{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,21]],"date-time":"2025-09-21T17:14:08Z","timestamp":1758474848369,"version":"3.40.3"},"publisher-location":"Cham","reference-count":22,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031439957"},{"type":"electronic","value":"9783031439964"}],"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\/978-3-031-43996-4_33","type":"book-chapter","created":{"date-parts":[[2023,9,30]],"date-time":"2023-09-30T23:07:48Z","timestamp":1696115268000},"page":"344-353","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Regularized Kelvinlet Functions to Model Linear Elasticity for Image-to-Physical Registration of the Breast"],"prefix":"10.1007","author":[{"given":"Morgan","family":"Ringel","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jon","family":"Heiselman","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Winona","family":"Richey","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ingrid","family":"Meszoely","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michael","family":"Miga","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,10,1]]},"reference":[{"key":"33_CR1","doi-asserted-by":"publisher","first-page":"71","DOI":"10.1016\/j.bbe.2017.10.001","volume":"38","author":"F Alam","year":"2018","unstructured":"Alam, F., Rahman, S.U., Ullah, S., Gulati, K.: Medical image registration in image guided surgery: Issues, challenges and research opportunities. Biocybern. Biomed. Eng. 38, 71\u201389 (2018)","journal-title":"Biocybern. Biomed. Eng."},{"key":"33_CR2","doi-asserted-by":"publisher","first-page":"226","DOI":"10.1016\/j.hbpd.2021.09.002","volume":"21","author":"P Gavriilidis","year":"2022","unstructured":"Gavriilidis, P., et al.: Navigated liver surgery: state of the art and future perspectives. Hepatob. Pancreat. Dis. Int. 21, 226\u2013233 (2022)","journal-title":"Hepatob. Pancreat. Dis. Int."},{"key":"33_CR3","doi-asserted-by":"publisher","first-page":"295","DOI":"10.14444\/8039","volume":"15","author":"FA Schmidt","year":"2021","unstructured":"Schmidt, F.A., et al.: Elastic image fusion software to coregister preoperatively planned pedicle screws with intraoperative computed tomography data for image-guided spinal surgery. Int. J. Spine Surg. 15, 295\u2013301 (2021)","journal-title":"Int. J. Spine Surg."},{"key":"33_CR4","doi-asserted-by":"publisher","first-page":"1502","DOI":"10.1109\/TMI.2017.2668842","volume":"36","author":"JA Collins","year":"2017","unstructured":"Collins, J.A., et al.: Improving registration robustness for image-guided liver surgery in a novel human-to-phantom data framework HHS public access. IEEE Trans. Med. Imaging. 36, 1502\u20131510 (2017)","journal-title":"IEEE Trans. Med. Imaging."},{"key":"33_CR5","doi-asserted-by":"publisher","first-page":"1985","DOI":"10.1007\/s11548-015-1235-9","volume":"10","author":"RH Conley","year":"2015","unstructured":"Conley, R.H., et al.: Realization of a biomechanical model-assisted image guidance system for breast cancer surgery using supine MRI. Int. J. Comput. Assist. Radiol. Surg. 10, 1985 (2015)","journal-title":"Int. J. Comput. Assist. Radiol. Surg."},{"issue":"12","key":"33_CR6","doi-asserted-by":"publisher","first-page":"1997","DOI":"10.1007\/s11548-015-1233-y","volume":"10","author":"O Zettinig","year":"2015","unstructured":"Zettinig, O., et al.: Multimodal image-guided prostate fusion biopsy based on automatic deformable registration. Int. J. Comput. Assist. Radiol. Surg. 10(12), 1997\u20132007 (2015). https:\/\/doi.org\/10.1007\/s11548-015-1233-y","journal-title":"Int. J. Comput. Assist. Radiol. Surg."},{"key":"33_CR7","doi-asserted-by":"publisher","first-page":"504","DOI":"10.1016\/j.jamcollsurg.2018.12.043","volume":"228","author":"K Kaczmarski","year":"2019","unstructured":"Kaczmarski, K., et al.: Surgeon re-excision rates after breast-conserving surgery: a measure of low-value care. J. Am. Coll. Surg. 228, 504-512.e2 (2019)","journal-title":"J. Am. Coll. Surg."