,27],"(SPET)":[21],"from":[23,73],"the":[24,45,78,92,96,101,115,122,128,143],"corresponding":[25],"low-dose":[26],"(LPET)":[28],"images.":[29,130],"However,":[30],"these":[31],"heavily":[33],"rely":[34],"on":[35,132],"voxel-based":[36],"representations,":[37],"which":[38,120],"fall":[39],"short":[40],"of":[41,82,95,124],"adequately":[42],"accounting":[43],"for":[44],"precise":[46],"structure":[47],"and":[48,135,148],"fine-grained":[49],"context,":[50],"leading":[51],"compromised":[53],"reconstruction.":[54],"In":[55],"this":[56],"paper,":[57],"we":[58,84],"propose":[59],"a":[60,87,107],"3D":[61],"point-based":[62,88],"context":[63,108],"clusters":[64],"GAN,":[65],"namely":[66],"PCC-GAN,":[67],"SPET":[71],"LPET.":[74],"Specifically,":[75],"inspired":[76],"by":[77],"geometric":[79],"representation":[80,89],"power":[81],"points,":[83,119],"resort":[85],"enhance":[91],"explicit":[93],"expression":[94],"image":[97],"structure,":[98],"thus":[99],"facilitating":[100],"reconstruction":[102,145],"with":[103],"finer":[104],"details.":[105],"Moreover,":[106],"clustering":[109],"strategy":[110],"is":[111,151],"applied":[112],"explore":[114],"contextual":[116],"relationships":[117],"among":[118],"mitigates":[121],"ambiguities":[123],"small":[125],"structures":[126],"in":[127],"reconstructed":[129],"Experiments":[131],"both":[133],"clinical":[134],"phantom":[136],"datasets":[137],"demonstrate":[138],"that":[139],"our":[140],"PCC-GAN":[141],"outperforms":[142],"state-of-the-art":[144],"qualitatively":[147],"quantitatively.":[149],"Code":[150],"available":[152],"at":[153],"https://github.com/gluucose/PCCGAN.":[154]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5}],"updated_date":"2026-04-23T09:07:50.710637","created_date":"2025-10-10T00:00:00"}