{"id":"https://openalex.org/W4409191228","doi":"https://doi.org/10.1007/s11548-025-03348-7","title":"Parametric-MAA: fast, object-centric avoidance of metal artifacts for intraoperative CBCT","display_name":"Parametric-MAA: fast, object-centric avoidance of metal artifacts for intraoperative CBCT","publication_year":2025,"publication_date":"2025-04-05","ids":{"openalex":"https://openalex.org/W4409191228","doi":"https://doi.org/10.1007/s11548-025-03348-7","pmid":"https://pubmed.ncbi.nlm.nih.gov/40186717"},"language":"en","primary_location":{"id":"doi:10.1007/s11548-025-03348-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11548-025-03348-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11548-025-03348-7.pdf","source":{"id":"https://openalex.org/S181408163","display_name":"International Journal of Computer Assisted Radiology and Surgery","issn_l":"1861-6410","issn":["1861-6410","1861-6429"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Assisted Radiology and Surgery","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s11548-025-03348-7.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5052205207","display_name":"Maximilian Rohleder","orcid":"https://orcid.org/0000-0002-1758-9056"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]},{"id":"https://openalex.org/I4210151799","display_name":"Siemens Healthcare (United States)","ror":"https://ror.org/054962n91","country_code":"US","type":"company","lineage":["https://openalex.org/I4210151799"]},{"id":"https://openalex.org/I4210153902","display_name":"Siemens Healthineers (Germany)","ror":"https://ror.org/0449c4c15","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210153902"]}],"countries":["DE","US"],"is_corresponding":true,"raw_author_name":"Maximilian Rohleder","raw_affiliation_strings":["Pattern Recognition Lab, Friedrich-Alexander-University, Martenstra\u00dfe 3, 91058, Erlangen, Germany. Maxi.Rohleder@fau.de","Siemens Healthineers AG, Siemensstra\u00dfe 1, 91301, Forchheim, Germany. Maxi.Rohleder@fau.de"],"raw_orcid":"https://orcid.org/0000-0002-1758-9056","affiliations":[{"raw_affiliation_string":"Pattern Recognition Lab, Friedrich-Alexander-University, Martenstra\u00dfe 3, 91058, Erlangen, Germany. Maxi.Rohleder@fau.de","institution_ids":["https://openalex.org/I181369854"]},{"raw_affiliation_string":"Siemens Healthineers AG, Siemensstra\u00dfe 1, 91301, Forchheim, Germany. Maxi.Rohleder@fau.de","institution_ids":["https://openalex.org/I4210151799","https://openalex.org/I4210153902"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101619735","display_name":"Andreas Maier","orcid":"https://orcid.org/0000-0002-9550-5284"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Andreas Maier","raw_affiliation_strings":["Pattern Recognition Lab, Friedrich-Alexander-University, Martenstra\u00dfe 3, 91058, Erlangen, Germany"],"raw_orcid":"https://orcid.org/0000-0002-9550-5284","affiliations":[{"raw_affiliation_string":"Pattern Recognition Lab, Friedrich-Alexander-University, Martenstra\u00dfe 3, 91058, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017315239","display_name":"Bjoern Kreher","orcid":"https://orcid.org/0009-0009-4656-5705"},"institutions":[{"id":"https://openalex.org/I1325886976","display_name":"Siemens (Germany)","ror":"https://ror.org/059mq0909","country_code":"DE","type":"company","lineage":["https://openalex.org/I1325886976"]},{"id":"https://openalex.org/I4210151799","display_name":"Siemens Healthcare (United States)","ror":"https://ror.org/054962n91","country_code":"US","type":"company","lineage":["https://openalex.org/I4210151799"]}],"countries":["DE","US"],"is_corresponding":false,"raw_author_name":"Bjoern Kreher","raw_affiliation_strings":["Siemens Healthineers AG, Siemensstra\u00dfe 1, 91301, Forchheim, Germany"],"raw_orcid":"https://orcid.org/0009-0009-4656-5705","affiliations":[{"raw_affiliation_string":"Siemens Healthineers AG, Siemensstra\u00dfe 1, 91301, Forchheim, Germany","institution_ids":["https://openalex.org/I4210151799","https://openalex.org/I1325886976"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5052205207"],"corresponding_institution_ids":["https://openalex.org/I181369854","https://openalex.org/I4210151799","https://openalex.org/I4210153902"],"apc_list":{"value":3390,"currency":"EUR","value_usd":4390},"apc_paid":{"value":3390,"currency":"EUR","value_usd":4390},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06076009,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"20","issue":"6","first_page":"1115","last_page":"1124"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9057000279426575,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9057000279426575,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/T11778","display_name":"Electrical