{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T19:36:07Z","timestamp":1783020967564,"version":"3.54.6"},"reference-count":32,"publisher":"Wiley","license":[{"start":{"date-parts":[[2021,10,31]],"date-time":"2021-10-31T00:00:00Z","timestamp":1635638400000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Summit Program of Foshan","award":["2019B008"],"award-info":[{"award-number":["2019B008"]}]},{"name":"Summit Program of Foshan","award":["1210318663"],"award-info":[{"award-number":["1210318663"]}]},{"name":"Summit Program of Foshan","award":["62001462"],"award-info":[{"award-number":["62001462"]}]},{"name":"Summit Program of Foshan","award":["12071075"],"award-info":[{"award-number":["12071075"]}]},{"name":"Summit Program of Foshan","award":["FS0AA-KJ218-1301-0021"],"award-info":[{"award-number":["FS0AA-KJ218-1301-0021"]}]},{"name":"Summit Program of Foshan","award":["84113Y0008"],"award-info":[{"award-number":["84113Y0008"]}]},{"name":"Shenzhen Science and Technology Program","award":["2019B008"],"award-info":[{"award-number":["2019B008"]}]},{"name":"Shenzhen Science and Technology Program","award":["1210318663"],"award-info":[{"award-number":["1210318663"]}]},{"name":"Shenzhen Science and Technology Program","award":["62001462"],"award-info":[{"award-number":["62001462"]}]},{"name":"Shenzhen Science and Technology Program","award":["12071075"],"award-info":[{"award-number":["12071075"]}]},{"name":"Shenzhen Science and Technology Program","award":["FS0AA-KJ218-1301-0021"],"award-info":[{"award-number":["FS0AA-KJ218-1301-0021"]}]},{"name":"Shenzhen Science and Technology Program","award":["84113Y0008"],"award-info":[{"award-number":["84113Y0008"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["2019B008"],"award-info":[{"award-number":["2019B008"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["1210318663"],"award-info":[{"award-number":["1210318663"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62001462"],"award-info":[{"award-number":["62001462"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["12071075"],"award-info":[{"award-number":["12071075"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["FS0AA-KJ218-1301-0021"],"award-info":[{"award-number":["FS0AA-KJ218-1301-0021"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["84113Y0008"],"award-info":[{"award-number":["84113Y0008"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Science and Technology Innovation Project of Foshan","award":["2019B008"],"award-info":[{"award-number":["2019B008"]}]},{"name":"Science and Technology Innovation Project of Foshan","award":["1210318663"],"award-info":[{"award-number":["1210318663"]}]},{"name":"Science and Technology Innovation Project of Foshan","award":["62001462"],"award-info":[{"award-number":["62001462"]}]},{"name":"Science and Technology Innovation Project of Foshan","award":["12071075"],"award-info":[{"award-number":["12071075"]}]},{"name":"Science and Technology Innovation Project of Foshan","award":["FS0AA-KJ218-1301-0021"],"award-info":[{"award-number":["FS0AA-KJ218-1301-0021"]}]},{"name":"Science and Technology Innovation Project of Foshan","award":["84113Y0008"],"award-info":[{"award-number":["84113Y0008"]}]},{"name":"Peking-Baidu Foundation","award":["2019B008"],"award-info":[{"award-number":["2019B008"]}]},{"name":"Peking-Baidu Foundation","award":["1210318663"],"award-info":[{"award-number":["1210318663"]}]},{"name":"Peking-Baidu Foundation","award":["62001462"],"award-info":[{"award-number":["62001462"]}]},{"name":"Peking-Baidu Foundation","award":["12071075"],"award-info":[{"award-number":["12071075"]}]},{"name":"Peking-Baidu Foundation","award":["FS0AA-KJ218-1301-0021"],"award-info":[{"award-number":["FS0AA-KJ218-1301-0021"]}]},{"name":"Peking-Baidu Foundation","award":["84113Y0008"],"award-info":[{"award-number":["84113Y0008"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Journal of Healthcare Engineering"],"published-print":{"date-parts":[[2021,10,31]]},"abstract":"<jats:p>Circle of Willis (CoW) is the most critical collateral pathway that supports the redistribution of blood supply in the brain. The variation of CoW is closely correlated with cerebral hemodynamic and cerebral vessel-related diseases. But what is responsible for CoW variation remains unclear. Moreover, the visual evaluation for CoW variation is highly time-consuming. In the present study, based on the computer tomography angiography (CTA) dataset from 255 patients, the correlation