{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,13]],"date-time":"2026-09-13T01:47:11Z","timestamp":1789264031864,"version":"build-2803163510"},"reference-count":54,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2024,11,26]],"date-time":"2024-11-26T00:00:00Z","timestamp":1732579200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2024,11,26]],"date-time":"2024-11-26T00:00:00Z","timestamp":1732579200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"DOI":"10.13039\/501100004837","name":"Ministerio de Ciencia e Innovaci\u00f3n","doi-asserted-by":"publisher","award":["PID2022-140219OB-I00"],"award-info":[{"award-number":["PID2022-140219OB-I00"]}],"id":[{"id":"10.13039\/501100004837","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004837","name":"Ministerio de Ciencia e Innovaci\u00f3n","doi-asserted-by":"publisher","award":["PID2022-140219OB-I00"],"award-info":[{"award-number":["PID2022-140219OB-I00"]}],"id":[{"id":"10.13039\/501100004837","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004837","name":"Ministerio de Ciencia e Innovaci\u00f3n","doi-asserted-by":"publisher","award":["PID2022-140219OB-I00"],"award-info":[{"award-number":["PID2022-140219OB-I00"]}],"id":[{"id":"10.13039\/501100004837","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100010067","name":"Gobierno de Arag\u00f3n","doi-asserted-by":"publisher","award":["CUS\/581\/2020"],"award-info":[{"award-number":["CUS\/581\/2020"]}],"id":[{"id":"10.13039\/501100010067","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100009664","name":"Sociedad Espa\u00f1ola de Cardiolog\u00eda","doi-asserted-by":"publisher","award":["SEC\/FEC-INV-CLI 21\/030"],"award-info":[{"award-number":["SEC\/FEC-INV-CLI 21\/030"]}],"id":[{"id":"10.13039\/100009664","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100009664","name":"Sociedad Espa\u00f1ola de Cardiolog\u00eda","doi-asserted-by":"publisher","award":["SEC\/FEC-INV-CLI 21\/030"],"award-info":[{"award-number":["SEC\/FEC-INV-CLI 21\/030"]}],"id":[{"id":"10.13039\/100009664","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100009664","name":"Sociedad Espa\u00f1ola de Cardiolog\u00eda","doi-asserted-by":"publisher","award":["SEC\/FEC-INV-CLI 21\/030"],"award-info":[{"award-number":["SEC\/FEC-INV-CLI 21\/030"]}],"id":[{"id":"10.13039\/100009664","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100009664","name":"Sociedad Espa\u00f1ola de Cardiolog\u00eda","doi-asserted-by":"publisher","award":["SEC\/FEC-INV-CLI 21\/030"],"award-info":[{"award-number":["SEC\/FEC-INV-CLI 21\/030"]}],"id":[{"id":"10.13039\/100009664","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004587","name":"Instituto de Salud Carlos III","doi-asserted-by":"publisher","award":["PI19\/01480"],"award-info":[{"award-number":["PI19\/01480"]}],"id":[{"id":"10.13039\/501100004587","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004587","name":"Instituto de Salud Carlos III","doi-asserted-by":"publisher","award":["PI19\/01480"],"award-info":[{"award-number":["PI19\/01480"]}],"id":[{"id":"10.13039\/501100004587","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004587","name":"Instituto de Salud Carlos III","doi-asserted-by":"publisher","award":["PI19\/01480"],"award-info":[{"award-number":["PI19\/01480"]}],"id":[{"id":"10.13039\/501100004587","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004587","name":"Instituto de Salud Carlos III","doi-asserted-by":"publisher","award":["PI19\/01480"],"award-info":[{"award-number":["PI19\/01480"]}],"id":[{"id":"10.13039\/501100004587","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100010434","name":"'la Caixa' Foundation","doi-asserted-by":"publisher","award":["LCF\/BQ\/PR22\/11920008"],"award-info":[{"award-number":["LCF\/BQ\/PR22\/11920008"]}],"id":[{"id":"10.13039\/100010434","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100007041","name":"Universidad de Zaragoza","doi-asserted-by":"crossref","id":[{"id":"10.13039\/501100007041","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Biomech