{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,21]],"date-time":"2025-06-21T04:03:20Z","timestamp":1750478600948,"version":"3.41.0"},"publisher-location":"Cham","reference-count":23,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031945588","type":"print"},{"value":"9783031945595","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"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":[[2025]]},"DOI":"10.1007\/978-3-031-94559-5_36","type":"book-chapter","created":{"date-parts":[[2025,6,20]],"date-time":"2025-06-20T12:15:51Z","timestamp":1750421751000},"page":"400-409","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Comparison of\u00a0Image-Driven, Patient-Specific, Direct Numerical Simulations to\u00a04D Flow MRI in\u00a0the\u00a0Right Ventricle"],"prefix":"10.1007","author":[{"given":"Ibrahim Nasuh","family":"Yildiran","sequence":"first","affiliation":[]},{"given":"Francesco","family":"Capuano","sequence":"additional","affiliation":[]},{"given":"Yue-Hin","family":"Loke","sequence":"additional","affiliation":[]},{"given":"Laura J.","family":"Olivieri","sequence":"additional","affiliation":[]},{"given":"Elias","family":"Balaras","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,5,29]]},"reference":[{"issue":"1","key":"36_CR1","doi-asserted-by":"publisher","first-page":"40","DOI":"10.1186\/s12968-023-00942-z","volume":"25","author":"MM Bissell","year":"2023","unstructured":"Bissell, M.M., et al.: 4d flow cardiovascular magnetic resonance consensus statement: 2023 update. J. Cardiovasc. Magn. Reson. 25(1), 40 (2023)","journal-title":"J. Cardiovasc. Magn. Reson."},{"issue":"3","key":"36_CR2","doi-asserted-by":"publisher","DOI":"10.1002\/cnm.3678","volume":"39","author":"M Bucelli","year":"2023","unstructured":"Bucelli, M., Zingaro, A., Africa, P.C., Fumagalli, I., Dede\u2019, L., Quarteroni, A.: A mathematical model that integrates cardiac electrophysiology, mechanics, and fluid dynamics: application to the human left heart. Int. J. Numer. Methods Biomed. Eng. 39(3), e3678 (2023)","journal-title":"Int. J. Numer. Methods Biomed. Eng."},{"key":"36_CR3","doi-asserted-by":"crossref","unstructured":"B\u00f4ne, A., Louis, M., Martin, B., Durrleman, S.: Deformetrica 4: an open-source software for statistical shape analysis (2018)","DOI":"10.1007\/978-3-030-04747-4_1"},{"key":"36_CR4","doi-asserted-by":"publisher","unstructured":"Chnafa, C., Mendez, S., Nicoud, F.: Image-based large-eddy simulation in a realistic left heart. Comput. Fluids 94, 173\u2013187 (2014). https:\/\/doi.org\/10.1016\/j.compfluid.2014.01.030, https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0045793014000486","DOI":"10.1016\/j.compfluid.2014.01.030"},{"key":"36_CR5","doi-asserted-by":"publisher","unstructured":"Collia, D., Vukicevic, M., Meschini, V., Zovatto, L., Pedrizzetti, G.: Simplified mitral valve modeling for prospective clinical application of left ventricular fluid dynamics. J. Comput. Phys. 398, 108895 (2019). https:\/\/doi.org\/10.1016\/j.jcp.2019.108895, https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0021999119305935","DOI":"10.1016\/j.jcp.2019.108895"},{"key":"36_CR6","doi-asserted-by":"publisher","unstructured":"Davey, M., et al.: Simulating cardiac fluid dynamics in the human heart. PNAS Nexus 3(10), 392 (2024). https:\/\/doi.org\/10.1093\/pnasnexus\/pgae392","DOI":"10.1093\/pnasnexus\/pgae392"},{"key":"36_CR7","doi-asserted-by":"crossref","unstructured":"Demirkiran, A., et al.: Clinical intra-cardiac 4d flow CMR: acquisition, analysis, and clinical applications. Eur. Heart J. Cardiovasc. Imaging 23(2), 154\u2013165 (2021)","DOI":"10.1093\/ehjci\/jeab112"},{"key":"36_CR8","doi-asserted-by":"publisher","unstructured":"Feng, L., Gao, H., Luo, X.: Whole-heart modelling with valves in a fluid-structure interaction framework. Comput. Methods Appl. Mech. Eng. 420, 116724 (2024). https:\/\/doi.org\/10.1016\/j.cma.2023.116724, https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0045782523008472","DOI":"10.1016\/j.cma.2023.116724"},{"issue":"1","key":"36_CR9","doi-asserted-by":"publisher","first-page":"49","DOI":"10.1186\/s12968-022-00882-0","volume":"24","author":"M Gorecka","year":"2022","unstructured":"Gorecka, M., Bissell, M.M., Higgins, D.M., Garg, P., Plein, S., Greenwood, J.P.: Rationale and clinical applications of 4D flow cardiovascular magnetic resonance in assessment of valvular heart disease: a comprehensive review. J. Cardiovasc. Magn. Reson. 24(1), 49 (2022)","journal-title":"J. Cardiovasc. Magn. Reson."},{"key":"36_CR10","doi-asserted-by":"publisher","DOI":"10.1016\/j.cma.2021.113960","volume":"384","author":"EL Johnson","year":"2021","unstructured":"Johnson, E.L., Laurence, D.W., Xu, F., Crisp, C.E., Mir, A., Burkhart, H.M., Lee, C.H., Hsu, M.C.: Parameterization, geometric modeling, and isogeometric analysis of tricuspid valves. Comput. Methods Appl. Mech. Eng. 384, 113960 (2021)","journal-title":"Comput. Methods Appl. Mech. Eng."},{"key":"36_CR11","doi-asserted-by":"crossref","unstructured":"Kikinis, R., Pieper, S.D., Vosburgh, K.G.: 3D slicer: a platform for subject-specific image analysis, visualization, and clinical support, pp. 277\u2013289. Springer, New York (2014)","DOI":"10.1007\/978-1-4614-7657-3_19"},{"issue":"8","key":"36_CR12","doi-asserted-by":"publisher","first-page":"1112","DOI":"10.1007\/s10439-018-2024-8","volume":"46","author":"F Kong","year":"2018","unstructured":"Kong, F., et al.: Finite element analysis of tricuspid valve deformation from multi-slice computed tomography images. Ann. Biomed. Eng. 46(8), 1112\u20131127 (2018)","journal-title":"Ann. Biomed. Eng."},{"key":"36_CR13","doi-asserted-by":"crossref","unstructured":"Lee, C.H., et al.: Mechanics of the tricuspid valve-from clinical diagnosis\/treatment, in-vivo and in-vitro investigations, to patient-specific biomechanical modeling. Bioengineering 6(2) (2019)","DOI":"10.3390\/bioengineering6020047"},{"issue":"1","key":"36_CR14","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1007\/s13239-021-00558-3","volume":"13","author":"YH Loke","year":"2022","unstructured":"Loke, Y.H., Capuano, F., Balaras, E., Olivieri, L.J.: Computational modeling of right ventricular motion and intracardiac flow in repaired tetralogy of fallot. Cardiovasc. Eng. Technol. 13(1), 41\u201354 (2022)","journal-title":"Cardiovasc. Eng. Technol."},{"issue":"4","key":"36_CR15","doi-asserted-by":"publisher","first-page":"H1064","DOI":"10.1152\/ajpheart.00804.2002","volume":"284","author":"A Pasipoularides","year":"2003","unstructured":"Pasipoularides, A., Shu, M., Shah, A., Womack, M.S., Glower, D.D.: Diastolic right ventricular filling vortex in normal and volume overload states. Am. J. Physiol. Heart Circ. Physiol. 284(4), H1064-72 (2003)","journal-title":"Am. J. Physiol. Heart Circ. Physiol."},{"key":"36_CR16","doi-asserted-by":"publisher","first-page":"422","DOI":"10.1016\/j.jcp.2017.09.047","volume":"351","author":"A Posa","year":"2017","unstructured":"Posa, A., Vanella, M., Balaras, E.: An adaptive reconstruction for Lagrangian, direct-forcing, immersed-boundary methods. J. Comput. Phys. 351, 422\u2013436 (2017)","journal-title":"J. Comput. Phys."