{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T06:15:19Z","timestamp":1743142519665,"version":"3.40.3"},"publisher-location":"Cham","reference-count":29,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030009458"},{"type":"electronic","value":"9783030009465"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"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":[[2018]]},"DOI":"10.1007\/978-3-030-00946-5_26","type":"book-chapter","created":{"date-parts":[[2018,9,11]],"date-time":"2018-09-11T09:00:03Z","timestamp":1536656403000},"page":"260-271","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["XeMRI to CT Lung Image Registration Enhanced with Personalized 4DCT-Derived Motion Model"],"prefix":"10.1007","author":[{"given":"Adam","family":"Szmul","sequence":"first","affiliation":[]},{"given":"Tahreema","family":"Matin","sequence":"additional","affiliation":[]},{"given":"Fergus V.","family":"Gleeson","sequence":"additional","affiliation":[]},{"given":"Julia A.","family":"Schnabel","sequence":"additional","affiliation":[]},{"given":"Vicente","family":"Grau","sequence":"additional","affiliation":[]},{"given":"Bart\u0142omiej W.","family":"Papie\u017c","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,9,12]]},"reference":[{"key":"26_CR1","doi-asserted-by":"publisher","first-page":"2274","DOI":"10.1109\/TPAMI.2012.120","volume":"34","author":"R Achanta","year":"2012","unstructured":"Achanta, R., Shaji, A., Smith, K., Lucchi, A., Fua, P., S\u00fcsstrunk, S.: SLIC superpixels compared to state-of-the-art superpixel methods. IEEE Trans. Pattern Anal. Mach. Intell. 34, 2274\u20132282 (2012)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"6486","key":"26_CR2","doi-asserted-by":"publisher","first-page":"199","DOI":"10.1038\/370199a0","volume":"370","author":"MS Albert","year":"1994","unstructured":"Albert, M.S., et al.: Biological magnetic resonance imaging using laser-polarized $$^{129}Xe$$. Nature 370(6486), 199\u2013201 (1994)","journal-title":"Nature"},{"issue":"11","key":"26_CR3","doi-asserted-by":"publisher","first-page":"1222","DOI":"10.1109\/34.969114","volume":"23","author":"Y Boykov","year":"2001","unstructured":"Boykov, Y., Veksler, O., Zabih, R.: Fast approximate energy minimization via graph cuts. IEEE Trans. Pattern Anal. Mach. Intell. 23(11), 1222\u20131239 (2001)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"7","key":"26_CR4","doi-asserted-by":"publisher","first-page":"1849","DOI":"10.1088\/0031-9155\/54\/7\/001","volume":"54","author":"R Castillo","year":"2009","unstructured":"Castillo, R., et al.: A framework for evaluation of deformable image registration spatial accuracy using large landmark point sets. Phys. Med. Biol. 54(7), 1849\u20131870 (2009)","journal-title":"Phys. Med. Biol."},{"key":"26_CR5","doi-asserted-by":"publisher","first-page":"251","DOI":"10.1109\/TMI.2010.2076299","volume":"30","author":"J Ehrhardt","year":"2011","unstructured":"Ehrhardt, J., Werner, R., Schmidt-Richberg, A., Handels, H.: Statistical modeling of 4D respiratory lung motion using diffeomorphic image registration. IEEE Trans. Med. Imaging 30, 251\u2013265 (2011)","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"1","key":"26_CR6","doi-asserted-by":"publisher","first-page":"219","DOI":"10.1146\/annurev-bioeng-071910-124649","volume":"13","author":"B Glocker","year":"2011","unstructured":"Glocker, B., Sotiras, A., Komodakis, N., Paragios, N.: Deformable medical image registration: Setting the state of the art with discrete methods. Ann. Rev. Biomed. Eng. 13(1), 219\u2013244 (2011)","journal-title":"Ann. Rev. Biomed. Eng."},{"issue":"4","key":"26_CR7","doi-asserted-by":"publisher","first-page":"786","DOI":"10.1016\/j.media.2011.11.001","volume":"16","author":"V Gorbunova","year":"2012","unstructured":"Gorbunova, V., et al.: Mass preserving image registration for lung CT. Med. Image Anal. 16(4), 786\u2013795 (2012)","journal-title":"Med. Image Anal."},{"issue":"3","key":"26_CR8","doi-asserted-by":"publisher","first-page":"630","DOI":"10.1016\/j.ijrobp.2005.03.023","volume":"62","author":"T Guerrero","year":"2005","unstructured":"Guerrero, T., et al.: Quantification of regional ventilation from treatment planning CT. Int. J. Radiat. Oncol.*Biol.*Phys. 62(3), 630\u2013634 (2005)","journal-title":"Int. J. Radiat. Oncol.*Biol.*Phys."},{"key":"26_CR9","doi-asserted-by":"publisher","first-page":"87","DOI":"10.1016\/j.media.2017.04.003","volume":"39","author":"L Han","year":"2017","unstructured":"Han, L., Dong, H., McClelland, J.R., Han, L., Hawkes, D.J., Barratt, D.C.: A hybrid patient-specific biomechanical model based image registration method for the motion estimation of lungs. Med. Image Anal. 39, 87\u2013100 (2017)","journal-title":"Med. Image Anal."