{"id":"https://openalex.org/W4412939832","doi":"https://doi.org/10.1109/tmi.2025.3595367","title":"A Wasserstein-Space-Based Framework for Processing Fiber Orientation Geometry in Diffusion MRI","display_name":"A Wasserstein-Space-Based Framework for Processing Fiber Orientation Geometry in Diffusion MRI","publication_year":2025,"publication_date":"2025-08-04","ids":{"openalex":"https://openalex.org/W4412939832","doi":"https://doi.org/10.1109/tmi.2025.3595367","pmid":"https://pubmed.ncbi.nlm.nih.gov/40758496"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2025.3595367","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2025.3595367","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC12860900/","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5030043177","display_name":"Xinyu Nie","orcid":"https://orcid.org/0009-0006-0969-9411"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xinyu Nie","raw_affiliation_strings":["Ming Hsieh Department of Electrical and Computer Engineering, Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, USA","Ming Hsieh Department of Electrical and Computer Engineering of Viterbi School of Engineering, Stevens Neuroimaging and Informatics Institute of Keck School of Medicine, University of Southern California, Los Angeles, CA, USA"],"raw_orcid":"https://orcid.org/0009-0006-0969-9411","affiliations":[{"raw_affiliation_string":"Ming Hsieh Department of Electrical and Computer Engineering, Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]},{"raw_affiliation_string":"Ming Hsieh Department of Electrical and Computer Engineering of Viterbi School of Engineering, Stevens Neuroimaging and Informatics Institute of Keck School of Medicine, University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090261504","display_name":"Yonggang Shi","orcid":"https://orcid.org/0000-0002-3466-4302"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yonggang Shi","raw_affiliation_strings":["Ming Hsieh Department of Electrical and Computer Engineering, and the Alfred E. Mann Department of Biomedical Engineering, Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, USA","Ming Hsieh Department of Electrical and Computer Engineering of Viterbi School of Engineering, Stevens Neuroimaging and Informatics Institute of Keck School of Medicine, University of Southern California, Los Angeles, CA, USA"],"raw_orcid":"https://orcid.org/0000-0002-3466-4302","affiliations":[{"raw_affiliation_string":"Ming Hsieh Department of Electrical and Computer Engineering, and the Alfred E. Mann Department of Biomedical Engineering, Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]},{"raw_affiliation_string":"Ming Hsieh Department of Electrical and Computer Engineering of Viterbi School of Engineering, Stevens Neuroimaging and Informatics Institute of Keck School of Medicine, University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1174212"],"apc_list":null,"apc_paid":null,"fwci":0.8661,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.75659078,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"45","issue":"1","first_page":"243","last_page":"256"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":0.9973000288009644,"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/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":0.9973000288009644,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.980400025844574,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9747999906539917,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/diffusion-mri","display_name":"Diffusion MRI","score":0.6715734004974365},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.631868302822113},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.5223825573921204},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.5049756169319153},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.4826555848121643},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.45806553959846497},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.42890557646751404},{"id":"https://openalex.org/keywords/fiber","display_name":"Fiber","score":0.42317378520965576},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.39793750643730164},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3542609214782715},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24260324239730835},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.21447670459747314},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.20367181301116943},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.16333791613578796},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.15673419833183289},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.08862999081611633},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.07606804370880127}],"concepts":[{"id":"https://openalex.org/C149550507","wikidata":"https://www.wikidata.org/wiki/Q899360","display_name":"Diffusion MRI","level":3,"score":0.6715734004974365},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.631868302822113},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.5223825573921204},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.5049756169319153},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.4826555848121643},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.45806553959846497},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.42890557646751404},{"id":"https://openalex.org/C519885992","wikidata":"https://www.wikidata.org/wiki/Q161","display_name":"Fiber","level":2,"score":0.42317378520965576},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.39793750643730164},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3542609214782715},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24260324239730835},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.21447670459747314},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.20367181301116943},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.16333791613578796},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.15673419833183289},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.08862999081611633},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.07606804370880127},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000544","descriptor_name":"Alzheimer Disease","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D000544","descriptor_name":"Alzheimer Disease","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D000544","descriptor_name":"Alzheimer Disease","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D000544","descriptor_name":"Alzheimer Disease","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D000544","descriptor_name":"Alzheimer Disease","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D038524","descriptor_name":"Diffusion Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D038524","descriptor_name":"Diffusion Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D038524","descriptor_name":"Diffusion Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D038524","descriptor_name":"Diffusion Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D038524","descriptor_name":"Diffusion Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D056324","descriptor_name":"Diffusion Tensor Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D056324","descriptor_name":"Diffusion