{"id":"https://openalex.org/W2733739397","doi":"https://doi.org/10.1109/iwssip.2017.7965601","title":"On accuracy of personalized 3D-printed MRI-based models of brain arteries","display_name":"On accuracy of personalized 3D-printed MRI-based models of brain arteries","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2733739397","doi":"https://doi.org/10.1109/iwssip.2017.7965601","mag":"2733739397"},"language":"en","primary_location":{"id":"doi:10.1109/iwssip.2017.7965601","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwssip.2017.7965601","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Conference on Systems, Signals and Image Processing (IWSSIP)","raw_type":"proceedings-article"},"type":"article","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/A5030949883","display_name":"Marek Koci\u0144ski","orcid":"https://orcid.org/0000-0001-7088-4823"},"institutions":[{"id":"https://openalex.org/I188884621","display_name":"Lodz University of Technology","ror":"https://ror.org/00s8fpf52","country_code":"PL","type":"education","lineage":["https://openalex.org/I188884621"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Marek Kocinski","raw_affiliation_strings":["Lodz University of Technology, Institute of Electronics, Lodz, Poland","Lodz University of Technology, Institute of Electronics, 90-924 Lodz, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lodz University of Technology, Institute of Electronics, Lodz, Poland","institution_ids":["https://openalex.org/I188884621"]},{"raw_affiliation_string":"Lodz University of Technology, Institute of Electronics, 90-924 Lodz, Poland","institution_ids":["https://openalex.org/I188884621"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062964220","display_name":"Andrzej Materka","orcid":"https://orcid.org/0000-0003-0864-1518"},"institutions":[{"id":"https://openalex.org/I188884621","display_name":"Lodz University of Technology","ror":"https://ror.org/00s8fpf52","country_code":"PL","type":"education","lineage":["https://openalex.org/I188884621"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Andrzej Materka","raw_affiliation_strings":["Lodz University of Technology, Institute of Electronics, Lodz, Poland","Lodz University of Technology, Institute of Electronics, 90-924 Lodz, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lodz University of Technology, Institute of Electronics, Lodz, Poland","institution_ids":["https://openalex.org/I188884621"]},{"raw_affiliation_string":"Lodz University of Technology, Institute of Electronics, 90-924 Lodz, Poland","institution_ids":["https://openalex.org/I188884621"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002919334","display_name":"Marcin Elgalal","orcid":"https://orcid.org/0000-0001-9127-0169"},"institutions":[{"id":"https://openalex.org/I4210122071","display_name":"Medical University of Lodz","ror":"https://ror.org/02t4ekc95","country_code":"PL","type":"education","lineage":["https://openalex.org/I4210122071"]},{"id":"https://openalex.org/I4210150971","display_name":"Institute of Molecular Biology and Biophysics","ror":"https://ror.org/051f11n17","country_code":"RU","type":"facility","lineage":["https://openalex.org/I1313323035","https://openalex.org/I4210110862","https://openalex.org/I4210150971"]}],"countries":["PL","RU"],"is_corresponding":false,"raw_author_name":"Marcin Elgalal","raw_affiliation_strings":["Bionanopark, Molecular and Nanostructural Biophysics Laboratory, Lodz, Poland","Department of Radiology, Medical University of Lodz, L\u00f3d\u017a, Poland","Medical University of Lodz, Department of Radiology, 90-419 \u0141\u00f3d\u017a, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bionanopark, Molecular and Nanostructural Biophysics Laboratory, Lodz, Poland","institution_ids":["https://openalex.org/I4210150971"]},{"raw_affiliation_string":"Department of Radiology, Medical University of Lodz, L\u00f3d\u017a, Poland","institution_ids":["https://openalex.org/I4210122071"]},{"raw_affiliation_string":"Medical University of Lodz, Department of Radiology, 90-419 \u0141\u00f3d\u017a, Poland","institution_ids":["https://openalex.org/I4210122071"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050257717","display_name":"Agata Majos","orcid":"https://orcid.org/0000-0002-4141-0191"},"institutions":[{"id":"https://openalex.org/I4210122071","display_name":"Medical University of Lodz","ror":"https://ror.org/02t4ekc95","country_code":"PL","type":"education","lineage":["https://openalex.org/I4210122071"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Agata Majos","raw_affiliation_strings":["Department of Radiology, Medical University of Lodz, L\u00f3d\u017a, Poland","Medical University of Lodz, Department of Radiology, 90-419 \u0141\u00f3d\u017a, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, Medical University of Lodz, L\u00f3d\u017a, Poland","institution_ids":["https://openalex.org/I4210122071"]},{"raw_affiliation_string":"Medical University of Lodz, Department of Radiology, 90-419 \u0141\u00f3d\u017a, Poland","institution_ids":["https://openalex.org/I4210122071"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2625,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.55510363,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11984","display_name":"Anatomy and Medical Technology","score":0.9988999962806702,"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/T11984","display_name":"Anatomy and Medical Technology","score":0.9988999962806702,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9979000091552734,"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/T14510","display_name":"Medical Imaging and Analysis","score":0.996999979019165,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/voxel","display_name":"Voxel","score":0.7147700190544128},{"id":"https://openalex.org/keywords/imaging-phantom","display_name":"Imaging