{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,4]],"date-time":"2026-08-04T15:10:47Z","timestamp":1785856247187,"version":"3.56.0"},"publisher-location":"Cham","reference-count":11,"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_62","type":"book-chapter","created":{"date-parts":[[2023,6,15]],"date-time":"2023-06-15T07:02:40Z","timestamp":1686812560000},"page":"607-615","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Which Anatomical Directions to\u00a0Quantify Local Right Ventricular Strain in\u00a03D Echocardiography?"],"prefix":"10.1007","author":[{"given":"Maxime","family":"Di Folco","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Thomas","family":"Dargent","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gabriel","family":"Bernardino","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Patrick","family":"Clarysse","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nicolas","family":"Duchateau","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2023,6,16]]},"reference":[{"key":"62_CR1","doi-asserted-by":"publisher","first-page":"1463","DOI":"10.1016\/j.jacc.2018.12.076","volume":"73","author":"J Sanz","year":"2019","unstructured":"Sanz, J., S\u00e1nchez-Quintana, D., Bossone, E., Bogaard, H.J., Naeije, R.: Anatomy, function, and dysfunction of the right ventricle: JACC state-of-the-art review. J. Am. Coll. Cardiol. 73, 1463\u201382 (2019)","journal-title":"J. Am. Coll. Cardiol."},{"key":"62_CR2","doi-asserted-by":"crossref","unstructured":"Addetia, K., Muraru, D., Badano, L.P., Lang, R.M.: New directions in right ventricular assessment using 3-dimensional echocardiography. JAMA Cardiol. 4, 936\u201344 (2019)","DOI":"10.1001\/jamacardio.2019.2424"},{"key":"62_CR3","doi-asserted-by":"publisher","first-page":"201","DOI":"10.1016\/j.echo.2020.08.023","volume":"34","author":"N Duchateau","year":"2021","unstructured":"Duchateau, N., Moceri, P., Sermesant, M.: Direction-dependent decomposition of 3D right ventricular motion: beware of approximations. J. Am. Soc. Echocardiogr. 34, 201\u20133 (2021)","journal-title":"J. Am. Soc. Echocardiogr."},{"key":"62_CR4","doi-asserted-by":"crossref","unstructured":"D\u2019hooge, J., et al.: Regional strain and strain rate measurements by cardiac ultrasound: principles, implementation and limitations. Eur. J. Echocardiogr. 1, 154\u201370 (2000)","DOI":"10.1053\/euje.2000.0031"},{"key":"62_CR5","doi-asserted-by":"publisher","first-page":"995","DOI":"10.1016\/j.echo.2020.04.002","volume":"33","author":"BK Lakatos","year":"2020","unstructured":"Lakatos, B.K., Nabeshima, Y., Tokodi, M., Nagata, Y., T\u00f6s\u00e9r, Z., Otani, K., et al.: Importance of nonlongitudinal motion components in right ventricular function: three-dimensional echocardiographic study in healthy volunteers. J. Am. Soc. Echocardiogr. 33, 995-1005.e1 (2020)","journal-title":"J. Am. Soc. Echocardiogr."},{"key":"62_CR6","doi-asserted-by":"publisher","DOI":"10.3389\/fcvm.2021.622118","volume":"8","author":"M Tokodi","year":"2021","unstructured":"Tokodi, M., Staub, L., Budai, A., Lakatos, B.K., Cs\u00e1kv\u00e1ri, F.I., Suhai, M., et al.: Partitioning the right ventricle into 15 segments and decomposing its motion using 3D echocardiography-based models: the updated ReVISION method. Front. Cardiovasc. Med. 8, 622118 (2021)","journal-title":"Front. Cardiovasc. Med."},{"key":"62_CR7","doi-asserted-by":"publisher","first-page":"1174","DOI":"10.1093\/ehjci\/jeaa189","volume":"22","author":"P Moceri","year":"2021","unstructured":"Moceri, P., Duchateau, N., Gillon, S., Jaunay, L., Baudouy, D., Squara, F., et al.: Three-dimensional right ventricular shape and strain in congenital heart disease patients with right ventricular chronic volume loading. Eur. Heart J. Cardiovasc. Imaging 22, 1174\u201381 (2021)","journal-title":"Eur. Heart J. Cardiovasc. Imaging"},{"key":"62_CR8","doi-asserted-by":"publisher","first-page":"385","DOI":"10.1016\/j.echo.2018.10.001","volume":"32","author":"A Satriano","year":"2019","unstructured":"Satriano, A., Pournazari, P., Hirani, N., Helmersen, D., Thakrar, M., Weatherald, J., et al.: Characterization of right ventricular deformation in pulmonary arterial hypertension using three-dimensional principal strain analysis. J. Am. Soc. Echocardiogr. 32, 385\u201393 (2019)","journal-title":"J. Am. Soc. Echocardiogr."},{"key":"62_CR9","doi-asserted-by":"publisher","first-page":"647","DOI":"10.1137\/0216045","volume":"16","author":"J Mitchell","year":"1987","unstructured":"Mitchell, J., Mount, D., Papadimitriou, C.: The discrete geodesic problem. SIAM J. Comput. 16, 647\u201368 (1987)","journal-title":"SIAM J. Comput."},{"key":"62_CR10","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2021.102278","volume":"75","author":"M Di Folco","year":"2022","unstructured":"Di Folco, M., Moceri, P., Clarysse, P., Duchateau, N.: Characterizing interactions between cardiac shape and deformation by non-linear manifold learning. Med. Image Anal. 75, 102278 (2022)","journal-title":"Med. Image Anal."},{"key":"62_CR11","doi-asserted-by":"publisher","first-page":"1373","DOI":"10.1162\/089976603321780317","volume":"15","author":"M Belkin","year":"2003","unstructured":"Belkin, M., Niyogi, P.: Laplacian eigenmaps for dimensionality reduction and data representation. Neural Comput. 15, 1373\u201396 (2003)","journal-title":"Neural Comput."}],"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_62","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,9]],"date-time":"2023-08-09T15:11:07Z","timestamp":1691593867000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-35302-4_62"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031353017","9783031353024"],"references-count":11,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-35302-4_62","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)"}}]}}