Model Mechanobiol"],"published-print":{"date-parts":[[2025,2]]},"abstract":"<jats:title>Abstract<\/jats:title>\n          <jats:p>An ascending aortic aneurysm is an often asymptomatic localized dilatation of the aorta. Aortic rupture is a life-threatening event that occurs when the stress on the aortic wall exceeds its mechanical strength. Therefore, patient-specific finite element models could play an important role in estimating the risk of rupture. This requires not only the geometry of the aorta but also the nonlinear anisotropic properties of the tissue. In this study, we presented a methodology to estimate the mechanical properties of the aorta from magnetic resonance imaging (MRI). As a theoretical framework, we used finite element models to which we added noise to simulate clinical data from real patient geometry and different properties of healthy and aneurysmal aortic tissues collected from the literature. The proposed methodology considered the nonlinear properties, the zero pressure geometry, the heart motion, and the external tissue support. In addition, we analyzed the aorta as a homogeneous material and as a heterogeneous model with different properties for the ascending and descending parts. The methodology was also applied to pre-surgical,<jats:italic>in vivo<\/jats:italic> MRI data of a patient who underwent surgery during which an aortic wall sample was obtained. The results were compared with those obtained from <jats:italic>ex vivo<\/jats:italic> biaxial test of the patient\u2019s tissue sample. The methodology showed promising results after successfully recovering the nonlinear anisotropic material properties of all analyzed cases. This study demonstrates that the variable used during the optimization process can affect the result. In particular, variables such as principal strains were found to obtain more realistic materials than the displacement field.<\/jats:p>","DOI":"10.1007\/s10237-024-01907-6","type":"journal-article","created":{"date-parts":[[2024,11,26]],"date-time":"2024-11-26T03:54:38Z","timestamp":1732593278000},"page":"233-250","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Estimating nonlinear anisotropic properties of healthy and aneurysm ascending aortas using magnetic resonance imaging"],"prefix":"10.1007","volume":"24","author":[{"given":"\u00c1lvaro T.","family":"Latorre Molins","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Andrea","family":"Guala","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lydia","family":"Dux-Santoy","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gisela","family":"Teixid\u00f3-Tur\u00e0","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jos\u00e9 Fernando","family":"Rodr\u00edguez-Palomares","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Miguel \u00c1ngel","family":"Mart\u00ednez Barca","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Estefan\u00eda","family":"Pe\u00f1a Baquedano","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,11,26]]},"reference":[{"issue":"1","key":"1907_CR1","doi-asserted-by":"publisher","first-page":"176","DOI":"10.1109\/TBME.2014.2343673","volume":"62","author":"F Auricchio","year":"2015","unstructured":"Auricchio F, Conti M, Ferrara A, Lanzarone E (2015) A clinically applicable stochastic approach for noninvasive estimation of aortic stiffness using computed tomography data. IEEE Trans Biomed Eng 62(1):176\u2013187. https:\/\/doi.org\/10.1109\/TBME.2014.2343673","journal-title":"IEEE Trans Biomed Eng"},{"issue":"6","key":"1907_CR2","doi-asserted-by":"publisher","first-page":"644","DOI":"10.1080\/10255842.2019.1577828","volume":"22","author":"EA Audenaert","year":"2019","unstructured":"Audenaert EA, Houcke JV, Almeida DF, Paelinck L, Peiffer M, Steenackers G, Vandermeulen D (2019) Cascaded statistical shape model based segmentation of the full lower limb in ct. Comput Method Biomech Biomed Eng 22(6):644\u2013657. https:\/\/doi.org\/10.1080\/10255842.2019.1577828","journal-title":"Comput