{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T07:04:46Z","timestamp":1742972686632,"version":"3.40.3"},"publisher-location":"Cham","reference-count":15,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030333263"},{"type":"electronic","value":"9783030333270"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-33327-0_18","type":"book-chapter","created":{"date-parts":[[2019,10,12]],"date-time":"2019-10-12T07:52:05Z","timestamp":1570866725000},"page":"149-157","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Towards Quantifying Neurovascular Resilience"],"prefix":"10.1007","author":[{"given":"Stefano","family":"Moriconi","sequence":"first","affiliation":[]},{"given":"Rafael","family":"Rehwald","sequence":"additional","affiliation":[]},{"given":"Maria A.","family":"Zuluaga","sequence":"additional","affiliation":[]},{"given":"H. Rolf","family":"J\u00e4ger","sequence":"additional","affiliation":[]},{"given":"Parashkev","family":"Nachev","sequence":"additional","affiliation":[]},{"given":"S\u00e9bastien","family":"Ourselin","sequence":"additional","affiliation":[]},{"given":"M. Jorge","family":"Cardoso","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,10,12]]},"reference":[{"key":"18_CR1","unstructured":"Antiga, L., Steinman, D.: The vascular modeling toolkit (2008)"},{"key":"18_CR2","volume-title":"TubeTK, Segmentation, Registration, and Analysis of Tubular Structures in Images","author":"S Aylward","year":"2012","unstructured":"Aylward, S., et al.: TubeTK, Segmentation, Registration, and Analysis of Tubular Structures in Images. Kitware Inc., New York (2012)"},{"issue":"1","key":"18_CR3","first-page":"2550","volume":"26","author":"JR Cebral","year":"2005","unstructured":"Cebral, J.R., et al.: Characterization of cerebral aneurysms for assessing risk of rupture by using patient-specific computational hemodynamics models. Am. J. Neuroradiol. 26(1), 2550\u20132559 (2005)","journal-title":"Am. J. Neuroradiol."},{"issue":"8","key":"18_CR4","doi-asserted-by":"publisher","first-page":"2440","DOI":"10.1109\/TIP.2015.2417683","volume":"24","author":"Y Cheng","year":"2015","unstructured":"Cheng, Y., et al.: Accurate vessel segmentation with constrained B-snake. IEEE Trans. Image Process. 24(8), 2440\u20132455 (2015)","journal-title":"IEEE Trans. Image Process."},{"key":"18_CR5","doi-asserted-by":"publisher","first-page":"83","DOI":"10.1016\/j.jbiomech.2016.12.004","volume":"51","author":"C Chnafa","year":"2017","unstructured":"Chnafa, C., et al.: Improved reduced-order modelling of cerebrovascular flow distribution by accounting for arterial bifurcation pressure drops. J. Biomech. 51, 83\u201388 (2017)","journal-title":"J. Biomech."},{"issue":"149","key":"18_CR6","doi-asserted-by":"publisher","first-page":"20180546","DOI":"10.1098\/rsif.2018.0546","volume":"15","author":"FE Fossan","year":"2018","unstructured":"Fossan, F.E., et al.: Optimization of topological complexity for one-dimensional arterial blood flow models. J. Royal Soc. Interface 15(149), 20180546 (2018)","journal-title":"J. Royal Soc. Interface"},{"key":"18_CR7","doi-asserted-by":"crossref","unstructured":"Mathers, C., et al.: The global burden of disease: 2004 Update. World Health Organization (2008)","DOI":"10.1016\/B978-012373960-5.00335-X"},{"issue":"1","key":"18_CR8","first-page":"225","volume":"38","author":"S Moriconi","year":"2018","unstructured":"Moriconi, S., et al.: Inference of cerebrovascular topology with geodesic minimum spanning trees. IEEE TMI 38(1), 225\u2013239 (2018)","journal-title":"IEEE TMI"},{"key":"18_CR9","doi-asserted-by":"publisher","first-page":"121","DOI":"10.1016\/j.medengphy.2017.08.009","volume":"49","author":"O Onaizah","year":"2017","unstructured":"Onaizah, O., et al.: A model of blood supply to the brain via the carotid arteries: effects of obstructive vs. sclerotic changes. Med. Eng. Phys. 49, 121\u2013130 (2017)","journal-title":"Med. Eng. Phys."},{"issue":"10","key":"18_CR10","doi-asserted-by":"publisher","first-page":"101009","DOI":"10.1115\/1.4031331","volume":"137","author":"J Ryu","year":"2015","unstructured":"Ryu, J., et al.: A coupled lumped-parameter and distributed network model for cerebral pulse-wave hemodynamics. J. Biomech. Eng. 137(10), 101009 (2015)","journal-title":"J. Biomech. Eng."},{"issue":"11","key":"18_CR11","doi-asserted-by":"publisher","first-page":"2500","DOI":"10.1161\/01.STR.0000144648.89172.0f","volume":"35","author":"M Shojima","year":"2004","unstructured":"Shojima, M., et al.: Magnitude and role of wall shear stress on cerebral aneurysm: computational fluid dynamic study of 20 MCA aneurysms. Stroke 35(11), 2500\u20132505 (2004)","journal-title":"Stroke"},{"issue":"5","key":"18_CR12","doi-asserted-by":"publisher","first-page":"1118","DOI":"10.1067\/mva.2003.122","volume":"37","author":"D Steinman","year":"2003","unstructured":"Steinman, D., et al.: Computational modeling of arterial biomechanics: insights into pathogenesis and treatment of vascular disease. J. Vasc. Surg. 37(5), 1118\u20131128 (2003)","journal-title":"J. Vasc. Surg."},{"key":"18_CR13","first-page":"3514","volume":"198","author":"C Taylor","year":"2009","unstructured":"Taylor, C., Humphrey, J.: Open problems in computational vascular biomechanics: hemodynamics and arterial wall mechanics. CMAME 198, 3514\u20133523 (2009)","journal-title":"CMAME"},{"issue":"2","key":"18_CR14","doi-asserted-by":"publisher","first-page":"381","DOI":"10.1007\/s11831-017-9246-z","volume":"26","author":"B Urick","year":"2017","unstructured":"Urick, B., et al.: Review of patient-specific vascular modeling: template-based isogeometric framework and the case for CAD. Arch. Comput. Methods Eng. 26(2), 381\u2013404 (2017)","journal-title":"Arch. Comput. Methods Eng."},{"key":"18_CR15","unstructured":"Vitturi, M.D.: Navier-stokes equations in cylindrical coordinates (2016)"}],"container-title":["Lecture Notes in Computer Science","Machine Learning and Medical Engineering for Cardiovascular Health and Intravascular Imaging and Computer Assisted Stenting"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-33327-0_18","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,12]],"date-time":"2024-10-12T00:22:10Z","timestamp":1728692530000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-33327-0_18"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030333263","9783030333270"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-33327-0_18","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"12 October 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CVII-STENT","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Joint MICCAI-Workshops on Computing and Visualization for Intravascular Imaging and Computer Assisted Stenting","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Shenzhen","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 October 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 October 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"cvii2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/sites.google.com\/view\/cviistent2019\/home","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}