{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T03:03:56Z","timestamp":1777431836752,"version":"3.51.4"},"publisher-location":"Cham","reference-count":30,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031353017","type":"print"},{"value":"9783031353024","type":"electronic"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"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":[[2023]]},"DOI":"10.1007\/978-3-031-35302-4_56","type":"book-chapter","created":{"date-parts":[[2023,6,15]],"date-time":"2023-06-15T07:02:40Z","timestamp":1686812560000},"page":"545-554","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Effect of\u00a0Varying Pericardial Boundary Conditions on\u00a0Whole Heart Function: A Computational Study"],"prefix":"10.1007","author":[{"given":"Justina","family":"Ghebryal","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Cristobal","family":"Rodero","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rosie K.","family":"Barrows","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marina","family":"Strocchi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Caroline H.","family":"Roney","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Christoph M.","family":"Augustin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gernot","family":"Plank","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Steven A.","family":"Niederer","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,6,16]]},"reference":[{"issue":"18","key":"56_CR1","doi-asserted-by":"publisher","first-page":"2910","DOI":"10.1161\/01.CIR.0000147538.92263.3A","volume":"110","author":"M Afanasyeva","year":"2004","unstructured":"Afanasyeva, M., Georgakopoulos, D., Fairweather, D., Caturegli, P., Kass, D., Rose, N.: Novel model of constrictive pericarditis associated with autoimmune heart disease in interferon-$$\\gamma $$-knockout mice. Circulation 110(18), 2910\u20132917 (2004)","journal-title":"Circulation"},{"issue":"3","key":"56_CR2","doi-asserted-by":"publisher","first-page":"289","DOI":"10.1007\/s10741-012-9309-z","volume":"18","author":"P Alter","year":"2013","unstructured":"Alter, P., Figiel, J., Rupp, R., Bachmann, G., Maisch, B., Rominger, M.: MR, CT, and PET imaging in pericardial disease. Heart Fail. Rev. 18(3), 289\u2013306 (2013)","journal-title":"Heart Fail. Rev."},{"key":"56_CR3","doi-asserted-by":"publisher","first-page":"114092","DOI":"10.1016\/j.cma.2021.114092","volume":"386","author":"C Augustin","year":"2021","unstructured":"Augustin, C., et al.: A computationally efficient physiologically comprehensive 3D\u20130D closed-loop model of the heart and circulation. Comput. Methods Appl. Mech. Eng. 386, 114092 (2021)","journal-title":"Comput. Methods Appl. Mech. Eng."},{"key":"56_CR4","doi-asserted-by":"publisher","first-page":"622","DOI":"10.1016\/j.jcp.2015.10.045","volume":"305","author":"C Augustin","year":"2016","unstructured":"Augustin, C., et al.: Anatomically accurate high resolution modeling of human whole heart electromechanics: a strongly scalable algebraic multigrid solver method for nonlinear deformation. J. Comput. Phys. 305, 622\u2013646 (2016)","journal-title":"J. Comput. Phys."},{"key":"56_CR5","first-page":"1","volume":"498","author":"R Barrows","year":"2022","unstructured":"Barrows, R., et al.: The effect of heart rate and atrial contraction on left ventricular function. Comput. Cardiol. 498, 1\u20134 (2022)","journal-title":"Comput. Cardiol."},{"key":"56_CR6","doi-asserted-by":"publisher","first-page":"83","DOI":"10.1016\/j.media.2018.01.005","volume":"45","author":"J Bayer","year":"2018","unstructured":"Bayer, J., et al.: Universal ventricular coordinates: a generic framework for describing position within the heart and transferring data. Med. Image Anal. 45, 83\u201393 (2018)","journal-title":"Med. Image Anal."},{"issue":"10","key":"56_CR7","doi-asserted-by":"publisher","first-page":"2243","DOI":"10.1007\/s10439-012-0593-5","volume":"40","author":"J Bayer","year":"2012","unstructured":"Bayer, J., Blake, R., Plank, G., Trayanova, N.: A novel rule-based algorithm for assigning myocardial fiber orientation to computational heart models. Ann. Biomed. Eng. 40(10), 2243\u20132254 (2012)","journal-title":"Ann. Biomed. Eng."},{"key":"56_CR8","doi-asserted-by":"crossref","unstructured":"Bitcon, C., Tousignant, C.: The effect of pericardial incision on right ventricular systolic function: a prospective observational study. Can. J. Anesth.