Method Biomech Biomed Eng"},{"key":"1907_CR3","doi-asserted-by":"publisher","first-page":"968","DOI":"10.1007\/s10439-015-1410-8","volume":"44","author":"AC Akyildiz","year":"2016","unstructured":"Akyildiz AC, Hansen HH, Nieuwstadt HA, Speelman L, De Korte CL, Steen AF, Gijsen FJ (2016) A framework for local mechanical characterization of atherosclerotic plaques: combination of ultrasound displacement imaging and inverse finite element analysis. Annals of Biomed Eng 44:968\u2013979. https:\/\/doi.org\/10.1007\/s10439-015-1410-8","journal-title":"Annals of Biomed Eng"},{"key":"1907_CR4","unstructured":"Audenaert EA (2023) nonrigidICP. https:\/\/www.mathworks.com\/matlabcentral\/fileexchange\/41396-nonrigidicp"},{"key":"1907_CR5","doi-asserted-by":"publisher","first-page":"10","DOI":"10.1016\/j.cam.2012.10.034","volume":"246","author":"J Bols","year":"2013","unstructured":"Bols J, Degroote J, Trachet B, Verhegghe B, Segers P, Vierendeels J (2013) A computational method to assess the in vivo stresses and unloaded configuration of patient-specific blood vessels. J Comput Appl Math 246:10\u201317. https:\/\/doi.org\/10.1016\/j.cam.2012.10.034","journal-title":"J Comput Appl Math"},{"key":"1907_CR6","doi-asserted-by":"publisher","unstructured":"Bianchini E, L\u00f8nnebakken MT, Wohlfahrt P, Piskin S, Terentes-Printzios D, Alastruey J, Guala A (2023) Magnetic resonance imaging and computed tomography for the noninvasive assessment of arterial aging: a review by the vascagenet cost action. Journal of the American Heart Association 12(10) https:\/\/doi.org\/10.1161\/JAHA.122.027414","DOI":"10.1161\/JAHA.122.027414"},{"issue":"6","key":"1907_CR7","doi-asserted-by":"publisher","first-page":"1103","DOI":"10.5555\/uri:pii:003960608290174X","volume":"92","author":"LK Bickerstaff","year":"1982","unstructured":"Bickerstaff LK, Pairolero PC, Hollier LH, Melton LJ, Van Peenen HJ, Cherry KJ, Joyce JW, Lie JT (1982) Thoracic aortic aneurysms: a population-based study. Surgery 92(6):1103\u20131108. https:\/\/doi.org\/10.5555\/uri:pii:003960608290174X","journal-title":"Surgery"},{"issue":"22","key":"1907_CR8","doi-asserted-by":"publisher","first-page":"1926","DOI":"10.1001\/jama.280.22.1926","volume":"280","author":"WD Clouse","year":"1998","unstructured":"Clouse WD, Hallett JW Jr, Schaff HV, Gayari MM, Ilstrup DM, Melton LJ III (1998) Improved prognosis of thoracic aortic aneurysms: a population-based study. Jama 280(22):1926\u20131929","journal-title":"Jama"},{"key":"1907_CR9","doi-asserted-by":"publisher","DOI":"10.3389\/fbioe.2019.00169","author":"C Cavinato","year":"2019","unstructured":"Cavinato C, Molimard J, Curt N, Campisi S, Org\u00e9as L, Badel P (2019) Does the knowledge of the local thickness of human ascending thoracic aneurysm walls improve their mechanical analysis? Front Bioeng Biotechnol. https:\/\/doi.org\/10.3389\/fbioe.2019.00169","journal-title":"Front Bioeng Biotechnol"},{"key":"1907_CR10","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1016\/j.actbio.2023.08.016","volume":"169","author":"F Cosentino","year":"2023","unstructured":"Cosentino F, Sherifova S, Sommer G, Raffa G, Pilato M, Pasta S, Holzapfel GA (2023) Regional biomechanical characterization of human ascending aortic aneurysms: microstructure and biaxial mechanical response. Acta Biomaterialia 169:107\u2013117. https:\/\/doi.org\/10.1016\/j.actbio.2023.08.016","journal-title":"Acta Biomaterialia"},{"issue":"1","key":"1907_CR11","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1161\/01.RES.23.1.61","volume":"23","author":"TE Carew","year":"1968","unstructured":"Carew TE, Vaishnav RN, Patel DJ (1968) Compressibility of the arterial wall. Circul Res 23(1):61\u201368. https:\/\/doi.org\/10.1161\/01.RES.23.1.61","journal-title":"Circul Res"},{"key":"1907_CR12","doi-asserted-by":"publisher","DOI":"10.1007\/s00330-021-08273-2","author":"L Dux-Santoy","year":"2022","unstructured":"Dux-Santoy L, Rodr\u00edguez-Palomares