and Bioimpedance Tomography","score":0.006099999882280827,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T11183","display_name":"Advanced X-ray Imaging Techniques","score":0.00559999980032444,"subfield":{"id":"https://openalex.org/subfields/3108","display_name":"Radiation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7057875990867615},{"id":"https://openalex.org/keywords/artifact","display_name":"Artifact (error)","score":0.69328373670578},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6771073341369629},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6717318296432495},{"id":"https://openalex.org/keywords/ellipsoid","display_name":"Ellipsoid","score":0.5729211568832397},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.5210705995559692},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.5172256231307983},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4822414815425873},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.45597657561302185},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4412490427494049},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17923757433891296}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7057875990867615},{"id":"https://openalex.org/C2779010991","wikidata":"https://www.wikidata.org/wiki/Q2720909","display_name":"Artifact (error)","level":2,"score":0.69328373670578},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6771073341369629},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6717318296432495},{"id":"https://openalex.org/C57489055","wikidata":"https://www.wikidata.org/wiki/Q190046","display_name":"Ellipsoid","level":2,"score":0.5729211568832397},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.5210705995559692},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.5172256231307983},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4822414815425873},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.45597657561302185},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4412490427494049},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17923757433891296},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","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":"D008670","descriptor_name":"Metals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008670","descriptor_name":"Metals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008670","descriptor_name":"Metals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008670","descriptor_name":"Metals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019736","descriptor_name":"Prostheses and Implants","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019736","descriptor_name":"Prostheses and Implants","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019736","descriptor_name":"Prostheses and Implants","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019736","descriptor_name":"Prostheses and Implants","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D054893","descriptor_name":"Cone-Beam Computed Tomography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D054893","descriptor_name":"Cone-Beam Computed Tomography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D054893","descriptor_name":"Cone-Beam Computed Tomography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D054893","descriptor_name":"Cone-Beam Computed Tomography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true}],"locations_count":4,"locations":[{"id":"doi:10.1007/s11548-025-03348-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11548-025-03348-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11548-025-03348-7.pdf","source":{"id":"https://openalex.org/S181408163","display_name":"International Journal of Computer Assisted Radiology and Surgery","issn_l":"1861-6410","issn":["1861-6410","1861-6429"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Assisted Radiology and Surgery","raw_type":"journal-article"},{"id":"pmid:40186717","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40186717","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":"International journal of computer assisted radiology and surgery","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:12167300","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/12167300","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC12167300/pdf/11548_2025_Article_3348.pdf","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":"Int J Comput Assist Radiol Surg","raw_type":"Text"},{"id":"pmh:oai:open.fau.de:openfau/36594","is_oa":true,"landing_page_url":"https://open.fau.de/handle/openfau/36594","pdf_url":null,"source":{"id":"https://openalex.org/S7407055110","display_name":"OPUS