{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T03:18:17Z","timestamp":1742959097971,"version":"3.40.3"},"publisher-location":"Cham","reference-count":22,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030876142"},{"type":"electronic","value":"9783030876159"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-87615-9_7","type":"book-chapter","created":{"date-parts":[[2021,9,25]],"date-time":"2021-09-25T02:26:15Z","timestamp":1632536775000},"page":"71-81","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Novel Algorithm for Region-to-Region Tractography in Diffusion Tensor Imaging"],"prefix":"10.1007","author":[{"given":"Lars","family":"Smolders","sequence":"first","affiliation":[]},{"given":"Rick","family":"Sengers","sequence":"additional","affiliation":[]},{"given":"Andrea","family":"Fuster","sequence":"additional","affiliation":[]},{"given":"Mark","family":"de Berg","sequence":"additional","affiliation":[]},{"given":"Luc","family":"Florack","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,9,25]]},"reference":[{"key":"7_CR1","doi-asserted-by":"crossref","unstructured":"Amunts, K., Mohlberg, H., Bludau, S., Zilles, K.: Julich-brain: a 3D probabilistic atlas of the human brain\u2019s cytoarchitecture. Science 369(6506), 988\u2013992 (2020)","DOI":"10.1126\/science.abb4588"},{"key":"7_CR2","doi-asserted-by":"crossref","unstructured":"Dick A.S., Garic D., Graziano P., Tremblay, P.: The frontal aslant tract (FAT) and its role in speech, language and executive function. Cortex 111, 148\u2013163 (2019)","DOI":"10.1016\/j.cortex.2018.10.015"},{"key":"7_CR3","doi-asserted-by":"publisher","unstructured":"Astola, L., Florack, L., ter Haar Romeny, B.: Measures for pathway analysis in brain white matter using diffusion tensor images. In: Karssemeijer, N., Lelieveldt, B. (eds.), Proceedings of the Twentieth International Conference on Information Processing in Medical Imaging-IPMI 2007 (Kerkrade, The Netherlands), 4584, Lecture Notes in Computer Science, 642\u2013649. Springer-Verlag, Berlin (2007). https:\/\/doi.org\/10.1007\/978-3-540-73273-0_53","DOI":"10.1007\/978-3-540-73273-0_53"},{"key":"7_CR4","doi-asserted-by":"crossref","unstructured":"Aydogan, D.B., Shi, Y.: Tracking and validation techniques for topographically organized tractography. NeuroImage 181, 64\u201384 (2018)","DOI":"10.1016\/j.neuroimage.2018.06.071"},{"key":"7_CR5","doi-asserted-by":"crossref","unstructured":"Basser, P.J., Pajevic, S., Pierpaoli, C., Duda, J., Aldroubi, A.: In vivo fiber tractography using DT-MRI data. Magn. Reson. Med. 44(4), 625\u2013632 (2000)","DOI":"10.1002\/1522-2594(200010)44:4<625::AID-MRM17>3.0.CO;2-O"},{"key":"7_CR6","doi-asserted-by":"crossref","unstructured":"Humphries, C., Liebenthal, E., Binder, J.R.: Tonotopic organization of human auditory cortex. NeuroImage 50(3), 1202\u20131211 (2010)","DOI":"10.1016\/j.neuroimage.2010.01.046"},{"key":"7_CR7","unstructured":"Delaunay, B.: Sur la sph\u00e8re vide. a la m\u00e9moire de Georges Vorono\u00ef. Bulletin de l\u2019Acad\u00e9mie des Sciences de l\u2019URSS. Classe des sciences math\u00e9matiques et na. 6, 793\u2013800 (1934)"},{"key":"7_CR8","doi-asserted-by":"crossref","unstructured":"Dwyer, R.A.: Higher-dimensional Voronoi diagrams in linear expected time. Discrete Comput. Geom. 6(3), 343\u2013367 (1991)","DOI":"10.1007\/BF02574694"},{"key":"7_CR9","doi-asserted-by":"crossref","unstructured":"Stephen Engel, G.H.G., Wandell, B.: Retinotopic organization in human visual cortex and the spatial precision of functional MRI. Cerebral Cortex (New York, N.Y. : 1991). 