JF, Teixid\u00f3-Tur\u00e0 G, Ruiz-Mu\u00f1oz A, Casas G, Valente F, Servato ML, Galian-Gay L, Guti\u00e9rrez L, Gonz\u00e1lez-Alujas T et al (2022) Registration-based semi-automatic assessment of aortic diameter growth rate from contrast-enhanced computed tomography outperforms manual quantification. Euro Radiol. https:\/\/doi.org\/10.1007\/s00330-021-08273-2","journal-title":"Euro Radiol"},{"key":"1907_CR13","doi-asserted-by":"publisher","first-page":"273","DOI":"10.1016\/j.actbio.2016.06.028","volume":"42","author":"A Duprey","year":"2016","unstructured":"Duprey A, Trabelsi O, Vola M, Favre J-P, Avril S (2016) Biaxial rupture properties of ascending thoracic aortic aneurysms. Acta Biomaterialia 42:273\u2013285. https:\/\/doi.org\/10.1016\/j.actbio.2016.06.028","journal-title":"Acta Biomaterialia"},{"issue":"9","key":"1907_CR14","doi-asserted-by":"publisher","first-page":"841","DOI":"10.1016\/j.jacc.2009.08.084","volume":"55","author":"JA Elefteriades","year":"2010","unstructured":"Elefteriades JA, Farkas EA (2010) Thoracic aortic aneurysm. J Am College Cardiol 55(9):841\u2013857. https:\/\/doi.org\/10.1016\/j.jacc.2009.08.084","journal-title":"J Am College Cardiol"},{"key":"1907_CR15","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1053\/j.semtcvs.2021.02.029","volume":"34","author":"RG Melo","year":"2022","unstructured":"Melo RG, Duarte GS, Lopes A, Alves M, Caldeira D, Fernandes RF, Pedro LM (2022) Incidence and prevalence of thoracic aortic aneurysms: a systematic review and meta-analysis of population-based studies. Seminars in Thoracic and Cardiovas Surg 34:1\u201316. https:\/\/doi.org\/10.1053\/j.semtcvs.2021.02.029","journal-title":"Seminars in Thoracic and Cardiovas Surg"},{"issue":"4","key":"1907_CR16","doi-asserted-by":"publisher","first-page":"724","DOI":"10.1067\/mva.2003.213","volume":"37","author":"MF Fillinger","year":"2003","unstructured":"Fillinger MF, Marra SP, Raghavan ML, Kennedy FE (2003) Prediction of rupture risk in abdominal aortic aneurysm during observation: wall stress versus diameter. J Vasc Surg 37(4):724\u2013732. https:\/\/doi.org\/10.1067\/mva.2003.213","journal-title":"J Vasc Surg"},{"key":"1907_CR17","doi-asserted-by":"publisher","first-page":"137","DOI":"10.1007\/s10237-018-1073-0","volume":"18","author":"S Farzaneh","year":"2019","unstructured":"Farzaneh S, Trabelsi O, Avril S (2019) Inverse identification of local stiffness across ascending thoracic aortic aneurysms. Biomech Model Mechanobiol 18:137\u2013153. https:\/\/doi.org\/10.1007\/s10237-018-1073-0","journal-title":"Biomech Model Mechanobiol"},{"key":"1907_CR18","doi-asserted-by":"publisher","first-page":"1038","DOI":"10.1007\/s10439-019-02204-5","volume":"47","author":"S Farzaneh","year":"2019","unstructured":"Farzaneh S, Trabelsi O, Chavent B, Avril S (2019) Identifying local arterial stiffness to assess the risk of rupture of ascending thoracic aortic aneurysms. Annals of Biomed Eng 47:1038\u20131050. https:\/\/doi.org\/10.1007\/s10439-019-02204-5","journal-title":"Annals of Biomed Eng"},{"key":"1907_CR19","doi-asserted-by":"publisher","unstructured":"Gasser TC (2017) Chapter 8 - Aorta. In: Payan, Y., Ohayon, J. (eds.) Biomechanics of Living Organs. Translational Epigenetics, vol. 1, pp. 169\u2013191. Academic Press, Oxford. https:\/\/doi.org\/10.1016\/B978-0-12-804009-6.00008-0","DOI":"10.1016\/B978-0-12-804009-6.00008-0"},{"issue":"6","key":"1907_CR20","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1098\/rsif.2005.0073","volume":"3","author":"TC Gasser","year":"2006","unstructured":"Gasser TC, Ogden RW, Holzapfel GA (2006) Hyperelastic modelling of arterial layers with distributed collagen fibre orientations. J Royal Soc Interfac 3(6):15\u201335","journal-title":"J Royal Soc Interfac"},{"key":"1907_CR21","doi-asserted-by":"publisher","first-page":"683","DOI":"10.1007\/s10237-020-01410-8","volume":"20","author":"X He","year":"2021","unstructured":"He X, Avril S, Lu J (2021) Estimating aortic thoracic aneurysm rupture risk using