},{"issue":"3","key":"36_CR17","doi-asserted-by":"publisher","first-page":"459","DOI":"10.1161\/01.CIR.41.3.459","volume":"41","author":"N Ranganathan","year":"1970","unstructured":"Ranganathan, N., Lam, J., Wigle, E.D., Silver, M.D.: Morphology of the human mitral valve. Circulation 41(3), 459\u2013467 (1970)","journal-title":"Circulation"},{"issue":"6","key":"36_CR18","doi-asserted-by":"publisher","first-page":"1422","DOI":"10.1007\/s10439-019-02243-y","volume":"47","author":"S Singh-Gryzbon","year":"2019","unstructured":"Singh-Gryzbon, S., Sadri, V., Toma, M., Pierce, E.L., Wei, Z.A., Yoganathan, A.P.: Development of a computational method for simulating tricuspid valve dynamics. Ann. Biomed. Eng. 47(6), 1422\u20131434 (2019)","journal-title":"Ann. Biomed. Eng."},{"issue":"10","key":"36_CR19","doi-asserted-by":"publisher","first-page":"1213","DOI":"10.1016\/j.medengphy.2010.08.013","volume":"32","author":"M Stevanella","year":"2010","unstructured":"Stevanella, M., Votta, E., Lemma, M., Antona, C., Redaelli, A.: Finite element modelling of the tricuspid valve: a preliminary study. Med. Eng. Phys. 32(10), 1213\u20131223 (2010)","journal-title":"Med. Eng. Phys."},{"key":"36_CR20","doi-asserted-by":"publisher","first-page":"6617","DOI":"10.1016\/j.jcp.2009.06.003","volume":"228","author":"M Vanella","year":"2009","unstructured":"Vanella, M., Balaras, E.: A moving-least-squares reconstruction for embedded-boundary formulations. J. Comput. Phys. 228, 6617\u20136628 (2009)","journal-title":"J. Comput. Phys."},{"key":"36_CR21","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevFluids.8.100502","volume":"8","author":"F Viola","year":"2023","unstructured":"Viola, F., Del Corso, G., Verzicco, R.: High-fidelity model of the human heart: an immersed boundary implementation. Phys. Rev. Fluids 8, 100502 (2023)","journal-title":"Phys. Rev. Fluids"},{"key":"36_CR22","doi-asserted-by":"publisher","DOI":"10.1016\/j.jcp.2024.113057","volume":"510","author":"IN Yildiran","year":"2024","unstructured":"Yildiran, I.N., Beratlis, N., Capuano, F., Loke, Y.H., Squires, K., Balaras, E.: Pressure boundary conditions for immersed-boundary methods. J. Comput. Phys. 510, 113057 (2024)","journal-title":"J. Comput. Phys."},{"key":"36_CR23","doi-asserted-by":"publisher","DOI":"10.1016\/j.jcp.2024.112885","volume":"504","author":"A Zingaro","year":"2024","unstructured":"Zingaro, A., Bucelli, M., Piersanti, R., Regazzoni, F., Dede\u2019, L., Quarteroni, A.: An electromechanics-driven fluid dynamics model for the simulation of the whole human heart. J. Comput. Phys. 504, 112885 (2024)","journal-title":"J. Comput. Phys."}],"container-title":["Lecture Notes in Computer Science","Functional Imaging and Modeling of the Heart"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-94559-5_36","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,20]],"date-time":"2025-06-20T12:15:54Z","timestamp":1750421754000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-94559-5_36"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9783031945588","9783031945595"],"references-count":23,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-94559-5_36","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"29 May 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"The authors have no competing interests to declare that are relevant to the content of this article","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Disclosure of Interests"}},{"value":"FIMH","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Functional Imaging and Modeling of the Heart","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Dallas, TX","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"USA","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2 June 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4 June 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"fimh2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/fimh2025.sciencesconf.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}