},{"key":"33_CR8","doi-asserted-by":"publisher","first-page":"724","DOI":"10.1007\/978-3-030-59719-1_70","volume-title":"Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2020","author":"M Pfeiffer","year":"2020","unstructured":"Pfeiffer, M., et al.: Non-rigid volume to surface registration using a data-driven biomechanical model. In: Martel, A.L., et al. (eds.) Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2020. LNCS, vol. 12264, pp. 724\u2013734. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-59719-1_70"},{"key":"33_CR9","doi-asserted-by":"publisher","first-page":"101845","DOI":"10.1016\/j.media.2020.101845","volume":"67","author":"Y Fu","year":"2021","unstructured":"Fu, Y., et al.: Biomechanically constrained non-rigid MR-TRUS prostate registration using deep learning based 3D point cloud matching. Med. Image Anal. 67, 101845 (2021)","journal-title":"Med. Image Anal."},{"issue":"8","key":"33_CR10","doi-asserted-by":"publisher","first-page":"1788","DOI":"10.1109\/TMI.2019.2897538","volume":"38","author":"G Balakrishnan","year":"2019","unstructured":"Balakrishnan, G., Zhao, A., Sabuncu, M.R., Guttag, J., Dalca, A.V.: VoxelMorph: a learning framework for deformable medical image registration. IEEE Trans. Med. Imaging 38(8), 1788\u20131800 (2019). https:\/\/doi.org\/10.1109\/TMI.2019.2897538","journal-title":"IEEE Trans. Med. Imaging"},{"key":"33_CR11","doi-asserted-by":"publisher","first-page":"24","DOI":"10.1016\/j.media.2017.12.006","volume":"45","author":"I Peterl\u00edk","year":"2018","unstructured":"Peterl\u00edk, I., et al.: Fast elastic registration of soft tissues under large deformations. Med. Image Anal. 45, 24\u201340 (2018)","journal-title":"Med. Image Anal."},{"key":"33_CR12","doi-asserted-by":"publisher","first-page":"2223","DOI":"10.1109\/TMI.2020.2967322","volume":"39","author":"JS Heiselman","year":"2020","unstructured":"Heiselman, J.S., Jarnagin, W.R., Miga, M.I.: Intraoperative correction of liver deformation using sparse surface and vascular features via linearized iterative boundary reconstruction. IEEE Trans. Med. Imaging. 39, 2223\u20132234 (2020)","journal-title":"IEEE Trans. Med. Imaging."},{"key":"33_CR13","doi-asserted-by":"publisher","first-page":"229","DOI":"10.1002\/nme.1620370205","volume":"37","author":"T Belytschko","year":"1994","unstructured":"Belytschko, T., Lu, Y.Y., Gu, L.: Element-free Galerkin methods. Int. J. Numer. Methods Eng. 37, 229\u2013256 (1994)","journal-title":"Int. J. Numer. Methods Eng."},{"issue":"5","key":"33_CR14","doi-asserted-by":"publisher","first-page":"1547","DOI":"10.1007\/s11831-018-9283-2","volume":"26","author":"LW Zhang","year":"2018","unstructured":"Zhang, L.W., Ademiloye, A.S., Liew, K.M.: Meshfree and particle methods in biomechanics: prospects and challenges. Arch. Comput. Methods Eng. 26(5), 1547\u20131576 (2018). https:\/\/doi.org\/10.1007\/s11831-018-9283-2","journal-title":"Arch. Comput. Methods Eng."},{"issue":"4","key":"33_CR15","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3072959.3073595","volume":"36","author":"F De Goes","year":"2017","unstructured":"De Goes, F., James, D.L.: Regularized kelvinlets: sculpting brushes based on fundamental solutions of elasticity. ACM Trans. Graph. 36(4), 1\u201311 (2017). https:\/\/doi.org\/10.1145\/3072959.3073595","journal-title":"ACM Trans. Graph."