phantom","score":0.6624376177787781},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6590274572372437},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6513838768005371},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6198796629905701},{"id":"https://openalex.org/keywords/resampling","display_name":"Resampling","score":0.5345852375030518},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.49081310629844666},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4572157859802246},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4521113932132721},{"id":"https://openalex.org/keywords/3d-printed","display_name":"3d printed","score":0.41203218698501587},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.41200631856918335},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3735336661338806},{"id":"https://openalex.org/keywords/biomedical-engineering","display_name":"Biomedical engineering","score":0.309605211019516},{"id":"https://openalex.org/keywords/nuclear-medicine","display_name":"Nuclear medicine","score":0.24662336707115173},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.11270460486412048},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.10585778951644897}],"concepts":[{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.7147700190544128},{"id":"https://openalex.org/C104293457","wikidata":"https://www.wikidata.org/wiki/Q28324852","display_name":"Imaging phantom","level":2,"score":0.6624376177787781},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6590274572372437},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6513838768005371},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6198796629905701},{"id":"https://openalex.org/C150921843","wikidata":"https://www.wikidata.org/wiki/Q1170431","display_name":"Resampling","level":2,"score":0.5345852375030518},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.49081310629844666},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4572157859802246},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4521113932132721},{"id":"https://openalex.org/C3019308078","wikidata":"https://www.wikidata.org/wiki/Q229367","display_name":"3d printed","level":2,"score":0.41203218698501587},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.41200631856918335},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3735336661338806},{"id":"https://openalex.org/C136229726","wikidata":"https://www.wikidata.org/wiki/Q327092","display_name":"Biomedical engineering","level":1,"score":0.309605211019516},{"id":"https://openalex.org/C2989005","wikidata":"https://www.wikidata.org/wiki/Q214963","display_name":"Nuclear medicine","level":1,"score":0.24662336707115173},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.11270460486412048},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.10585778951644897},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwssip.2017.7965601","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwssip.2017.7965601","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Conference on Systems, Signals and Image Processing (IWSSIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Clean water and sanitation","id":"https://metadata.un.org/sdg/6","score":0.5699999928474426}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1940429402","https://openalex.org/W1964603660","https://openalex.org/W1997727828","https://openalex.org/W2090480268","https://openalex.org/W2115363972","https://openalex.org/W2219958065","https://openalex.org/W2499411512","https://openalex.org/W2560839626"],"related_works":["https://openalex.org/W2052515325","https://openalex.org/W2050948537","https://openalex.org/W2767646790","https://openalex.org/W2352041579","https://openalex.org/W3027020613","https://openalex.org/W2138381686","https://openalex.org/W1998176685","https://openalex.org/W2141585124","https://openalex.org/W29630554","https://openalex.org/W4385545651"],"abstract_inverted_index":{"Possibilities":[0],"of":[1,10,42,76,127,130],"constructing":[2],"an":[3],"anatomically":[4],"correct":[5,121],"and":[6,50,64],"accurate":[7],"geometric":[8,40],"model":[9,41,47,97],"brain":[11],"blood":[12],"vessels":[13],"basing":[14],"on":[15],"clinical":[16,69],"1.5T":[17],"magnetic":[18],"resonance":[19],"images":[20,80],"are":[21,134],"explored.":[22],"A":[23,107],"high-resolution":[24],"ToF":[25],"MR":[26,70],"image":[27,87],"(0.49":[28],"mm":[29],"<sup":[30,91],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[31,92],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">3</sup>":[32,93],"voxel)":[33],"was":[34,48,60,115],"used":[35],"to":[36,89,118],"build":[37],"a":[38,54,67],"reference":[39],"selected":[43],"real-brain":[44],"arteries.":[45],"This":[46],"STL-described":[49],"3D":[51,131],"printed":[52,58,132],"using":[53,66],"photopolymer":[55],"material.":[56],"The":[57],"phantom":[59],"submerged":[61],"in":[62],"water":[63],"scanned":[65],"low-resolution":[68],"system":[71],"(0.33\u00d70.33\u00d72.2":[72],"mm).":[73],"Level-set":[74],"segmentation":[75],"the":[77,96],"obtained":[78],"T2":[79,86],"showed":[81],"significant":[82],"staircase":[83],"effect.":[84],"After":[85],"resampling":[88],"0.33mm":[90],"voxel":[94],"size,":[95],"walls":[98],"become":[99],"smoother,":[100],"but":[101],"thin":[102],"branches":[103,113],"were":[104],"still":[105],"missing.":[106],"Frangi":[108],"filtering-based,":[109],"smooth":[110],"centerline-radius":[111],"vessel":[112],"description":[114],"then":[116],"developed":[117],"achieve":[119],"their":[120],"reconstruction":[122],"with":[123],"subvoxel":[124],"accuracy.":[125],"Challenges":[126],"MRI":[128],"acquisition":[129],"models":[133],"discussed.":[135]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}