{"id":"https://openalex.org/W2123188102","doi":"https://doi.org/10.1109/bibe.2003.1188944","title":"Vessel extraction in medical images by 3D wave propagation and traceback","display_name":"Vessel extraction in medical images by 3D wave propagation and traceback","publication_year":2003,"publication_date":"2003-11-20","ids":{"openalex":"https://openalex.org/W2123188102","doi":"https://doi.org/10.1109/bibe.2003.1188944","mag":"2123188102"},"language":"en","primary_location":{"id":"doi:10.1109/bibe.2003.1188944","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibe.2003.1188944","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Third IEEE Symposium on Bioinformatics and Bioengineering, 2003. Proceedings.","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/A5091620145","display_name":"Cemil Kirbas","orcid":null},"institutions":[{"id":"https://openalex.org/I19648265","display_name":"Wright State University","ror":"https://ror.org/04qk6pt94","country_code":"US","type":"education","lineage":["https://openalex.org/I19648265"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"C. Kirbas","raw_affiliation_strings":["Vision Interfaces and Systems Laboratory (VISLab), Department of Computer Science and Engineering, Wright State University, Dayton, OH, USA","[Dept. of Comput. Sci. & Eng., Wright State Univ., Dayton, OH, USA]"],"affiliations":[{"raw_affiliation_string":"Vision Interfaces and Systems Laboratory (VISLab), Department of Computer Science and Engineering, Wright State University, Dayton, OH, USA","institution_ids":["https://openalex.org/I19648265"]},{"raw_affiliation_string":"[Dept. of Comput. Sci. & Eng., Wright State Univ., Dayton, OH, USA]","institution_ids":["https://openalex.org/I19648265"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083022890","display_name":"Francis Quek","orcid":"https://orcid.org/0009-0002-9040-7113"},"institutions":[{"id":"https://openalex.org/I19648265","display_name":"Wright State University","ror":"https://ror.org/04qk6pt94","country_code":"US","type":"education","lineage":["https://openalex.org/I19648265"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"F.K.H. Quek","raw_affiliation_strings":["Vision Interfaces and Systems Laboratory (VISLab), Department of Computer Science and Engineering, Wright State University, Dayton, OH, USA","[Dept. of Comput. Sci. & Eng., Wright State Univ., Dayton, OH, USA]"],"affiliations":[{"raw_affiliation_string":"Vision Interfaces and Systems Laboratory (VISLab), Department of Computer Science and Engineering, Wright State University, Dayton, OH, USA","institution_ids":["https://openalex.org/I19648265"]},{"raw_affiliation_string":"[Dept. of Comput. Sci. & Eng., Wright State Univ., Dayton, OH, USA]","institution_ids":["https://openalex.org/I19648265"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5091620145"],"corresponding_institution_ids":["https://openalex.org/I19648265"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.18778347,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"8","issue":null,"first_page":"174","last_page":"181"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9966999888420105,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9966999888420105,"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/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.996399998664856,"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/T10816","display_name":"Cerebrovascular and Carotid Artery Diseases","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6482325792312622},{"id":"https://openalex.org/keywords/voxel","display_name":"Voxel","score":0.6005294919013977},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5950422286987305},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5138866901397705},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5064483880996704},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4736386835575104},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36051344871520996},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3329271078109741},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33188819885253906}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6482325792312622},{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.6005294919013977},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5950422286987305},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5138866901397705},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5064483880996704},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4736386835575104},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36051344871520996},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3329271078109741},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33188819885253906},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibe.2003.1188944","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibe.2003.1188944","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Third IEEE Symposium on Bioinformatics and Bioengineering, 2003. Proceedings.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.6200000047683716,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1984095207","https://openalex.org/W1987920560","https://openalex.org/W1991113069","https://openalex.org/W1999244633","https://openalex.org/W2003218991","https://openalex.org/W2022478295","https://openalex.org/W2058089969","https://openalex.org/W2068159227","https://openalex.org/W2099632444","https://openalex.org/W2109663804","https://openalex.org/W2112342795","https://openalex.org/W2113049544","https://openalex.org/W2115801545","https://openalex.org/W2118879253","https://openalex.org/W2137500378","https://openalex.org/W2144133758","https://openalex.org/W2149184914","https://openalex.org/W2157842043","https://openalex.org/W2158365276","https://openalex.org/W2164295333","https://openalex.org/W2164583551","https://openalex.org/W2165572747","https://openalex.org/W2538506363"],"related_works":["https://openalex.org/W3027020613","https://openalex.org/W2016533837","https://openalex.org/W3167885074","https://openalex.org/W2892386716","https://openalex.org/W1998563493","https://openalex.org/W4306164210","https://openalex.org/W4313316311","https://openalex.org/W4362608745","https://openalex.org/W2383143032","https://openalex.org/W2148204638"],"abstract_inverted_index":{"This":[0,88],"paper":[1],"presents":[2],"an":[3,68,111],"approach":[4,105],"for":[5,115],"the":[6,31,34,37,48,52,61,79,82,85,92,96,104,116,121,126],"extraction":[7],"of":[8,13,36,63,70,84,128],"vasculature":[9,93],"from":[10,81],"a":[11,21,40,58,75],"volume":[12,50,80],"Magnetic":[14],"Resonance":[15],"Angiography":[16],"(MRA)":[17],"images":[18],"by":[19],"using":[20],"3D":[22],"wave":[23,77,89,117],"propagation":[24],"and":[25,33,94,119,134],"traceback":[26,122],"mechanism.":[27],"We":[28,124],"discuss":[29,120],"both":[30],"theory":[32],"implementation":[35],"approach.":[38],"Using":[39],"dual-sigmoidal":[41],"filter,":[42],"we":[43,73,109],"label":[44],"each":[45],"voxel":[46],"in":[47],"MRA":[49],"with":[51],"likelihood":[53,65],"that":[54],"it":[55],"is":[56,106],"within":[57],"vessel.":[59],"Representing":[60],"reciprocal":[62],"this":[64],"image":[66,131,138],"as":[67],"array":[69],"refractive":[71],"indices,":[72],"propagate":[74],"digital":[76],"through":[78],"base":[83],"vascular":[86,97],"tree.":[87],"'washes'":[90],"over":[91],"extracts":[95],"tree,":[98],"ignoring":[99],"local":[100],"noise":[101],"perturbations.":[102],"While":[103],"inherently":[107],"SIMD":[108],"present":[110],"efficient":[112],"sequential":[113],"algorithm":[114,133],"propagation,":[118],"algorithm.":[123],"demonstrate":[125],"effectiveness":[127],"our":[129],"integer":[130],"neighborhood-based":[132],"its":[135],"robustness":[136],"to":[137],"noise.":[139]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}