},{"key":"33_CR16","doi-asserted-by":"publisher","first-page":"3760","DOI":"10.1109\/TBME.2022.3177044","volume":"69","author":"WL Richey","year":"2022","unstructured":"Richey, W.L., Heiselman, J.S., Ringel, M.J., Meszoely, I.M., Miga, M.I.: Computational imaging to compensate for soft-tissue deformations in image-guided breast conserving surgery. IEEE Trans. Biomed. Eng. 69, 3760\u20133771 (2022)","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"33_CR17","doi-asserted-by":"crossref","unstructured":"Richey, W.L., Heiselman, J.S., Ringel, M.J., Meszoely, I.M., Miga, M.I.: Tumor deformation correction for an image guidance system in breast conserving surgery. In: SPIE Proceedings, 12034 (2022)","DOI":"10.1117\/12.2611570"},{"key":"33_CR18","doi-asserted-by":"publisher","first-page":"4756","DOI":"10.1088\/1361-6560\/aa700a","volume":"62","author":"RH Griesenauer","year":"2017","unstructured":"Griesenauer, R.H., Weis, J.A., Arlinghaus, L.R., Meszoely, I.M., Miga, M.I.: Breast tissue stiffness estimation for surgical guidance using gravity-induced excitation. Phys. Med. Biol. 62, 4756\u20134776 (2017)","journal-title":"Phys. Med. Biol."},{"key":"33_CR19","doi-asserted-by":"publisher","first-page":"39","DOI":"10.3389\/fninf.2013.00039","volume":"7","author":"NJ Tustison","year":"2013","unstructured":"Tustison, N.J., Avants, B.B.: Explicit B-spline regularization in diffeomorphic image registration. Front. Neuroinform. 7, 39 (2013)","journal-title":"Front. Neuroinform."},{"key":"33_CR20","doi-asserted-by":"publisher","first-page":"065001","DOI":"10.1117\/1.JMI.9.6.065001","volume":"9","author":"MJ Ringel","year":"2022","unstructured":"Ringel, M.J., Richey, W.L., Heiselman, J.S., Luo, M., Meszoely, I.M., Miga, M.I.: Supine magnetic resonance image registration for breast surgery: insights on material mechanics. J. Med. Imaging. 9, 065001 (2022)","journal-title":"J. Med. Imaging."},{"key":"33_CR21","doi-asserted-by":"publisher","first-page":"720","DOI":"10.1148\/radiol.2016151472","volume":"281","author":"EC Gombos","year":"2016","unstructured":"Gombos, E.C., et al.: Intraoperative supine breast MR imaging to quantify tumor deformation and detection of residual breast cancer: preliminary results. Radiology 281, 720\u2013729 (2016)","journal-title":"Radiology"},{"issue":"7","key":"33_CR22","doi-asserted-by":"publisher","first-page":"2002","DOI":"10.1109\/TBME.2022.3233909","volume":"70","author":"WL Richey","year":"2023","unstructured":"Richey, W.L., Heiselman, J.S., Ringel, M.J., Ingrid, M., Meszoely, M.I., Miga, M.I.: Soft tissue monitoring of the surgical field: detection and tracking of breast surface deformations. IEEE Trans. Biomed. Eng. 70(7), 2002\u20132012 (2023). https:\/\/doi.org\/10.1109\/TBME.2022.3233909","journal-title":"IEEE Trans. Biomed. Eng."}],"container-title":["Lecture Notes in Computer Science","Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2023"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-43996-4_33","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,4]],"date-time":"2024-07-04T16:06:52Z","timestamp":1720109212000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-43996-4_33"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031439957","9783031439964"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-43996-4_33","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"1 October 2023","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":"Vancouver, BC","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Canada","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":"8 October 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 October 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"miccai2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/conferences.miccai.org\/2023\/en\/","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":"2250","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":"730","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":"32% - 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":"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":"5","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)"}}]}}