{"id":"https://openalex.org/W4413757748","doi":"https://doi.org/10.3390/jimaging11090292","title":"E-CMCA and LSTM-Enhanced Framework for Cross-Modal MRI-TRUS Registration in Prostate Cancer","display_name":"E-CMCA and LSTM-Enhanced Framework for Cross-Modal MRI-TRUS Registration in Prostate Cancer","publication_year":2025,"publication_date":"2025-08-27","ids":{"openalex":"https://openalex.org/W4413757748","doi":"https://doi.org/10.3390/jimaging11090292","pmid":"https://pubmed.ncbi.nlm.nih.gov/41003343"},"language":"en","primary_location":{"id":"doi:10.3390/jimaging11090292","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jimaging11090292","pdf_url":"https://www.mdpi.com/2313-433X/11/9/292/pdf?version=1756353761","source":{"id":"https://openalex.org/S2736465063","display_name":"Journal of Imaging","issn_l":"2313-433X","issn":["2313-433X"],"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":"Journal of Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2313-433X/11/9/292/pdf?version=1756353761","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5111323470","display_name":"Ciliang Shao","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":"Ciliang Shao","raw_affiliation_strings":["Pittsburgh Institute, Sichuan University, Chengdu 610207, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pittsburgh Institute, Sichuan University, Chengdu 610207, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108330089","display_name":"Ruijin Xue","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":"Ruijin Xue","raw_affiliation_strings":["Pittsburgh Institute, Sichuan University, Chengdu 610207, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pittsburgh Institute, Sichuan University, Chengdu 610207, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022846767","display_name":"Lixu Gu","orcid":"https://orcid.org/0000-0002-6210-4847"},"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":"Lixu Gu","raw_affiliation_strings":["Pittsburgh Institute, Sichuan University, Chengdu 610207, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pittsburgh Institute, Sichuan University, Chengdu 610207, China","institution_ids":["https://openalex.org/I24185976"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5022846767"],"corresponding_institution_ids":["https://openalex.org/I24185976"],"apc_list":{"value":1600,"currency":"CHF","value_usd":1732},"apc_paid":{"value":1600,"currency":"CHF","value_usd":1732},"fwci":1.5311,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.84527733,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"11","issue":"9","first_page":"292","last_page":"292"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9987999796867371,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9987999796867371,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9927999973297119,"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/T10124","display_name":"Prostate Cancer Diagnosis and Treatment","score":0.9909999966621399,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/prostate-cancer","display_name":"Prostate cancer","score":0.6966447830200195},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.5278900861740112},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.5157971382141113},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.5133480429649353},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.48977160453796387},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.4588170647621155},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4000755548477173},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.3472452759742737},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32867103815078735},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.1601048707962036},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.0623127818107605}],"concepts":[{"id":"https://openalex.org/C2780192828","wikidata":"https://www.wikidata.org/wiki/Q181257","display_name":"Prostate cancer","level":3,"score":0.6966447830200195},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.5278900861740112},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.5157971382141113},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.5133480429649353},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.48977160453796387},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.4588170647621155},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4000755548477173},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.3472452759742737},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32867103815078735},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.1601048707962036},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0623127818107605},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/jimaging11090292","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jimaging11090292","pdf_url":"https://www.mdpi.com/2313-433X/11/9/292/pdf?version=1756353761","source":{"id":"https://openalex.org/S2736465063","display_name":"Journal