{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,8]],"date-time":"2025-12-08T22:19:29Z","timestamp":1765232369284,"version":"3.40.3"},"publisher-location":"Cham","reference-count":19,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319467252"},{"type":"electronic","value":"9783319467269"}],"license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"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":[[2016]]},"DOI":"10.1007\/978-3-319-46726-9_4","type":"book-chapter","created":{"date-parts":[[2016,10,1]],"date-time":"2016-10-01T03:01:07Z","timestamp":1475290867000},"page":"28-36","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["Memory Efficient LDDMM for Lung CT"],"prefix":"10.1007","author":[{"given":"Thomas","family":"Polzin","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marc","family":"Niethammer","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mattias P.","family":"Heinrich","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Heinz","family":"Handels","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jan","family":"Modersitzki","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2016,10,2]]},"reference":[{"issue":"3","key":"4_CR1","doi-asserted-by":"publisher","first-page":"954","DOI":"10.1016\/j.neuroimage.2010.12.049","volume":"55","author":"J Ashburner","year":"2011","unstructured":"Ashburner, J., Friston, K.J.: Diffeomorphic registration using geodesic shooting and Gauss-Newton optimisation. NeuroImage 55(3), 954\u2013967 (2011)","journal-title":"NeuroImage"},{"issue":"2","key":"4_CR2","doi-asserted-by":"publisher","first-page":"139","DOI":"10.1023\/B:VISI.0000043755.93987.aa","volume":"61","author":"MF Beg","year":"2005","unstructured":"Beg, M.F., Miller, M.I., Trouv\u00e9, A., Younes, L.: Computing large deformation metric mappings via geodesic flows of diffeomorphisms. IJCV 61(2), 139\u2013157 (2005)","journal-title":"IJCV"},{"issue":"4","key":"4_CR3","doi-asserted-by":"publisher","first-page":"041904","DOI":"10.1118\/1.4866891","volume":"41","author":"E Castillo","year":"2014","unstructured":"Castillo, E., Castillo, R., Fuentes, D., Guerrero, T.: Computing global minimizers to a constrained B-spline image registration problem from optimal l1 perturbations to block match data. Med. Phys. 41(4), 041904 (2014)","journal-title":"Med. Phys."},{"issue":"1","key":"4_CR4","doi-asserted-by":"publisher","first-page":"305","DOI":"10.1088\/0031-9155\/55\/1\/018","volume":"55","author":"E Castillo","year":"2010","unstructured":"Castillo, E., Castillo, R., Martinez, J., Shenoy, M., Guerrero, T.: Four-dimensional deformable image registration using trajectory modeling. Phys. Med. Biol. 55(1), 305\u2013327 (2010)","journal-title":"Phys. Med. Biol."},{"issue":"9","key":"4_CR5","doi-asserted-by":"publisher","first-page":"2861","DOI":"10.1088\/0031-9155\/58\/9\/2861","volume":"58","author":"R Castillo","year":"2013","unstructured":"Castillo, R., Castillo, E., Fuentes, D., Ahmad, M., Wood, A.M., et al.: A reference dataset for deformable image registration spatial accuracy evaluation using the COPDgene study archive. Phys. Med. Biol. 58(9), 2861\u20132877 (2013)","journal-title":"Phys. Med. Biol."},{"key":"4_CR6","doi-asserted-by":"publisher","first-page":"1711","DOI":"10.1038\/nm.2971","volume":"18","author":"CJ Galb\u00e1n","year":"2012","unstructured":"Galb\u00e1n, C.J., Han, M.K., Boes, J.L., Chughtai, K., Meyer, C.R., et al.: Computed tomography-based biomarker provides unique signature for diagnosis of COPD phenotypes and disease progression. Nat. Med. 18, 1711\u20131715 (2012)","journal-title":"Nat. Med."},{"key":"4_CR7","doi-asserted-by":"crossref","unstructured":"Hart, G.L., Zach, C., Niethammer, M.: An optimal control approach for deformable registration. In: IEEE CVPR Workshops, pp. 9\u201316 (2009)","DOI":"10.1109\/CVPRW.2009.5204344"},{"key":"4_CR8","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"338","DOI":"10.1007\/978-3-319-24571-3_41","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2015","author":"MP Heinrich","year":"2015","unstructured":"Heinrich, M.P., Handels, H., Simpson, I.J.A.: Estimating large lung motion in COPD patients by symmetric regularised correspondence fields. In: Navab, N., Hornegger, J., Wells, W.M., Frangi, A.F. (eds.) MICCAI 2015. LNCS, vol. 9350, pp. 338\u2013345. Springer, Heidelberg (2015). 