between the CoW variations with age, gender, and cerebral or cervical artery stenosis was investigated. A multitask convolutional neural network (CNN) was used to segment cerebral arteries automatically. The results showed the prevalence of variation of the anterior communicating artery (Aco) was higher in the normal senior group than in the normal young group and in females than in males. The changes in the prevalence of variations of individual segments were not demonstrated in the population with stenosis of the afferent and efferent arteries, so the critical factors for variation are related to genetic or physiological factors rather than pathological lesions. Using the multitask CNN model, complete cerebral and cervical arteries could be segmented and reconstructed in 120 seconds, and an average Dice coefficient of 78.2% was achieved. The segmentation accuracy for precommunicating part of anterior cerebral artery and posterior cerebral artery, the posterior communicating arteries, and Aco in CoW was 100%, 99.2%, 94%, and 69%, respectively. Artificial intelligence (AI) can be considered as an adjunct tool for detecting the CoW, particularly related to reducing workload and improving the accuracy of the visual evaluation. The study will serve as a basis for the following research to determine an individual\u2019s risk of stroke with the aid of AI.<\/jats:p>","DOI":"10.1155\/2021\/6024352","type":"journal-article","created":{"date-parts":[[2021,10,31]],"date-time":"2021-10-31T20:50:46Z","timestamp":1635713446000},"page":"1-8","source":"Crossref","is-referenced-by-count":4,"title":["Relationship between Circle of Willis Variations and Cerebral or Cervical Arteries Stenosis Investigated by Computer Tomography Angiography and Multitask Convolutional Neural Network"],"prefix":"10.1155","volume":"2021","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0449-6026","authenticated-orcid":true,"given":"Jin","family":"Hou","sequence":"first","affiliation":[{"name":"Department of Radiology, The 2nd Affiliated Hospital of Guangzhou Medical University, Guangzhou 510260, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4563-1653","authenticated-orcid":true,"given":"Ming Yong","family":"Gao","sequence":"additional","affiliation":[{"name":"Department of Radiology, Research Institute for Translation Medicine on Molecular Function and Artificial Intelligence Imaging, The First People\u2019s Hospital of Foshan, Foshan 528000, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ai Zhen","family":"Pan","sequence":"additional","affiliation":[{"name":"Department of Radiology, Research Institute for Translation Medicine on Molecular Function and Artificial Intelligence Imaging, The First People\u2019s Hospital of Foshan, Foshan 528000, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2466-0030","authenticated-orcid":true,"given":"Qiu Dian","family":"Wang","sequence":"additional","affiliation":[{"name":"Center for Human Anatomy, School of Biomedical Sciences, University of Edinburgh, Edinburgh EH8 9XD, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1686-1553","authenticated-orcid":true,"given":"Bin","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Interventional Medicine, The 2nd Hospital of Shandong University, Jinan 250033, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ya Bin","family":"Jin","sequence":"additional","affiliation":[{"name":"Clinical Research Institute, The First People\u2019s Hospital of Foshan, Foshan 528000, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jia Bin","family":"Lu","sequence":"additional","affiliation":[{"name":"Institute of Biomedical Engineering, Peking University Shenzhen Graduate School, Shenzhen 518055, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qing Yuan","family":"He","sequence":"additional","affiliation":[{"name":"Institute of Biomedical Engineering, Peking University Shenzhen Graduate School, Shenzhen 518055, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1665-8187","authenticated-orcid":true,"given":"Xiao Dong","family":"Zhang","sequence":"additional","affiliation":[{"name":"Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9720-8566","authenticated-orcid":true,"given":"Wei","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Radiology, Research Institute for Translation Medicine on Molecular Function and Artificial Intelligence Imaging, The First People\u2019s Hospital of Foshan, Foshan 528000, China"},{"name":"Institute of Biomedical