tension-strain data in physiological pressure range: an in vitro study. Biomech Model Mechanobiol 20:683\u2013699. https:\/\/doi.org\/10.1007\/s10237-020-01410-8","journal-title":"Biomech Model Mechanobiol"},{"key":"1907_CR22","doi-asserted-by":"publisher","first-page":"212","DOI":"10.1145\/321062.321069","volume":"2","author":"R Hooke","year":"1961","unstructured":"Hooke R, Jeeves TA (1961) \u201cDirect search\u2019\u2019 solution of numerical and statistical problems. J Assoc Comput Machine 2:212\u2013229","journal-title":"J Assoc Comput Machine"},{"key":"1907_CR23","doi-asserted-by":"publisher","first-page":"725","DOI":"10.1007\/s10237-010-0209-7","volume":"9","author":"D Haskett","year":"2010","unstructured":"Haskett D, Johnson G, Zhou A, Utzinger U, Geest JV (2010) Microstructural and biomechanical alterations of the human aorta as a function of age and location. Biomech Model Mechanobiol 9:725\u2013736. https:\/\/doi.org\/10.1007\/s10237-010-0209-7","journal-title":"Biomech Model Mechanobiol"},{"issue":"6","key":"1907_CR24","doi-asserted-by":"publisher","first-page":"985","DOI":"10.1016\/S0741-5214(95)70227-X","volume":"21","author":"G Johansson","year":"1995","unstructured":"Johansson G, Markstr\u00f6m U, Swedenborg J (1995) Ruptured thoracic aortic aneurysms: a study of incidence and mortality rates. J Vasc Surg 21(6):985\u2013988. https:\/\/doi.org\/10.1016\/S0741-5214(95)70227-X","journal-title":"J Vasc Surg"},{"key":"1907_CR25","doi-asserted-by":"publisher","first-page":"148","DOI":"10.1016\/j.jmbbm.2017.05.001","volume":"72","author":"M Liu","year":"2017","unstructured":"Liu M, Liang L, Sun W (2017) A new inverse method for estimation of in vivo mechanical properties of the aortic wall. J Mech Behav Biomed Mater 72:148\u2013158. https:\/\/doi.org\/10.1016\/j.jmbbm.2017.05.001","journal-title":"J Mech Behav Biomed Mater"},{"key":"1907_CR26","doi-asserted-by":"publisher","first-page":"649","DOI":"10.1016\/j.jmbbm.2017.10.022","volume":"77","author":"M Liu","year":"2018","unstructured":"Liu M, Liang L, Sun W (2018) Estimation of in vivo mechanical properties of the aortic wall: a multi-resolution direct search approach. J Mech Behav Biomed Mater 77:649\u2013659. https:\/\/doi.org\/10.1016\/j.jmbbm.2017.10.022","journal-title":"J Mech Behav Biomed Mater"},{"key":"1907_CR27","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-019-49438-w","author":"M Liu","year":"2019","unstructured":"Liu M, Liang L, Sulejmani F, Lou X, Iannucci G, Chen E, Leshnower B, Sun W (2019) Identification of in vivo nonlinear anisotropic mechanical properties of ascending thoracic aortic aneurysm from patient-specific CT scans. Sci Report. https:\/\/doi.org\/10.1038\/s41598-019-49438-w","journal-title":"Sci Report"},{"key":"1907_CR28","doi-asserted-by":"publisher","DOI":"10.3389\/fbioe.2023.1304278","author":"AT Latorre","year":"2023","unstructured":"Latorre AT, Mart\u00ednez MA, Pe\u00f1a E (2023) Characterizing atherosclerotic tissues: in silico analysis of mechanical properties using intravascular ultrasound and inverse finite element methods. Front Bioeng Biotechnol. https:\/\/doi.org\/10.3389\/fbioe.2023.1304278","journal-title":"Front Bioeng Biotechnol"},{"key":"1907_CR29","doi-asserted-by":"publisher","DOI":"10.1016\/j.compstruc.2023.107241","volume":"292","author":"N Laita","year":"2024","unstructured":"Laita N, Rosales RM, Wu M, Claus P, Janssens S, Mart\u00ednez M, Doblar\u00e9 M, Pe\u00f1a E (2024) On modeling the in vivo ventricular passive mechanical behavior from in vitro experimental properties in porcine hearts. Comput & Struct 292:107241. https:\/\/doi.org\/10.1016\/j.compstruc.2023.107241","journal-title":"Comput & Struct"},{"key":"1907_CR30","unstructured":"McNeel R, et al (2010) Rhinoceros 3d, version 6.0. Robert McNeel & Associates, Seattle WA"},{"key":"1907_CR31","doi-asserted-by":"publisher","first-page":"1765","DOI":"10.1007\/s10237-017-0918-2","volume":"16","author":"SJ Mousavi","year":"2017","unstructured":"Mousavi SJ, Avril