{"id":"https://openalex.org/W1995461385","doi":"https://doi.org/10.1109/prni.2013.21","title":"Importance Sampling Spherical Harmonics to Improve Probabilistic Tractography","display_name":"Importance Sampling Spherical Harmonics to Improve Probabilistic Tractography","publication_year":2013,"publication_date":"2013-06-01","ids":{"openalex":"https://openalex.org/W1995461385","doi":"https://doi.org/10.1109/prni.2013.21","mag":"1995461385"},"language":"en","primary_location":{"id":"doi:10.1109/prni.2013.21","doi":"https://doi.org/10.1109/prni.2013.21","is_oa":false,"landing_page_url":"https://doi.org/10.1109/prni.2013.21","pdf_url":null,"source":{"id":"https://openalex.org/S4393918460","display_name":"International Workshop on Pattern Recognition in NeuroImaging","issn_l":"2330-9989","issn":["2330-9989"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 International Workshop on Pattern Recognition in Neuroimaging","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020927006","display_name":"Hasan Ertan \u00c7eting\u00fcl","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210137693","display_name":"Siemens (United States)","ror":"https://ror.org/04axb7e79","country_code":"US","type":"company","lineage":["https://openalex.org/I1325886976","https://openalex.org/I4210137693"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"H. Ertan Cetingul","raw_affiliation_strings":["Imaging and Computer Vision TF, Siemens Corporation, Princeton, NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Imaging and Computer Vision TF, Siemens Corporation, Princeton, NJ, USA","institution_ids":["https://openalex.org/I4210137693"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111348033","display_name":"Laura Dumont","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I59692284","display_name":"\u00c9cole d'Ing\u00e9nieurs en Chimie et Sciences du Num\u00e9rique","ror":"https://ror.org/01cbtr271","country_code":"FR","type":"education","lineage":["https://openalex.org/I59692284"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Laura Dumont","raw_affiliation_strings":["Engineering School of Chemistry, Physics, and Electronics, CPE Lyon, Villeurbanne, France","Eng. Sch. of Chem., Phys., & Electron., CPE Lyon, Villeurbanne, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Engineering School of Chemistry, Physics, and Electronics, CPE Lyon, Villeurbanne, France","institution_ids":["https://openalex.org/I59692284"]},{"raw_affiliation_string":"Eng. Sch. of Chem., Phys., & Electron., CPE Lyon, Villeurbanne, France","institution_ids":["https://openalex.org/I59692284"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112334498","display_name":"Mariappan S. Nadar","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210137693","display_name":"Siemens (United States)","ror":"https://ror.org/04axb7e79","country_code":"US","type":"company","lineage":["https://openalex.org/I1325886976","https://openalex.org/I4210137693"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mariappan S. Nadar","raw_affiliation_strings":["Imaging and Computer Vision TF, Siemens Corporation, Princeton, NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Imaging and Computer Vision TF, Siemens Corporation, Princeton, NJ, USA","institution_ids":["https://openalex.org/I4210137693"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100606557","display_name":"Paul M. Thompson","orcid":"https://orcid.org/0000-0002-4720-8867","observed_orcids":["https://orcid.org/0000-0002-4720-8867","https://orcid.org/0000-0003-2476-2803","https://orcid.org/0000-0002-2305-8438"]},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Paul M. Thompson","raw_affiliation_strings":["Laboratory of Neuro Imaging, School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA","Sch. of Med., Lab. of Neuro Imaging, UCLA, Los Angeles, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory of Neuro Imaging, School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I161318765"]},{"raw_affiliation_string":"Sch. of Med., Lab. of Neuro Imaging, UCLA, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025218580","display_name":"Guillermo Sapiro","orcid":"https://orcid.org/0000-0001-9190-6964","observed_orcids":["https://orcid.org/0000-0001-9190-6964"]},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Guillermo Sapiro","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Duke University, Durham, NC, USA","Dept. of Electr. & Comput. Eng., Duke Univ., Durham, NC, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Duke University, Durham, NC, USA","institution_ids":["https://openalex.org/I170897317"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Duke Univ., Durham, NC, USA#TAB#","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069089076","display_name":"Christophe Lenglet","orcid":"https://orcid.org/0000-0003-4646-3185","observed_orcids":["https://orcid.org/0000-0003-4646-3185"]},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christophe Lenglet","raw_affiliation_strings":["Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, USA","Center for Magn. Resonance Res., Univ. of Minnesota, Minneapolis, MN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, USA","institution_ids":["https://openalex.org/I130238516"]},{"raw_affiliation_string":"Center for Magn. Resonance Res., Univ. of Minnesota, Minneapolis, MN, USA","institution_ids":["https://openalex.org/I130238516"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10112964,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"46","last_page":"49"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":0.9994999766349792,"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":0.9994999766349792,"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":0.0,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/probabilistic-tractography","display_name":"probabilistic