Engineering, Peking University Shenzhen Graduate School, Shenzhen 518055, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1111\/ijs.12042"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1111\/jon.12103"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1007\/s00330-018-5577-x"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1016\/j.neulet.2004.08.019"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.1148\/radiology.207.1.9530305"},{"key":"6","doi-asserted-by":"crossref","first-page":"603","DOI":"10.32604\/cmc.2020.012515","article-title":"Fogmed: a fog-based framework for disease prognosis based medical sensor data streams","volume":"66","author":"L. Sun","year":"2021","journal-title":"Computers, Materials & Continua"},{"key":"7","first-page":"1841","article-title":"Limited-length suffix-array-based method for variable-length motif discovery in time series","volume":"19","author":"L. Sun","year":"2018","journal-title":"Journal of Internet Technology"},{"key":"8","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2017.07.005"},{"key":"9","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0206593"},{"key":"10","doi-asserted-by":"publisher","DOI":"10.1504\/ijsnet.2019.097806"},{"key":"11","doi-asserted-by":"publisher","DOI":"10.1145\/2806890"},{"key":"12","doi-asserted-by":"publisher","DOI":"10.3389\/fsurg.2020.517375"},{"key":"13","doi-asserted-by":"publisher","DOI":"10.1016\/j.compeleceng.2012.11.026"},{"key":"14","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2019.00097"},{"key":"15","doi-asserted-by":"publisher","DOI":"10.3389\/fninf.2020.00013"},{"key":"16","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2009.07.011"},{"key":"17","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2020.101918"},{"key":"18","doi-asserted-by":"publisher","DOI":"10.15354\/si.20.re069"},{"key":"19","first-page":"365","article-title":"Variation of the cerebral arterial circle (of willis) in man","volume":"38","author":"G. Chrzanowska","year":"1979","journal-title":"Folia Morphologica"},{"key":"20","doi-asserted-by":"publisher","DOI":"10.1111\/j.1439-0264.2003.00492.x"},{"key":"21","doi-asserted-by":"publisher","DOI":"10.1016\/j.acra.2017.11.017"},{"key":"22","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2377-6-22"},{"key":"23","doi-asserted-by":"publisher","DOI":"10.1016\/j.jocn.2010.07.137"},{"key":"24","doi-asserted-by":"publisher","DOI":"10.1159\/000098326"},{"key":"25","doi-asserted-by":"publisher","DOI":"10.1161\/01.str.30.12.2671"},{"key":"26","doi-asserted-by":"publisher","DOI":"10.1111\/j.1447-073x.2007.00216.x"},{"key":"27","doi-asserted-by":"publisher","DOI":"10.3171\/jns.2002.96.4.0697"},{"key":"28","doi-asserted-by":"publisher","DOI":"10.1002\/ar.1091850112"},{"key":"29","doi-asserted-by":"crossref","first-page":"247","DOI":"10.1007\/s10143-002-0227-8","article-title":"Comparative morphological variations and abnormalities of circles of willis: a minireview including two personal cases","volume":"25","author":"L. Vasovic","year":"2002","journal-title":"Neurosurgical Review"},{"key":"30","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-030-20351-1_43","article-title":"Semi-supervised brain lesion segmentation with an adapted mean teacher model","volume-title":"Information Processing in Medical Imaging","author":"W. Cui","year":"2019"},{"key":"31","doi-asserted-by":"publisher","DOI":"10.3389\/fninf.2019.00077"},{"key":"32","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2020.101851"}],"container-title":["Journal of Healthcare Engineering"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/jhe\/2021\/6024352.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/jhe\/2021\/6024352.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/jhe\/2021\/6024352.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,10,31]],"date-time":"2021-10-31T20:50:58Z","timestamp":1635713458000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.hindawi.com\/journals\/jhe\/2021\/6024352\/"}},"subtitle":[],"editor":[{"given":"Xiaoxia","family":"Yin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"editor"}]}],"short-title":[],"issued":{"date-parts":[[2021,10,31]]},"references-count":32,"alternative-id":["6024352","6024352"],"URL":"https:\/\/doi.org\/10.1155\/2021\/6024352","relation":{},"ISSN":["2040-2309","2040-2295"],"issn-type":[{"value":"2040-2309","type":"electronic"},{"value":"2040-2295","type":"print"}],"subject":[],"published":{"date-parts":[[2021,10,31]]}}}