S (2017) Patient-specific stress analyses in the ascending thoracic aorta using a finite-element implementation of the constrained mixture theory. Biomech Model Mechanobiol 16:1765\u20131777. https:\/\/doi.org\/10.1007\/s10237-017-0918-2","journal-title":"Biomech Model Mechanobiol"},{"key":"1907_CR32","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s10237-011-0289-z","volume":"11","author":"P Moireau","year":"2012","unstructured":"Moireau P, Xiao N, Astorino M, Figueroa CA, Chapelle D, Taylor CA, Gerbeau JF (2012) External tissue support and fluid-structure simulation in blood flows. Biomech Model Mechanobiol 11:1\u201318. https:\/\/doi.org\/10.1007\/s10237-011-0289-z","journal-title":"Biomech Model Mechanobiol"},{"key":"1907_CR33","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbiomech.2022.111351","author":"D O\u2019Rourke","year":"2022","unstructured":"O\u2019Rourke D, Surman TL, Abrahams JM, Edwards J, Reynolds KJ (2022) Predicting rupture locations of ascending aortic aneurysms using CT-based finite element models. J Biomech. https:\/\/doi.org\/10.1016\/j.jbiomech.2022.111351","journal-title":"J Biomech"},{"key":"1907_CR34","doi-asserted-by":"publisher","first-page":"434","DOI":"10.1016\/j.jmbbm.2017.10.007","volume":"77","author":"JA Pe\u00f1a","year":"2018","unstructured":"Pe\u00f1a JA, Corral V, Martinez MA, Pena E (2018) Over length quantification of the multiaxial mechanical properties of the ascending, descending and abdominal aorta using digital image correlation. J Mech Behav Biomedl Mater 77:434\u2013445. https:\/\/doi.org\/10.1016\/j.jmbbm.2017.10.007","journal-title":"J Mech Behav Biomedl Mater"},{"key":"1907_CR35","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1007\/s10237-020-01371-y","volume":"20","author":"SZ Pagoulatou","year":"2021","unstructured":"Pagoulatou SZ, Ferraro M, Trachet B, Bikia V, Rovas G, Crowe LA, Vall\u00e9e JP, Adamopoulos D, Stergiopulos N (2021) The effect of the elongation of the proximal aorta on the estimation of the aortic wall distensibility. Biomech Model Mechanobiol 20:107\u2013119. https:\/\/doi.org\/10.1007\/s10237-020-01371-y","journal-title":"Biomech Model Mechanobiol"},{"issue":"12","key":"1907_CR36","doi-asserted-by":"publisher","first-page":"2618","DOI":"10.1109\/TMI.2015.2450992","volume":"34","author":"J Por\u00e9e","year":"2015","unstructured":"Por\u00e9e J, Garcia D, Chayer B, Ohayon J, Cloutier G (2015) Noninvasive vascular elastography with plane strain incompressibility assumption using ultrafast coherent compound plane wave imaging. IEEE Trans Med Imag 34(12):2618\u20132631. https:\/\/doi.org\/10.1109\/TMI.2015.2450992","journal-title":"IEEE Trans Med Imag"},{"key":"1907_CR37","doi-asserted-by":"crossref","unstructured":"Pape, L.A., Tsai, T.T., Isselbacher, E.M., Oh, J.K., O\u2019Gara, P.T., Evangelista, A., Fattori, R., Meinhardt, G., Trimarchi, S., Bossone, E. and Suzuki, T., 2007. Aortic diameter\u2265 55 cm is not a good predictor of type A aortic dissection: observations from the International Registry of Acute Aortic Dissection (IRAD). Circulation, 116(10), pp.1120-1127","DOI":"10.1161\/CIRCULATIONAHA.107.702720"},{"key":"1907_CR38","doi-asserted-by":"publisher","first-page":"694","DOI":"10.1007\/s10439-012-0712-3","volume":"41","author":"F Riveros","year":"2013","unstructured":"Riveros F, Chandra S, Finol EA, Gasser TC, Rodriguez JF (2013) A pull-back algorithm to determine the unloaded vascular geometry in anisotropic hyperelastic aaa passive mechanics. Annals of Biomed Eng 41:694\u2013708. https:\/\/doi.org\/10.1007\/s10439-012-0712-3","journal-title":"Annals of Biomed Eng"},{"issue":"1115\/1","key":"1907_CR39","first-page":"4024578","volume":"10","author":"SS Raut","year":"2013","unstructured":"Raut SS, Jana A, De Oliveira V, Muluk SC, Finol EA (2013) The importance of patient-specific regionally varying wall thickness in abdominal aortic aneurysm biomechanics. J Biomech Eng 10(1115\/1):4024578","journal-title":"J Biomech