10.1007\/978-3-319-24571-3_41"},{"key":"4_CR9","doi-asserted-by":"crossref","unstructured":"K\u00f6nig, L., R\u00fchaak, J.: A fast and accurate parallel algorithm for non-linear image registration using normalized gradient fields. In: IEEE ISBI, pp. 580\u2013583 (2014)","DOI":"10.1109\/ISBI.2014.6867937"},{"key":"4_CR10","unstructured":"Lassen, B., Kuhnigk, J.M., Schmidt, M., Krass, S., Peitgen, H.O.: Lung and lung lobe segmentation methods at Fraunhofer MEVIS. In: Proceedings of the Fourth International Workshop on Pulmonary Image Analysis, pp. 185\u2013199 (2011)"},{"key":"4_CR11","doi-asserted-by":"crossref","unstructured":"Modersitzki, J.: FAIR: Flexible Algorithms for Image Registration. SIAM (2009)","DOI":"10.1137\/1.9780898718843"},{"issue":"11","key":"4_CR12","doi-asserted-by":"publisher","first-page":"1901","DOI":"10.1109\/TMI.2011.2158349","volume":"30","author":"K Murphy","year":"2011","unstructured":"Murphy, K., van Ginneken, B., Reinhardt, J.M., Kabus, S., Ding, K., et al.: Evaluation of registration methods on thoracic CT: the EMPIRE10 challenge. IEEE Trans. Med. Imaging 30(11), 1901\u20131920 (2011)","journal-title":"IEEE Trans. Med. Imaging"},{"key":"4_CR13","volume-title":"Numerical Optimization","author":"J Nocedal","year":"2006","unstructured":"Nocedal, J., Wright, S.: Numerical Optimization. Springer, New York (2006)"},{"key":"4_CR14","doi-asserted-by":"publisher","first-page":"32","DOI":"10.3109\/15412550903499522","volume":"7","author":"EA Regan","year":"2011","unstructured":"Regan, E.A., Hokanson, J.E., Murphy, J.R., Lynch, D.A., Beaty, T.H., et al.: Genetic Epidemiology of COPD (COPDGene) study design. COPD 7, 32\u201343 (2011)","journal-title":"COPD"},{"issue":"2","key":"4_CR15","doi-asserted-by":"publisher","first-page":"182","DOI":"10.1016\/j.media.2012.10.001","volume":"17","author":"L Risser","year":"2013","unstructured":"Risser, L., Vialard, F.X., Baluwala, H.Y., Schnabel, J.A.: Piecewise-diffeomorphic image registration: application to the motion estimation between 3D CT lung images with sliding conditions. Med. Image Anal. 17(2), 182\u2013193 (2013)","journal-title":"Med. Image Anal."},{"key":"4_CR16","doi-asserted-by":"crossref","unstructured":"R\u00fchaak, J., Heldmann, S., Kipshagen, T., Fischer, B.: Highly accurate fast lung CT registration. In: SPIE 2013, Medical Imaging, p. 86690Y-1-9 (2013)","DOI":"10.1117\/12.2006035"},{"issue":"1","key":"4_CR17","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1371\/journal.pone.0085580","volume":"9","author":"R Sakamoto","year":"2014","unstructured":"Sakamoto, R., Mori, S., Miller, M.I., Okada, T., Togashi, K.: Detection of time-varying structures by large deformation diffeomorphic metric mapping to aid reading of high-resolution CT images of the lung. PLoS ONE 9(1), 1\u201311 (2014)","journal-title":"PLoS ONE"},{"issue":"2","key":"4_CR18","doi-asserted-by":"publisher","first-page":"229","DOI":"10.1007\/s11263-011-0481-8","volume":"97","author":"FX Vialard","year":"2012","unstructured":"Vialard, F.X., Risser, L., Rueckert, D., Cotter, C.J.: Diffeomorphic 3D image registration via geodesic shooting using an efficient adjoint calculation. IJCV 97(2), 229\u2013241 (2012)","journal-title":"IJCV"},{"key":"4_CR19","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"249","DOI":"10.1007\/978-3-319-19992-4_19","volume-title":"Information Processing in Medical Imaging","author":"M Zhang","year":"2015","unstructured":"Zhang, M., Fletcher, P.T.: Finite-dimensional Lie Algebras for fast diffeomorphic image registration. In: Ourselin, S., Alexander, D.C., Westin, C.-F., Cardoso, M.J. (eds.) IPMI 2015. LNCS, vol. 9123, pp. 249\u2013260. Springer, Heidelberg (2015). 10.1007\/978-3-319-19992-4_19"}],"container-title":["Lecture Notes in Computer Science","Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-46726-9_4","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,6]],"date-time":"2023-11-06T21:27:43Z","timestamp":1699306063000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-46726-9_4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783319467252","9783319467269"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-46726-9_4","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2016]]},"assertion":[{"value":"2 October 2016","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"MICCAI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Medical Image Computing and Computer-Assisted Intervention","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Athens","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Greece","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2016","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 October 2016","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21 October 2016","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"miccai2016","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}