tractography","score":0.9340000152587891},{"id":"https://openalex.org/keywords/white-matter-tractography","display_name":"white matter tractography","score":0.7609999775886536},{"id":"https://openalex.org/keywords/importance-sampling","display_name":"importance sampling","score":0.9160000085830688},{"id":"https://openalex.org/keywords/spherical-harmonics","display_name":"spherical harmonics","score":0.9990000128746033},{"id":"https://openalex.org/keywords/orientation-distribution-function","display_name":"orientation distribution function","score":0.9980000257492065},{"id":"https://openalex.org/keywords/inverse-transform-sampling","display_name":"inverse transform sampling","score":0.9110000133514404},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.7170000076293945},{"id":"https://openalex.org/keywords/diffusion-mri","display_name":"diffusion MRI","score":0.765999972820282},{"id":"https://openalex.org/keywords/fiber-orientation-estimation","display_name":"fiber orientation estimation","score":0.4230000078678131}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6047992706298828},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.6005414128303528},{"id":"https://openalex.org/C3768446","wikidata":"https://www.wikidata.org/wiki/Q877100","display_name":"Spherical harmonics","level":2,"score":0.5931332111358643},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.5581600069999695},{"id":"https://openalex.org/C84787856","wikidata":"https://www.wikidata.org/wiki/Q3076659","display_name":"Tractography","level":4,"score":0.5048244595527649},{"id":"https://openalex.org/C157202957","wikidata":"https://www.wikidata.org/wiki/Q1659609","display_name":"Image warping","level":2,"score":0.4725881516933441},{"id":"https://openalex.org/C104293457","wikidata":"https://www.wikidata.org/wiki/Q28324852","display_name":"Imaging phantom","level":2,"score":0.46477964520454407},{"id":"https://openalex.org/C174576160","wikidata":"https://www.wikidata.org/wiki/Q1183700","display_name":"Deconvolution","level":2,"score":0.4367653727531433},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.43526285886764526},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4333137273788452},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42313092947006226},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.42056357860565186},{"id":"https://openalex.org/C149550507","wikidata":"https://www.wikidata.org/wiki/Q899360","display_name":"Diffusion MRI","level":3,"score":0.35786354541778564},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34516066312789917},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3145049810409546},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.3131868839263916},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/prni.2013.21","doi":"https://doi.org/10.1109/prni.2013.21","is_oa":false,"landing_page_url":"https://doi.org/10.1109/prni.2013.21","pdf_url":null,"source":{"id":"https://openalex.org/S4393918460","display_name":"International Workshop on Pattern Recognition in NeuroImaging","issn_l":"2330-9989","issn":["2330-9989"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 International Workshop on Pattern Recognition in Neuroimaging","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320337385","display_name":"NIH Blueprint for Neuroscience Research","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1584814649","https://openalex.org/W1749494163","https://openalex.org/W1979757232","https://openalex.org/W2000133863","https://openalex.org/W2003402856","https://openalex.org/W2019737946","https://openalex.org/W2022530159","https://openalex.org/W2025353374","https://openalex.org/W2036785860","https://openalex.org/W2082841340","https://openalex.org/W2110464233","https://openalex.org/W2111508341","https://openalex.org/W2130199747","https://openalex.org/W3122956633"],"related_works":["https://openalex.org/W2330657207","https://openalex.org/W2382179465","https://openalex.org/W2104228767","https://openalex.org/W586820979","https://openalex.org/W596095655","https://openalex.org/W2903586266","https://openalex.org/W1859751211","https://openalex.org/W1522742122","https://openalex.org/W2522361270","https://openalex.org/W1541509825"],"abstract_inverted_index":{"We":[0,61],"consider":[1],"the":[2,6,18,31,54,78,82,98,101,115],"problem":[3],"of":[4,10,38,68],"improving":[5,17],"accuracy":[7],"and":[8,134],"reliability":[9],"probabilistic":[11],"white":[12],"matter":[13],"tractography":[14],"methods":[15,41],"by":[16],"built-in":[19],"sampling":[20,45,67,105],"scheme,":[21],"which":[22,71],"randomly":[23],"draws,":[24],"from":[25,58],"a":[26,36,90,121],"diffusion":[27],"model":[28],"such":[29],"as":[30],"orientation":[32],"distribution":[33],"function":[34],"(ODF),":[35],"direction":[37],"propagation.":[39],"Existing":[40],"employing":[42],"inverse":[43,103],"transform":[44,104],"require":[46],"an":[47,73],"ad":[48],"hoc":[49],"thresholding":[50],"step":[51],"to":[52,64,80,106],"prevent":[53],"less":[55],"likely":[56],"directions":[57],"being":[59],"sampled.":[60],"herein":[62],"propose":[63],"perform":[65],"importance":[66],"spherical":[69],"harmonics,":[70],"redistributes":[72],"input":[74],"point":[75,91],"set":[76,92],"on":[77,131],"sphere":[79],"match":[81],"ODF":[83],"using":[84],"hierarchical":[85],"sample":[86],"warping.":[87],"This":[88],"produces":[89],"that":[93,109],"is":[94,127],"more":[95],"concentrated":[96],"around":[97],"modes,":[99],"allowing":[100],"subsequent":[102],"generate":[107],"orientations":[108],"are":[110],"in":[111],"better":[112],"accordance":[113],"with":[114],"local":[116],"fiber":[117],"configuration.":[118],"Integrated":[119],"into":[120],"Kalman":[122],"filter-based":[123],"framework,":[124],"our":[125],"approach":[126],"evaluated":[128],"through":[129],"experiments":[130],"synthetic,":[132],"phantom,":[133],"real":[135],"datasets.":[136]},"counts_by_year":[],"updated_date":"2026-10-30T12:39:25.321706","created_date":"2016-06-24T00:00:00"}