Eng"},{"key":"1907_CR40","doi-asserted-by":"publisher","first-page":"1414","DOI":"10.1007\/s10439-006-9115-7","volume":"34","author":"ML Raghavan","year":"2006","unstructured":"Raghavan ML, Ma B, Fillinger MF (2006) Non-invasive determination of zero-pressure geometry of arterial aneurysms. Annals of Biomed Eng 34:1414\u20131419. https:\/\/doi.org\/10.1007\/s10439-006-9115-7","journal-title":"Annals of Biomed Eng"},{"key":"1907_CR41","doi-asserted-by":"publisher","first-page":"705","DOI":"10.1007\/s10237-016-0848-4","volume":"16","author":"M Smoljkic","year":"2017","unstructured":"Smoljkic M, Fehervary H, Bergh PV, Jorge-Pe\u00f1as A, Kluyskens L, Dymarkowski S, Verbrugghe P, Meuris B, Sloten JV, Famaey N (2017) Biomechanical characterization of ascending aortic aneurysms. Biomech Model Mechanobiol 16:705\u2013720. https:\/\/doi.org\/10.1007\/s10237-016-0848-4","journal-title":"Biomech Model Mechanobiol"},{"key":"1907_CR42","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1016\/j.ijcha.2015.01.009","volume":"6","author":"E Saliba","year":"2015","unstructured":"Saliba E, Sia Y, Dore A, El Hamamsy I (2015) The ascending aortic aneurysm: when to intervene? Int J Cardiol Heart & Vasc 6:91\u2013100. https:\/\/doi.org\/10.1016\/j.ijcha.2015.01.009","journal-title":"Int J Cardiol Heart & Vasc"},{"key":"1907_CR43","doi-asserted-by":"publisher","first-page":"2356","DOI":"10.1093\/eurheartj\/ehab784","volume":"43","author":"L Sharples","year":"2022","unstructured":"Sharples L, Sastry P, Freeman C, Bicknell C, Chiu YD, Vallabhaneni SR, Cook A, Gray J, Mccarthy A, Mcmeekin P, Vale L, Large S (2022) Aneurysm growth, survival, and quality of life in untreated thoracic aortic aneurysms: the effective treatments for thoracic aortic aneurysms study. Euro Heart J 43:2356\u20132369. https:\/\/doi.org\/10.1093\/eurheartj\/ehab784","journal-title":"Euro Heart J"},{"key":"1907_CR44","doi-asserted-by":"publisher","first-page":"84","DOI":"10.1007\/s10439-015-1374-8","volume":"44","author":"O Trabelsi","year":"2016","unstructured":"Trabelsi O, Duprey A, Favre JP, Avril S (2016) Predictive models with patient specific material properties for the biomechanical behavior of ascending thoracic aneurysms. Annals of Biomed Eng 44:84\u201398. https:\/\/doi.org\/10.1007\/s10439-015-1374-8","journal-title":"Annals of Biomed Eng"},{"key":"1907_CR45","doi-asserted-by":"publisher","first-page":"1836","DOI":"10.1016\/j.jbiomech.2015.04.035","volume":"48","author":"O Trabelsi","year":"2015","unstructured":"Trabelsi O, Davis FM, Rodriguez-Matas JF, Duprey A, Avril S (2015) Patient specific stress and rupture analysis of ascending thoracic aneurysms. J Biomech 48:1836\u20131843. https:\/\/doi.org\/10.1016\/j.jbiomech.2015.04.035","journal-title":"J Biomech"},{"key":"1907_CR46","doi-asserted-by":"publisher","first-page":"119","DOI":"10.1016\/j.jbiomech.2017.11.012","volume":"66","author":"O Trabelsi","year":"2018","unstructured":"Trabelsi O, Gutierrez M, Farzaneh S, Duprey A, Avril S (2018) A non-invasive methodology for ATAA rupture risk estimation. J Biomech 66:119\u2013126. https:\/\/doi.org\/10.1016\/j.jbiomech.2017.11.012","journal-title":"J Biomech"},{"key":"1907_CR47","doi-asserted-by":"publisher","first-page":"2128","DOI":"10.1109\/TMTT.2019.2915298","volume":"67","author":"HM Torun","year":"2019","unstructured":"Torun HM, Swaminathan M (2019) High-dimensional global optimization method for high-frequency electronic design. IEEE Trans Microwave Theory and Tech 67:2128\u20132142. https:\/\/doi.org\/10.1109\/TMTT.2019.2915298","journal-title":"IEEE Trans Microwave Theory and Tech"},{"key":"1907_CR48","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmbbm.2021.104996","author":"SG Torun","year":"2022","unstructured":"Torun SG, Torun HM, Hansen HHG, Korte CL, Steen AFW, Gijsen FJH, Akyildiz AC (2022) Multicomponent material property characterization of atherosclerotic human carotid arteries through a bayesian optimization based inverse finite element approach. J Mech Behav