FAU - Online publication system of Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s11548-025-03348-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11548-025-03348-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11548-025-03348-7.pdf","source":{"id":"https://openalex.org/S181408163","display_name":"International Journal of Computer Assisted Radiology and Surgery","issn_l":"1861-6410","issn":["1861-6410","1861-6429"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Assisted Radiology and Surgery","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320873","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4409191228.pdf","grobid_xml":"https://content.openalex.org/works/W4409191228.grobid-xml"},"referenced_works_count":10,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W2034280206","https://openalex.org/W2101891472","https://openalex.org/W2950390322","https://openalex.org/W3026552571","https://openalex.org/W3089113160","https://openalex.org/W4224924622","https://openalex.org/W4288713667","https://openalex.org/W4389290726","https://openalex.org/W4398235804"],"related_works":["https://openalex.org/W2005485125","https://openalex.org/W2390718407","https://openalex.org/W1986006778","https://openalex.org/W2034124193","https://openalex.org/W52840052","https://openalex.org/W2379017606","https://openalex.org/W4211143546","https://openalex.org/W2171970890","https://openalex.org/W2356423988","https://openalex.org/W2156319555"],"abstract_inverted_index":{"PURPOSE:":[0],"Metal":[1,31],"artifacts":[2,18],"remain":[3],"a":[4,89,133,171,180,213,229,252],"persistent":[5],"issue":[6],"in":[7,12,49,84,204,216,236],"intraoperative":[8,257],"CBCT":[9,237],"imaging.":[10],"Particularly":[11],"orthopedic":[13],"and":[14,59,110,156,159,201],"trauma":[15],"applications,":[16],"these":[17,65,128],"obstruct":[19],"clinically":[20,100,246],"relevant":[21,101,247],"areas":[22],"around":[23],"the":[24,27,69,209,219],"implant,":[25],"reducing":[26],"modality's":[28],"clinical":[29,50,163,190,206],"value.":[30],"artifact":[32,73,124,234],"avoidance":[33,74,235],"(MAA)":[34],"methods":[35],"have":[36],"shown":[37],"potential":[38],"to":[39,53,97,188],"improve":[40],"image":[41],"quality":[42],"through":[43],"trajectory":[44,241],"adjustments,":[45],"but":[46],"often":[47],"fail":[48],"practice":[51],"due":[52],"their":[54],"focus":[55],"on":[56,127,161,245],"irrelevant":[57],"objects":[58],"high":[60],"computational":[61],"demands.":[62],"To":[63],"address":[64],"limitations,":[66],"we":[67,131],"introduce":[68],"novel":[70],"parametric":[71],"metal":[72,233],"(P-MAA)":[75],"method.":[76],"METHODS:":[77],"The":[78,165,175,192,225],"P-MAA":[79,226],"method":[80,167,195,211,250],"first":[81],"detects":[82],"keypoints":[83,94],"two":[85],"scout":[86],"views":[87],"using":[88,153,199],"deep":[90],"learning":[91],"model.":[92],"These":[93],"are":[95,120],"used":[96],"model":[98,147,178],"each":[99],"object":[102,118,149],"as":[103],"an":[104],"ellipsoid,":[105],"capturing":[106],"its":[107],"position,":[108],"extent,":[109],"orientation.":[111],"We":[112],"hypothesize":[113],"that":[114],"fine":[115],"details":[116],"of":[117,184,259],"shapes":[119],"less":[121],"critical":[122],"for":[123,137,148,221,232],"reduction.":[125],"Based":[126],"ellipsoidal":[129],"representations,":[130],"devise":[132],"computationally":[134],"efficient":[135],"metric":[136],"scoring":[138,166,194],"view":[139],"trajectories,":[140],"enabling":[141,239],"fast,":[142],"CPU-based":[143],"optimization.":[144],"A":[145],"detection":[146,177],"localization":[150],"was":[151,168,202],"trained":[152,176],"both":[154],"simulated":[155],"real":[157,162],"data":[158],"validated":[160],"cases.":[164,191],"benchmarked":[169],"against":[170],"raytracing-based":[172],"approach.":[173],"RESULTS:":[174],"achieved":[179],"mean":[181],"average":[182],"recall":[183],"0.78,":[185],"demonstrating":[186],"generalizability":[187],"unseen":[189],"ellipsoid-based":[193],"closely":[196],"approximated":[197],"results":[198],"raytracing":[200],"effective":[203],"complex":[205],"scenarios.":[207],"Additionally,":[208],"ellipsoid":[210],"provided":[212],"33-fold":[214],"increase":[215],"speed,":[217],"without":[218],"need":[220],"GPU":[222],"acceleration.":[223],"CONCLUSION:":[224],"approach":[227],"provides":[228],"feasible":[230],"solution":[231],"imaging,":[238],"fast":[240],"optimization":[242],"while":[243],"focusing":[244],"objects.":[248],"This":[249],"represents":[251],"significant":[253],"step":[254],"toward":[255],"practical":[256],"implementation":[258],"MAA":[260],"techniques.":[261]},"counts_by_year":[],"updated_date":"2026-04-29T09:16:38.111599","created_date":"2025-10-10T00:00:00"}