of Imaging","issn_l":"2313-433X","issn":["2313-433X"],"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":"Journal of Imaging","raw_type":"journal-article"},{"id":"pmid:41003343","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41003343","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of imaging","raw_type":null},{"id":"pmh:oai:doaj.org/article:0aac8edd150f4859b36c4fb9255d201a","is_oa":true,"landing_page_url":"https://doaj.org/article/0aac8edd150f4859b36c4fb9255d201a","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":"Journal of Imaging, Vol 11, Iss 9, p 292 (2025)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:11278519","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/12471084","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"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":null,"raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:12471084","is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC12471084/","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"J Imaging","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/jimaging11090292","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jimaging11090292","pdf_url":"https://www.mdpi.com/2313-433X/11/9/292/pdf?version=1756353761","source":{"id":"https://openalex.org/S2736465063","display_name":"Journal of Imaging","issn_l":"2313-433X","issn":["2313-433X"],"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":"Journal of Imaging","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4413757748.pdf"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1975467353","https://openalex.org/W2019836674","https://openalex.org/W2097117768","https://openalex.org/W2752782242","https://openalex.org/W2816936748","https://openalex.org/W2891590469","https://openalex.org/W2891631795","https://openalex.org/W2962767316","https://openalex.org/W3013056581","https://openalex.org/W3092614481","https://openalex.org/W3104164805","https://openalex.org/W3199360076","https://openalex.org/W4226497331","https://openalex.org/W4295129660","https://openalex.org/W4379879391","https://openalex.org/W4396717790","https://openalex.org/W4400080373","https://openalex.org/W4401243033","https://openalex.org/W4404212754","https://openalex.org/W4404442803","https://openalex.org/W4410296303"],"related_works":["https://openalex.org/W299695548","https://openalex.org/W4403381637","https://openalex.org/W2384122898","https://openalex.org/W151774199","https://openalex.org/W2257755506","https://openalex.org/W4281885123","https://openalex.org/W2345040638","https://openalex.org/W3171449477","https://openalex.org/W209797606","https://openalex.org/W2087041286"],"abstract_inverted_index":{"Accurate":[0],"registration":[1,37,120,132,177],"of":[2,151,154,157,162],"MRI":[3],"and":[4,14,20,51,63,94,122,129,160,167,174],"TRUS":[5],"images":[6],"is":[7],"crucial":[8],"for":[9,101],"effective":[10],"prostate":[11],"cancer":[12],"diagnosis":[13],"biopsy":[15],"guidance,":[16],"yet":[17],"modality":[18],"differences":[19],"non-rigid":[21],"deformations":[22],"pose":[23],"significant":[24],"challenges,":[25],"especially":[26],"in":[27,125,170],"dynamic":[28,130,175],"imaging.":[29],"This":[30],"study":[31],"presents":[32],"a":[33,40,52,95,149],"novel":[34],"cross-modal":[35,66],"MRI-TRUS":[36],"framework,":[38],"leveraging":[39],"dual-encoder":[41],"architecture":[42],"with":[43],"an":[44],"Enhanced":[45],"Cross-Modal":[46],"Channel":[47],"Attention":[48],"(E-CMCA)":[49],"module":[50,60],"LSTM-Based":[53,70],"Spatial":[54,71],"Deformation":[55,72],"Modeling":[56,73],"Module.":[57],"The":[58],"E-CMCA":[59],"efficiently":[61],"extracts":[62],"integrates":[64],"multi-scale":[65],"features,":[67],"while":[68],"the":[69,106,110,136,140],"Module":[74],"models":[75],"temporal":[76],"dynamics":[77],"by":[78],"processing":[79],"depth-sliced":[80],"3D":[81,128,173],"deformation":[82],"fields":[83],"as":[84],"sequential":[85],"data.":[86],"A":[87],"VecInt":[88],"operation":[89],"ensures":[90],"smooth,":[91],"diffeomorphic":[92],"transformations,":[93],"FuseConv":[96],"layer":[97],"enhances":[98],"feature":[99],"integration":[100],"precise":[102],"alignment.":[103],"Experiments":[104,134],"on":[105,135],"\u03bc-RegPro":[107,137],"dataset":[108,138],"from":[109,139],"MICCAI":[111,141],"2023":[112,142],"Challenge":[113,143],"demonstrate":[114,144],"that":[115,145],"our":[116,146],"model":[117,147],"significantly":[118],"improves":[119],"accuracy":[121],"performs":[123],"robustly":[124,169],"both":[126,171],"static":[127,172],"4D":[131,176],"tasks.":[133,178],"achieves":[148],"DSC":[150],"0.865,":[152],"RDSC":[153],"0.898,":[155],"TRE":[156],"2.278":[158],"mm,":[159],"RTRE":[161],"1.293,":[163],"surpassing":[164],"state-of-the-art":[165],"methods":[166],"performing":[168]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}