\/J. Can. d\u2019anesth\u00e9sie 64(12), 1194\u20131201 (2017)","DOI":"10.1007\/s12630-017-0972-3"},{"key":"56_CR9","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.: A computational method to assess the in vivo stresses and unloaded configuration of patient-specific blood vessels. J. Comput. Appl. Math. 246, 10\u201317 (2013)","journal-title":"J. Comput. Appl. Math."},{"issue":"10","key":"56_CR10","doi-asserted-by":"publisher","first-page":"785","DOI":"10.1136\/hrt.2009.182345","volume":"96","author":"S Chang","year":"2010","unstructured":"Chang, S., Kim, H., Kim, Y., Cho, G., Oh, S., Sohn, D.: Role of pericardium in the maintenance of left ventricular twist. Heart 96(10), 785\u2013790 (2010)","journal-title":"Heart"},{"issue":"4","key":"56_CR11","doi-asserted-by":"publisher","first-page":"1084","DOI":"10.1016\/S0022-5223(19)34695-1","volume":"104","author":"G Daughters","year":"1992","unstructured":"Daughters, G., Frist, W., Alderman, E., Derby, G., Ingels, N., Jr., Miller, D.: Effects of the pericardium on left ventricular diastolic filling and systolic performance early after cardiac operations. J. Thorac. Cardiovasc. Surg. 104(4), 1084\u20131091 (1992)","journal-title":"J. Thorac. Cardiovasc. Surg."},{"issue":"11","key":"56_CR12","doi-asserted-by":"publisher","first-page":"1247","DOI":"10.3390\/math9111247","volume":"9","author":"T Gerach","year":"2021","unstructured":"Gerach, T., et al.: Electro-mechanical whole-heart digital twins: a fully coupled multi-physics approach. Mathematics 9(11), 1247 (2021)","journal-title":"Mathematics"},{"key":"56_CR13","doi-asserted-by":"crossref","unstructured":"Guccione, J., McCulloch, A., Waldman, L.: Passive material properties of intact ventricular myocardium determined from a cylindrical model (1991)","DOI":"10.1115\/1.2894084"},{"issue":"9","key":"56_CR14","doi-asserted-by":"publisher","first-page":"97","DOI":"10.21105\/joss.00097","volume":"2","author":"J Herman","year":"2017","unstructured":"Herman, J., Usher, W.: SALib: an open-source python library for sensitivity analysis. J. Open Source Softw. 2(9), 97 (2017)","journal-title":"J. Open Source Softw."},{"issue":"2173","key":"56_CR15","doi-asserted-by":"publisher","first-page":"20190334","DOI":"10.1098\/rsta.2019.0334","volume":"378","author":"S Longobardi","year":"2020","unstructured":"Longobardi, S., et al.: Predicting left ventricular contractile function via gaussian process emulation in aortic-banded rats. Phil. Trans. R. Soc. A 378(2173), 20190334 (2020)","journal-title":"Phil. Trans. R. Soc. A"},{"issue":"2","key":"56_CR16","doi-asserted-by":"publisher","first-page":"352","DOI":"10.1161\/01.CIR.61.2.352","volume":"61","author":"D Mangano","year":"1980","unstructured":"Mangano, D.: The effect of the pericardium on ventricular systolic function in man. Circulation 61(2), 352\u2013357 (1980)","journal-title":"Circulation"},{"issue":"1","key":"56_CR17","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s13019-017-0567-7","volume":"12","author":"K Marsh","year":"2017","unstructured":"Marsh, K., et al.: Anti-inflammatory properties of amniotic membrane patch following pericardiectomy for constrictive pericarditis. J. Cardiothorac. Surg. 12(1), 1\u20134 (2017)","journal-title":"J. Cardiothorac. Surg."},{"issue":"10","key":"56_CR18","doi-asserted-by":"publisher","first-page":"e0223838","DOI":"10.1371\/journal.pone.0223838","volume":"14","author":"D Melo","year":"2019","unstructured":"Melo, D., et al.: Impact of pericardiectomy on exercise capacity and sleep of patients with chronic constrictive pericarditis. PLoS ONE 14(10), e0223838 (2019)","journal-title":"PLoS ONE"},{"key":"56_CR19","doi-asserted-by":"publisher","first-page":"191","DOI":"10.1016\/j.jcp.2017.06.020","volume":"346","author":"A Neic","year":"2017","unstructured":"Neic, A., et al.: Efficient computation of electrograms and ECGs in human whole heart simulations using a reaction-eikonal model. J. Comput. Phys. 346, 191\u2013211 (2017)","journal-title":"J. Comput. Phys."},{"issue":"2","key":"56_CR20","doi-asserted-by":"publisher","first-page":"336","DOI":"10.1093\/cvr\/cvq318","volume":"89","author":"S Niederer","year":"2011","unstructured":"Niederer, S., et al.: Length-dependent tension in the failing heart and the efficacy of cardiac resynchronization therapy. Cardiovasc. Res. 89(2), 336\u2013343 (2011)","journal-title":"Cardiovasc. Res."},{"key":"56_CR21","doi-asserted-by":"publisher","first-page":"106223","DOI":"10.1016\/j.cmpb.2021.106223","volume":"208","author":"G Plank","year":"2021","unstructured":"Plank, G., et al.: The openCARP simulation environment for cardiac electrophysiology. Comput. Methods Programs Biomed. 208, 106223 (2021)","journal-title":"Comput. Methods Programs Biomed."