},{"issue":"7","key":"26_CR10","doi-asserted-by":"publisher","first-page":"1239","DOI":"10.1109\/TMI.2013.2246577","volume":"32","author":"MP Heinrich","year":"2013","unstructured":"Heinrich, M.P., Jenkinson, M., Brady, M., Schnabel, J.A.: MRF-based deformable registration and ventilation estimation of lung CT. IEEE Trans. Med. Imag. 32(7), 1239\u20131248 (2013)","journal-title":"IEEE Trans. Med. Imag."},{"key":"26_CR11","doi-asserted-by":"publisher","first-page":"57","DOI":"10.1016\/j.media.2015.09.005","volume":"27","author":"MP Heinrich","year":"2016","unstructured":"Heinrich, M.P., Simpson, I.J., Papie\u017c, B.W., Brady, S.M., Schnabel, J.A.: Deformable image registration by combining uncertainty estimates from supervoxel belief propagation. Med. Image Anal. 27, 57\u201371 (2016)","journal-title":"Med. Image Anal."},{"issue":"3","key":"26_CR12","doi-asserted-by":"publisher","first-page":"329","DOI":"10.1023\/A:1020830525823","volume":"50","author":"G Hermosillo","year":"2002","unstructured":"Hermosillo, G., Chefd\u2019Hotel, C., Faugeras, O.: Variational methods for multimodal image matching. Int. J. Comput. Vis. 50(3), 329\u2013343 (2002)","journal-title":"Int. J. Comput. Vis."},{"key":"26_CR13","doi-asserted-by":"crossref","unstructured":"Liu, X., Oguz, I., Pizer, S.M., Mageras, G.S.: Shape-correlated deformation statistics for respiratory motion prediction in 4D lung (2010)","DOI":"10.1117\/12.843974"},{"key":"26_CR14","doi-asserted-by":"publisher","first-page":"857","DOI":"10.1148\/radiol.2016152299","volume":"282","author":"TN Matin","year":"2016","unstructured":"Matin, T.N., et al.: Chronic obstructive pulmonary disease: lobar analysis with hyperpolarized 129 Xe MR imaging. Radiology 282, 857\u2013868 (2016)","journal-title":"Radiology"},{"issue":"1","key":"26_CR15","doi-asserted-by":"publisher","first-page":"19","DOI":"10.1016\/j.media.2012.09.005","volume":"17","author":"JR McClelland","year":"2013","unstructured":"McClelland, J.R., Hawkes, D.J., Schaeffter, T., King, A.P.: Respiratory motion models: a review. Med. Image Anal. 17(1), 19\u201342 (2013)","journal-title":"Med. Image Anal."},{"issue":"2","key":"26_CR16","doi-asserted-by":"publisher","first-page":"313","DOI":"10.1002\/jmri.23844","volume":"37","author":"JP Mugler","year":"2013","unstructured":"Mugler, J.P., Altes, T.A.: Hyperpolarized $$^{129}Xe$$ MRI of the human lung. J. Magn. Reson. Imaging 37(2), 313\u201331 (2013)","journal-title":"J. Magn. Reson. Imaging"},{"issue":"11","key":"26_CR17","doi-asserted-by":"publisher","first-page":"1901","DOI":"10.1109\/TMI.2011.2158349","volume":"30","author":"K Murphy","year":"2011","unstructured":"Murphy, 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"},{"issue":"8","key":"26_CR18","doi-asserted-by":"publisher","first-page":"1299","DOI":"10.1016\/j.media.2014.05.005","volume":"18","author":"BW Papie\u017c","year":"2014","unstructured":"Papie\u017c, B.W., Heinrich, M.P., Fehrenbach, J., Risser, L., Schnabel, J.A.: An implicit sliding-motion preserving regularisation via bilateral filtering for deformable image registration. Med. Image Anal. 18(8), 1299\u2013311 (2014)","journal-title":"Med. Image Anal."},{"key":"26_CR19","doi-asserted-by":"publisher","first-page":"199","DOI":"10.1007\/978-3-319-61188-4_18","volume-title":"Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging","author":"Bart\u0142omiej W. Papie\u017c","year":"2017","unstructured":"Papie\u017c, B.W., Szmul, A., Grau, V., Brady, J.M., Schnabel, J.A.: Non-local graph-based regularization for deformable image registration. In: MICCAI RAMBO, pp. 199\u2013207 (2017)"},{"issue":"6","key":"26_CR20","doi-asserted-by":"publisher","first-page":"752","DOI":"10.1016\/j.media.2008.03.007","volume":"12","author":"JM Reinhardt","year":"2008","unstructured":"Reinhardt, J.M., Ding, K., Cao, K., Christensen, G.E., Hoffman, E.A., Bodas, S.V.: Registration-based estimates of local lung tissue expansion compared to xenon ct measures of specific ventilation. Med. Image Anal. 12(6), 752\u2013763 (2008)","journal-title":"Med. Image Anal."},{"issue":"8","key":"26_CR21","doi-asserted-by":"publisher","first-page":"712","DOI":"10.1109\/42.796284","volume":"18","author":"D Rueckert","year":"1999","unstructured":"Rueckert, D., Sonoda, L.I., Hayes, C., Hill, D.L., Leach, M.O., Hawkes, D.J.: Nonrigid registration using free-form deformations: application to breast MR images. IEEE Trans. Med. Imaging 18(8), 712\u201321 (1999)","journal-title":"IEEE Trans. Med. Imaging"},{"key":"26_CR22","doi-asserted-by":"publisher","first-page":"150","DOI":"10.1016\/j.media.2011.06.007","volume":"16","author":"A Schmidt-Richberg","year":"2012","unstructured":"Schmidt-Richberg, A., Werner, R., Handels, H., Ehrhardt, J.: Estimation of slipping organ motion by registration with direction-dependent regularization. Med. Image Anal. 16, 150\u2013159 (2012)","journal-title":"Med. Image Anal."