{"id":"https://openalex.org/W7134042680","doi":"https://doi.org/10.48550/arxiv.2603.04770","title":"DSA-SRGS: Super-Resolution Gaussian Splatting for Dynamic Sparse-View DSA Reconstruction","display_name":"DSA-SRGS: Super-Resolution Gaussian Splatting for Dynamic Sparse-View DSA Reconstruction","publication_year":2026,"publication_date":"2026-03-05","ids":{"openalex":"https://openalex.org/W7134042680","doi":"https://doi.org/10.48550/arxiv.2603.04770"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2603.04770","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","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":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5041457070","display_name":"Shiyu Zhang","orcid":"https://orcid.org/0000-0001-7111-3895"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Zhang, Shiyu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128231762","display_name":"Zhicong Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Zhicong","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128230109","display_name":"Huangxuan Zhao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhao, Huangxuan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128243828","display_name":"Zhentao Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Zhentao","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128224195","display_name":"Lei Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Lei","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128222329","display_name":"Yong Luo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Luo, Yong","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128276289","display_name":"Lefei Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Lefei","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121830628","display_name":"Zhiming Cui","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cui, Zhiming","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069526242","display_name":"Ziwen Ke","orcid":"https://orcid.org/0000-0003-3298-8220"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ke, Ziwen","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5128261907","display_name":"Bo Du","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Du, Bo","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":10,"corresponding_author_ids":["https://openalex.org/A5041457070"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.39730000495910645,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.39730000495910645,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.11760000139474869,"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":0.06859999895095825,"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/upsampling","display_name":"Upsampling","score":0.7626000046730042},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.520799994468689},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.4390999972820282},{"id":"https://openalex.org/keywords/aliasing","display_name":"Aliasing","score":0.4214000105857849},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.40939998626708984},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.3937999904155731},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.38199999928474426},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.3578999936580658}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8176000118255615},{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.7626000046730042},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6938999891281128},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.63919997215271},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.520799994468689},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.4390999972820282},{"id":"https://openalex.org/C4069607","wikidata":"https://www.wikidata.org/wiki/Q868732","display_name":"Aliasing","level":3,"score":0.4214000105857849},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.40939998626708984},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.3937999904155731},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.38199999928474426},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.3578999936580658},{"id":"https://openalex.org/C65892221","wikidata":"https://www.wikidata.org/wiki/Q1113935","display_name":"Gaussian filter","level":3,"score":0.3019999861717224},{"id":"https://openalex.org/C2777708103","wikidata":"https://www.wikidata.org/wiki/Q852589","display_name":"Motion blur","level":3,"score":0.2904999852180481},{"id":"https://openalex.org/C104317376","wikidata":"https://www.wikidata.org/wiki/Q1894545","display_name":"Gaussian blur","level":5,"score":0.28780001401901245},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.2863999903202057},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.26989999413490295},{"id":"https://openalex.org/C68516990","wikidata":"https://www.wikidata.org/wiki/Q452912","display_name":"Subpixel rendering","level":3,"score":0.2678999900817871},{"id":"https://openalex.org/C32653426","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Background subtraction","level":3,"score":0.26440000534057617},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2619999945163727},{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.2599000036716461},{"id":"https://openalex.org/C52740198","wikidata":"https://www.wikidata.org/wiki/Q1539564","display_name":"Importance sampling","level":3,"score":0.2596000134944916},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.2556000053882599},{"id":"https://openalex.org/C2776863239","wikidata":"https://www.wikidata.org/wiki/Q7936601","display_name":"Visual hull","level":3,"score":0.2540999948978424},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.25360000133514404}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2603.04770","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","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":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2603.04770","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.04770","pdf_url":null,"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:doi:10.48550/arxiv.2603.04770","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","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":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Digital":[0],"subtraction":[1],"angiography":[2],"(DSA)":[3],"is":[4],"a":[5,115,125,145],"key":[6],"imaging":[7],"technique":[8],"for":[9,107],"the":[10,44,71,101,131,154,159,182],"auxiliary":[11],"diagnosis":[12,90],"and":[13,23,62,80,91,158,205],"treatment":[14],"of":[15,46,67],"cerebrovascular":[16],"diseases.":[17],"Recent":[18],"advancements":[19],"in":[20,59,88,201],"gaussian":[21,104,185],"splatting":[22,105],"dynamic":[24,35,108],"neural":[25],"representations":[26],"have":[27],"enabled":[28],"robust":[29],"3D":[30],"vessel":[31],"reconstruction":[32,133],"from":[33,75,124,140,176],"sparse":[34],"inputs.":[36],"However,":[37],"these":[38],"methods":[39,200],"are":[40],"fundamentally":[41],"constrained":[42],"by":[43],"resolution":[45,56],"input":[47],"projections,":[48],"where":[49],"performing":[50],"naive":[51],"upsampling":[52],"to":[53,148,180],"enhance":[54],"rendering":[55],"inevitably":[57],"results":[58],"severe":[60],"blurring":[61],"aliasing":[63],"artifacts.":[64],"Such":[65],"lack":[66],"super-resolution":[68,103,128],"capability":[69],"prevents":[70],"reconstructed":[72],"4D":[73,132,183],"models":[74],"recovering":[76],"fine-grained":[77],"vascular":[78],"details":[79],"intricate":[81],"branching":[82],"structures,":[83],"which":[84],"restricts":[85],"their":[86],"application":[87],"precision":[89],"treatment.":[92],"To":[93,135],"solve":[94],"this":[95,97,142],"problem,":[96],"paper":[98],"proposes":[99],"DSA-SRGS,":[100],"first":[102],"framework":[106],"sparse-view":[109],"DSA":[110,192],"reconstruction.":[111],"Specifically,":[112],"we":[113,164],"introduce":[114],"Multi-Fidelity":[116],"Texture":[117],"Learning":[118],"Module":[119],"that":[120,172,195],"integrates":[121],"high-quality":[122],"priors":[123],"fine-tuned":[126],"DSA-specific":[127],"model,":[129],"into":[130],"optimization.":[134],"mitigate":[136],"potential":[137],"hallucination":[138],"artifacts":[139],"pseudo-labels,":[141],"module":[143],"employs":[144],"Confidence-Aware":[146],"Strategy":[147],"adaptively":[149],"weight":[150],"supervision":[151],"signals":[152],"between":[153],"original":[155],"low-resolution":[156],"projections":[157],"generated":[160],"high-resolution":[161,177],"pseudo-labels.":[162],"Furthermore,":[163],"develop":[165],"Radiative":[166],"Sub-Pixel":[167],"Densification,":[168],"an":[169],"adaptive":[170],"strategy":[171],"leverages":[173],"gradient":[174],"accumulation":[175],"sub-pixel":[178],"sampling":[179],"refine":[181],"radiative":[184],"kernels.":[186],"Extensive":[187],"experiments":[188],"on":[189],"two":[190],"clinical":[191],"datasets":[193],"demonstrate":[194],"DSA-SRGS":[196],"significantly":[197],"outperforms":[198],"state-of-the-art":[199],"both":[202],"quantitative":[203],"metrics":[204],"qualitative":[206],"visual":[207],"fidelity.":[208]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2026-03-07T00:00:00"}