Biomed Mater. https:\/\/doi.org\/10.1016\/j.jmbbm.2021.104996","journal-title":"J Mech Behav Biomed Mater"},{"issue":"1","key":"1907_CR49","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1196\/annals.1383.046","volume":"1085","author":"JP Vande Geest","year":"2006","unstructured":"Vande Geest JP, Di Martino ES, Bohra A, Makaroun MS, Vorp DA (2006) A biomechanics-based rupture potential index for abdominal aortic aneurysm risk assessment: demonstrative application. Annals of the New York Academy of Sciences 1085(1):11\u201321. https:\/\/doi.org\/10.1196\/annals.1383.046","journal-title":"Annals of the New York Academy of Sciences"},{"key":"1907_CR50","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmbbm.2023.105922","author":"X Wang","year":"2023","unstructured":"Wang X, Carpenter HJ, Ghayesh MH, Kotousov A, Zander AC, Amabili M, Psaltis PJ (2023) A review on the biomechanical behaviour of the aorta. J Mech Behav Biomed Mater. https:\/\/doi.org\/10.1016\/j.jmbbm.2023.105922","journal-title":"J Mech Behav Biomed Mater"},{"key":"1907_CR51","doi-asserted-by":"publisher","first-page":"122","DOI":"10.1016\/j.jmbbm.2015.09.022","volume":"58","author":"A Wittek","year":"2016","unstructured":"Wittek A, Derwich W, Karatolios K, Fritzen CP, Vogt S, Schmitz-Rixen T, Blase C (2016) A finite element updating approach for identification of the anisotropic hyperelastic properties of normal and diseased aortic walls from 4d ultrasound strain imaging. Journal of the Mechanical Behavior of Biomedical Materials 58:122\u2013138. https:\/\/doi.org\/10.1016\/j.jmbbm.2015.09.022","journal-title":"Journal of the Mechanical Behavior of Biomedical Materials"},{"key":"1907_CR52","doi-asserted-by":"publisher","first-page":"93","DOI":"10.1016\/j.jmbbm.2012.03.012","volume":"12","author":"H Weisbecker","year":"2012","unstructured":"Weisbecker H, Pierce DM, Regitnig P, Holzapfel GA (2012) Layer-specific damage experiments and modeling of human thoracic and abdominal aortas with non-atherosclerotic intimal thickening. Journal of the Mechanical Behavior of Biomedical Materials 12:93\u2013106. https:\/\/doi.org\/10.1016\/j.jmbbm.2012.03.012","journal-title":"Journal of the Mechanical Behavior of Biomedical Materials"},{"key":"1907_CR53","doi-asserted-by":"crossref","unstructured":"Wolf I, Vetter M, Wegner I, Nolden M, B\u00f6ttger T, Hastenteufel M, Sch\u00f6binger M, Kunert T (2004) The Medical Imaging Interaction Toolkit (MITK) a toolkit facilitating the creation of interactive software by extending VTK and ITK. https:\/\/api.semanticscholar.org\/CorpusID:13817607","DOI":"10.1117\/12.535112"},{"key":"1907_CR54","unstructured":"Zhang R (2021) Patient specific imaging-based modeling of vessels. application to the assessment of pathologies in the thoracic aorta. Phd thesis, L\u2019Universite de Lyon, Lyon"}],"container-title":["Biomechanics and Modeling in Mechanobiology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10237-024-01907-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10237-024-01907-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10237-024-01907-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,22]],"date-time":"2025-02-22T19:05:01Z","timestamp":1740251101000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10237-024-01907-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11,26]]},"references-count":54,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2025,2]]}},"alternative-id":["1907"],"URL":"https:\/\/doi.org\/10.1007\/s10237-024-01907-6","relation":{},"ISSN":["1617-7959","1617-7940"],"issn-type":[{"value":"1617-7959","type":"print"},{"value":"1617-7940","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,11,26]]},"assertion":[{"value":"22 May 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"27 October 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"26 November 2024","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they do not have any conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}