},{"issue":"10","key":"26_CR23","doi-asserted-by":"publisher","first-page":"145","DOI":"10.1016\/j.media.2016.06.031","volume":"33","author":"JA Schnabel","year":"2016","unstructured":"Schnabel, J.A., Heinrich, M.P., Papie\u017c, B.W., Brady, S.M.: Advances and challenges in deformable image registration: From image fusion to complex motion modelling. Med. Image Anal. 33(10), 145\u2013148 (2016)","journal-title":"Med. Image Anal."},{"key":"26_CR24","doi-asserted-by":"crossref","unstructured":"Szmul, A., Papie\u017c, B.W., Matin, T., Gleeson, F., Schnabel, J.A., Grau, V.: Regional lung ventilation estimation based on supervoxel tracking. In: Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling, vol. 10576, pp. 10576-1\u201310576-7 (2018)","DOI":"10.1117\/12.2293833"},{"issue":"6","key":"26_CR25","doi-asserted-by":"publisher","first-page":"061607","DOI":"10.1117\/1.JEI.26.6.061607","volume":"26","author":"A Szmul","year":"2017","unstructured":"Szmul, A., Papie\u017c, B.W., Hallack, A., Grau, V., Schnabel, J.A.: Supervoxels for graph cuts-based deformable image registration using guided image filtering. J. Electron. Imaging 26(6), 061607 (2017)","journal-title":"J. Electron. Imaging"},{"issue":"2","key":"26_CR26","doi-asserted-by":"publisher","first-page":"130","DOI":"10.1002\/nbm.1565","volume":"24","author":"JM Wild","year":"2011","unstructured":"Wild, J.M., et al.: Automatic image registration of lung CT and hyperpolarized helium-3 MRI via mutual information of proton MRI. NMR Biomed. 24(2), 130\u2013134 (2011)","journal-title":"NMR Biomed."},{"issue":"7","key":"26_CR27","doi-asserted-by":"publisher","first-page":"2279","DOI":"10.1088\/0031-9155\/56\/7\/023","volume":"56","author":"T Yamamoto","year":"2011","unstructured":"Yamamoto, T., et al.: Investigation of four-dimensional computed tomography-based pulmonary ventilation imaging in patients with emphysematous lung regions. Phys. Med. Biol. 56(7), 2279\u201398 (2011)","journal-title":"Phys. Med. Biol."},{"issue":"9","key":"26_CR28","doi-asserted-by":"publisher","first-page":"4213","DOI":"10.1118\/1.3193526","volume":"36","author":"Y Yin","year":"2009","unstructured":"Yin, Y., Hoffman, E.A., Lin, C.L.: Mass preserving nonrigid registration of CT lung images using cubic B-spline. Med. Phys. 36(9), 4213\u20134222 (2009)","journal-title":"Med. Phys."},{"issue":"12","key":"26_CR29","doi-asserted-by":"publisher","first-page":"4772","DOI":"10.1118\/1.2804576","volume":"34","author":"Q Zhang","year":"2007","unstructured":"Zhang, Q., et al.: A patient specific respiratory model of anatomical motion for radiation treatment planning. Med. Phys. 34(12), 4772\u20134781 (2007)","journal-title":"Med. Phys."}],"container-title":["Lecture Notes in Computer Science","Image Analysis for Moving Organ, Breast, and Thoracic Images"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-00946-5_26","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,11]],"date-time":"2023-09-11T00:06:12Z","timestamp":1694390772000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-00946-5_26"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783030009458","9783030009465"],"references-count":29,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-00946-5_26","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"12 September 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"TIA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Workshop on Thoracic Image Analysis","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Granada","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Spain","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 September 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 September 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"tia2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.lungworkshop.org\/2018\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"21","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":"20","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":"2","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":"95% - 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":"2-3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"n\/a","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}