Tensor Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D056324","descriptor_name":"Diffusion Tensor Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D056324","descriptor_name":"Diffusion Tensor Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D056324","descriptor_name":"Diffusion Tensor Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D066127","descriptor_name":"White Matter","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D066127","descriptor_name":"White Matter","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D066127","descriptor_name":"White Matter","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D066127","descriptor_name":"White Matter","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D066127","descriptor_name":"White Matter","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1109/tmi.2025.3595367","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2025.3595367","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},{"id":"pmid:40758496","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40758496","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":"IEEE transactions on medical imaging","raw_type":null},{"id":"pmh:oai:europepmc.org:11668517","is_oa":false,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/12860900","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:12860900","is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC12860900/","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Trans Med Imaging","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:12860900","is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC12860900/","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Trans Med Imaging","raw_type":"Text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5208985389","display_name":null,"funder_award_id":"RF1AG077578, RF1AG064584, R01AG06200,U19AG078109,","funder_id":"https://openalex.org/F4320337337","funder_display_name":"National Institute on Aging"},{"id":"https://openalex.org/G946666071","display_name":null,"funder_award_id":"R01EB022744","funder_id":"https://openalex.org/F4320337363","funder_display_name":"National Institute of Biomedical Imaging and Bioengineering"}],"funders":[{"id":"https://openalex.org/F4320337337","display_name":"National Institute on Aging","ror":"https://ror.org/049v75w11"},{"id":"https://openalex.org/F4320337363","display_name":"National Institute of Biomedical Imaging and Bioengineering","ror":"https://ror.org/00372qc85"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W33507944","https://openalex.org/W126423635","https://openalex.org/W167165788","https://openalex.org/W259599263","https://openalex.org/W1901066177","https://openalex.org/W1965894642","https://openalex.org/W1981176642","https://openalex.org/W1988954604","https://openalex.org/W1993053013","https://openalex.org/W1996807743","https://openalex.org/W2001611992","https://openalex.org/W2012699412","https://openalex.org/W2017587562","https://openalex.org/W2020519533","https://openalex.org/W2034252184","https://openalex.org/W2049570813","https://openalex.org/W2051674894","https://openalex.org/W2060154072","https://openalex.org/W2063296368","https://openalex.org/W2067214598","https://openalex.org/W2072379803","https://openalex.org/W2076557627","https://openalex.org/W2091910928","https://openalex.org/W2092497652","https://openalex.org/W2100154344","https://openalex.org/W2108895118","https://openalex.org/W2155513557","https://openalex.org/W2330532773","https://openalex.org/W2402346616","https://openalex.org/W2726812203","https://openalex.org/W2766639217","https://openalex.org/W2809877631","https://openalex.org/W2887072805","https://openalex.org/W2941895184","https://openalex.org/W2970898057","https://openalex.org/W2972411153","https://openalex.org/W3010758268","https://openalex.org/W3046556822","https://openalex.org/W3094350435","https://openalex.org/W3185408546","https://openalex.org/W4206471589","https://openalex.org/W4225507110","https://openalex.org/W4313029060","https://openalex.org/W4387211115","https://openalex.org/W4388240272"],"related_works":["https://openalex.org/W1768769760","https://openalex.org/W2413360119","https://openalex.org/W1576270090","https://openalex.org/W2356293051","https://openalex.org/W2131307089","https://openalex.org/W2157123855","https://openalex.org/W57104752","https://openalex.org/W3106021769","https://openalex.org/W2004006028","https://openalex.org/W3031573373"],"abstract_inverted_index":{"The":[0,147],"fiber":[1,23,47,68,204],"orientation":[2],"distribution":[3],"(FOD)":[4],"function":[5],"is":[6,122,150],"an":[7],"advanced":[8],"model":[9],"for":[10,36,77,119,142,172],"high":[11],"angular":[12],"resolution":[13],"diffusion":[14],"MRI,":[15],"capable":[16,124],"of":[17,30,125,156,163,216],"representing":[18],"complex":[19,203],"crossing":[20],"or":[21],"fanning":[22],"geometries.":[24],"However,":[25],"the":[26,113,139,153,161,164,185,191,214],"intricate":[27],"mathematical":[28],"structures":[29],"FOD":[31,52,62,81,101,120,145,157,209],"functions":[32,82,102,121],"pose":[33],"significant":[34],"challenges":[35],"data":[37,57],"processing":[38,78],"and":[39,79,99,190,211],"analysis.":[40],"Current":[41],"frameworks":[42],"often":[43],"fail":[44],"to":[45,55,96,137,152],"consider":[46],"bundle":[48],"rotation":[49],"information":[50],"among":[51,128],"peaks,":[53],"leading":[54],"improper":[56],"processing,":[58],"such":[59],"as":[60,160,180,182],"inaccurate":[61],"interpolation":[63],"and,":[64],"consequently,":[65],"anatomically":[66,207],"incorrect":[67],"tracking.":[69],"This":[70],"paper":[71],"presents":[72],"a":[73,92,116,133,168],"novel":[74],"Wasserstein-space-based":[75],"framework":[76,149,200],"analyzing":[80],"that":[83,198],"systematically":[84],"considers":[85],"fiber-bundle-specific":[86],"geometry.":[87],"Our":[88],"approach":[89],"begins":[90],"with":[91,167],"spherical":[93],"deconvolution":[94],"method":[95,136,171],"accurately":[97],"detect":[98],"decompose":[100],"into":[103,112],"single-peak":[104,107,140],"lobes.":[105,130],"These":[106],"lobes":[108,141],"are":[109],"then":[110],"embedded":[111],"Wasserstein-space,":[114],"where":[115],"new":[117,165],"metric":[118],"defined,":[123],"handling":[126],"rotations":[127],"peak":[129],"We":[131],"introduce":[132],"geometry-aware":[134],"clustering":[135],"regroup":[138],"further":[143],"bundle-specific":[144],"processing.":[146],"proposed":[148],"applied":[151],"essential":[154],"task":[155],"interpolation,":[158],"computed":[159],"Barycenter":[162],"metric,":[166],"fast":[169],"approximation":[170],"efficient":[173],"computation.":[174],"Experiments":[175],"conducted":[176],"on":[177],"synthetic":[178],"data,":[179],"well":[181],"datasets":[183],"from":[184],"Human":[186],"Connectome":[187],"Project":[188],"(HCP)":[189],"Alzheimer's":[192],"Disease":[193],"Neuroimaging":[194],"Initiative":[195],"(ADNI),":[196],"demonstrate":[197],"our":[199],"effectively":[201],"handles":[202],"geometries,":[205],"provides":[206],"meaningful":[208],"interpolations,":[210],"significantly":[212],"enhances":[213],"performance":[215],"FOD-based":[217],"tractography.":[218]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-01-08T20:05:33.558190","created_date":"2025-10-10T00:00:00"}