},{"key":"56_CR22","first-page":"1","volume":"51","author":"C Rodero","year":"2022","unstructured":"Rodero, C., et al.: Calibration of cohorts of virtual patient heart models using Bayesian history matching. Ann. Biomed. Eng. 51, 1\u201312 (2022)","journal-title":"Ann. Biomed. Eng."},{"issue":"4","key":"56_CR23","doi-asserted-by":"publisher","first-page":"e1008851","DOI":"10.1371\/journal.pcbi.1008851","volume":"17","author":"C Rodero","year":"2021","unstructured":"Rodero, C., et al.: Linking statistical shape models and simulated function in the healthy adult human heart. PLoS Comput. Biol. 17(4), e1008851 (2021)","journal-title":"PLoS Comput. Biol."},{"key":"56_CR24","doi-asserted-by":"publisher","first-page":"65","DOI":"10.1016\/j.media.2019.04.004","volume":"55","author":"C Roney","year":"2019","unstructured":"Roney, C., et al.: Universal atrial coordinates applied to visualisation, registration and construction of patient specific meshes. Med. Image Anal. 55, 65\u201375 (2019)","journal-title":"Med. Image Anal."},{"issue":"12","key":"56_CR25","doi-asserted-by":"publisher","first-page":"1809","DOI":"10.1111\/echo.12973","volume":"32","author":"A R\u00f6sner","year":"2015","unstructured":"R\u00f6sner, A., et al.: Changes in right ventricular shape and deformation following coronary artery bypass surgery-insights from echocardiography with strain rate and magnetic resonance imaging. Echocardiography 32(12), 1809\u20131820 (2015)","journal-title":"Echocardiography"},{"issue":"2","key":"56_CR26","doi-asserted-by":"publisher","first-page":"259","DOI":"10.1016\/j.cpc.2009.09.018","volume":"181","author":"A Saltelli","year":"2010","unstructured":"Saltelli, A., Annoni, P., Azzini, I., Campolongo, F., Ratto, M., Tarantola, S.: Variance based sensitivity analysis of model output. design and estimator for the total sensitivity index. Comput. Phys. Commun. 181(2), 259\u2013270 (2010)","journal-title":"Comput. Phys. Commun."},{"issue":"12","key":"56_CR27","doi-asserted-by":"publisher","first-page":"e3140","DOI":"10.1002\/cnm.3140","volume":"34","author":"A Santiago","year":"2018","unstructured":"Santiago, A., et al.: Fully coupled fluid-electro-mechanical model of the human heart for supercomputers. Int. J. Numer. Methods Biomed. Eng. 34(12), e3140 (2018)","journal-title":"Int. J. Numer. Methods Biomed. Eng."},{"issue":"1\u20133","key":"56_CR28","doi-asserted-by":"publisher","first-page":"271","DOI":"10.1016\/S0378-4754(00)00270-6","volume":"55","author":"I Sobol","year":"2001","unstructured":"Sobol, I.: Global sensitivity indices for nonlinear mathematical models and their monte Carlo estimates. Math. Comput. Simul. 55(1\u20133), 271\u2013280 (2001)","journal-title":"Math. Comput. Simul."},{"key":"56_CR29","doi-asserted-by":"crossref","unstructured":"Simulating ventricular systolic motion in a four-chamber heart model with spatially varying robin boundary conditions to model the effect of the pericardium. J. Biomech. 101, 109645 (2020)","DOI":"10.1016\/j.jbiomech.2020.109645"},{"key":"56_CR30","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1016\/j.jelectrocard.2003.09.017","volume":"36","author":"E Vigmond","year":"2003","unstructured":"Vigmond, E., Hughes, M., Plank, G., Leon, L.: Computational tools for modeling electrical activity in cardiac tissue. J. Electrocardiol. 36, 69\u201374 (2003)","journal-title":"J. Electrocardiol."}],"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\/978-3-031-35302-4_56","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,9]],"date-time":"2023-08-09T15:10:39Z","timestamp":1691593839000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-35302-4_56"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031353017","9783031353024"],"references-count":30,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-35302-4_56","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"16 June 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"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":"Lyon","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"France","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 June 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 June 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"fimh2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/fimh2023.sciencesconf.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Eqiunocs","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"80","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"72","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"90% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}