{"id":"https://openalex.org/W4385555014","doi":"https://doi.org/10.58530/2022/3158","title":"Automatic analysis of carotid vessel wall in MR black blood images using custom convolutional trajectories","display_name":"Automatic analysis of carotid vessel wall in MR black blood images using custom convolutional trajectories","publication_year":2023,"publication_date":"2023-08-03","ids":{"openalex":"https://openalex.org/W4385555014","doi":"https://doi.org/10.58530/2022/3158"},"language":"en","primary_location":{"id":"doi:10.58530/2022/3158","doi":"https://doi.org/10.58530/2022/3158","is_oa":false,"landing_page_url":"http://dx.doi.org/10.58530/2022/3158","pdf_url":null,"source":{"id":"https://openalex.org/S4393917449","display_name":"Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition","issn_l":"1524-6965","issn":["1524-6965","1545-4428"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"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":"ISMRM Annual Meeting","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5102547829","display_name":"Shuai Shen","orcid":"https://orcid.org/0000-0003-3003-9881","observed_orcids":["https://orcid.org/0000-0003-3003-9881"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shuai Shen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109463533","display_name":"Wenjing Xu","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wenjing Xu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066320639","display_name":"Hongbing Ma","orcid":"https://orcid.org/0000-0002-1174-4078","observed_orcids":["https://orcid.org/0000-0002-1174-4078"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hongbing Ma","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084962743","display_name":"Xiaoyi Lv","orcid":"https://orcid.org/0000-0001-6855-7428","observed_orcids":["https://orcid.org/0000-0001-6855-7428"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaoyi Lv","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089338603","display_name":"Guanxun Cheng","orcid":"https://orcid.org/0000-0001-9168-1670","observed_orcids":["https://orcid.org/0000-0001-9168-1670","https://orcid.org/0000-0002-9764-8174"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guanxun Cheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015014397","display_name":"Liwen Wan","orcid":"https://orcid.org/0009-0004-3340-3778","observed_orcids":["https://orcid.org/0009-0004-3340-3778","https://orcid.org/0009-0009-2872-8101"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liwen Wan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100433899","display_name":"Lei Zhang","orcid":"https://orcid.org/0000-0002-2078-4215","observed_orcids":["https://orcid.org/0000-0002-2078-4215","https://orcid.org/0000-0002-7528-420X","https://orcid.org/0000-0002-8494-0504","https://orcid.org/0009-0000-7022-5086","https://orcid.org/0000-0003-1520-9360","https://orcid.org/0000-0001-7453-1224","https://orcid.org/0000-0001-5732-2973","https://orcid.org/0000-0002-6302-8348","https://orcid.org/0000-0002-4424-4942"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lei Zhang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Ye Li","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ye Li","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107191592","display_name":"Dong Liang","orcid":"https://orcid.org/0000-0001-6257-0875","observed_orcids":["https://orcid.org/0000-0001-6257-0875","https://orcid.org/0000-0003-1358-9777","https://orcid.org/0000-0003-0821-7960"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dong Liang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115594797","display_name":"Xin Liu","orcid":"https://orcid.org/0000-0002-7857-3058","observed_orcids":["https://orcid.org/0000-0002-7857-3058"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xin Liu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024833275","display_name":"Hairong Zheng","orcid":"https://orcid.org/0000-0002-8558-5102","observed_orcids":["https://orcid.org/0000-0002-8558-5102","https://orcid.org/0000-0003-2237-4102"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hairong Zheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5100385245","display_name":"Na Zhang","orcid":"https://orcid.org/0000-0001-9510-4520","observed_orcids":["https://orcid.org/0000-0001-9510-4520"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Na Zhang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"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":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9657999873161316,"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":0.9657999873161316,"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/T10816","display_name":"Cerebrovascular and Carotid Artery Diseases","score":0.025499999523162842,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"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/T11438","display_name":"Retinal Imaging and Analysis","score":0.0032999999821186066,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/carotid-artery","display_name":"carotid artery","score":0.8659999966621399},{"id":"https://openalex.org/keywords/vessel-wall-segmentation","display_name":"vessel wall segmentation","score":0.9330000281333923},{"id":"https://openalex.org/keywords/atherosclerotic-plaque","display_name":"atherosclerotic plaque","score":0.8889999985694885},{"id":"https://openalex.org/keywords/black-blood-mri","display_name":"black-blood imaging","score":0.7239999771118164},{"id":"https://openalex.org/keywords/ischemic-stroke","display_name":"ischemic stroke","score":0.7509999871253967},{"id":"https://openalex.org/keywords/deep-learning-segmentation","display_name":"deep learning segmentation","score":0.6460000276565552}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.8195478916168213},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.69142085313797},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5748129487037659},{"id":"https://openalex.org/C3020090656","wikidata":"https://www.wikidata.org/wiki/Q9655","display_name":"Arterial wall","level":2,"score":0.5597869157791138},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5341631174087524},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46654343605041504},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4616019129753113},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4114895761013031},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.19069504737854004},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.08914250135421753}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.58530/2022/3158","doi":"https://doi.org/10.58530/2022/3158","is_oa":false,"landing_page_url":"http://dx.doi.org/10.58530/2022/3158","pdf_url":null,"source":{"id":"https://openalex.org/S4393917449","display_name":"Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition","issn_l":"1524-6965","issn":["1524-6965","1545-4428"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"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":"ISMRM Annual Meeting","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8371999859809875,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3204447960","https://openalex.org/W4281865656","https://openalex.org/W4401575164","https://openalex.org/W4410974578","https://openalex.org/W2792925479","https://openalex.org/W4398185479","https://openalex.org/W3215538359","https://openalex.org/W4385557195","https://openalex.org/W7155508393","https://openalex.org/W4401571811"],"abstract_inverted_index":{"Atherosclerotic":[0],"plaque":[1],"is":[2,55],"a":[3,67],"major":[4],"cause":[5],"of":[6,36,50,78,88],"ischemic":[7],"stroke.":[8],"Some":[9],"arterial":[10,44,79],"morphological":[11,45],"features":[12],"obtained":[13],"from":[14],"MR":[15],"vessel":[16,37,80,89],"wall":[17,81,90],"images":[18],"show":[19],"great":[20],"potential":[21],"for":[22,60,75],"identifying":[23],"high-risk":[24],"plaques.":[25],"Deep":[26],"learning":[27],"has":[28],"now":[29],"been":[30],"applied":[31],"to":[32,39],"the":[33,48,51,83,86],"automatic":[34,76],"segmentation":[35,53,69,77],"walls":[38],"accurately":[40],"and":[41,82],"efficiently":[42],"measure":[43],"features.":[46],"However,":[47],"accuracy":[49,87],"existing":[52],"methods":[54],"not":[56],"yet":[57],"high":[58],"enough":[59],"clinical":[61],"practical":[62],"applications.":[63],"This":[64],"study":[65],"proposed":[66],"new":[68],"framework":[70,84],"with":[71],"custom":[72],"convolutional":[73],"trajectories":[74],"improved":[85],"segmentation.":[91]},"counts_by_year":[],"updated_date":"2026-11-06T12:05:46.655746","created_date":"2023-08-04T00:00:00"}