7, 181\u201392 (1997)","DOI":"10.1093\/cercor\/7.2.181"},{"key":"7_CR10","doi-asserted-by":"publisher","unstructured":"Florack, L., Sengers, R., Meesters, S., Smolders, L., Fuster, A.: Riemann-DTI geodesic tractography revisited. In: \u00d6zarslan, E., Schultz, T., Zhang, E., Fuster, A. (eds) Anisotropy Across Fields and Scales. Mathematics and Visualization. Springer, Cham (2021). https:\/\/doi.org\/10.1007\/978-3-030-56215-1_11","DOI":"10.1007\/978-3-030-56215-1_11"},{"key":"7_CR11","doi-asserted-by":"crossref","unstructured":"Fuster, A., Dela Haije, T., Trist\u00e1n-Vega, A., Plantinga, B., Westin, C.-F., Florack, L.: Adjugate diffusion tensors for geodesic tractography in white matter. J. Math. Imaging Vis. 54(1), 1\u201314 (2016)","DOI":"10.1007\/s10851-015-0586-8"},{"key":"7_CR12","doi-asserted-by":"crossref","unstructured":"Teofilo, F.G.: Clustering to minimize the maximum intercluster distance. Theoret. Comput. Sci. 38, 293\u2013306 (1985)","DOI":"10.1016\/0304-3975(85)90224-5"},{"key":"7_CR13","doi-asserted-by":"crossref","unstructured":"Patel, G.H., Kaplan, D.M., Snyder, L.H.: Topographic organization in the brain: searching for general principles. Trends Cogn. Sci. 18(7), 351\u2013363 (2014)","DOI":"10.1016\/j.tics.2014.03.008"},{"key":"7_CR14","doi-asserted-by":"crossref","unstructured":"Kuhn, H.W.: The Hungarian method for the assignment problem. Naval Res. Logist. Q. 2, 83\u201397 (1955)","DOI":"10.1002\/nav.3800020109"},{"key":"7_CR15","doi-asserted-by":"crossref","unstructured":"Lenglet, C., Deriche, R., Faugeras, O.: Inferring white matter geometry from diffusion tensor MRI: application to connectivity mapping. In: Pajdla, T., Matas, J., (eds.), Proceedings of the Eighth European Conference on Computer Vision (Prague, Czech Republic, May 2004), 3021\u20133024, Lecture Notes in Computer Science, 127\u2013140. Springer-Verlag, Berlin (2004)","DOI":"10.1007\/978-3-540-24673-2_11"},{"key":"7_CR16","doi-asserted-by":"crossref","unstructured":"Munkres, J.: Algorithms for the assignment and transportation problems. J. Soc. Indus. Appl. Math. 5(1), 32\u201338 (1957)","DOI":"10.1137\/0105003"},{"key":"7_CR17","doi-asserted-by":"publisher","unstructured":"O\u2019Donnell, L., Haker, S., Westin, C.-F.: New approaches to estimation of white matter connectivity in diffusion tensor MRI: elliptic PDEs and geodesics in a tensor-warped space. In: Dohi, T., Kikinis, R., (eds.), Proceedings of the 5th International Conference on Medical Image Computing and Computer-Assisted Intervention\u2013MICCAI 2002 (Tokyo, Japan, September 25\u201328 2002), 2488\u20132489. Lecture Notes in Computer Science, 459\u2013466. Springer-Verlag, Berlin (2002). https:\/\/doi.org\/10.1007\/3-540-45786-0_57","DOI":"10.1007\/3-540-45786-0_57"},{"key":"7_CR18","doi-asserted-by":"crossref","unstructured":"Prados, E., et al.: Control theory and fast marching techniques for brain connectivity mapping. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, New York, USA, June 2006, Vol. 1, pp. 1076\u20131083. IEEE Computer Society Press (2006)","DOI":"10.1109\/CVPR.2006.89"},{"key":"7_CR19","doi-asserted-by":"publisher","unstructured":"Sengers, R., Fuster, A., Florack, L.: Geodesic tubes for uncertainty quantification in diffusion MRI. In: Sommer, S., Feragen, A., Schnabel, J., Nielsen, M., (eds.), Proceedings of the Twenty-Seventh International Conference on Information Processing in Medical Imaging-IPMI 2021 (Bornholm, Denmark), 12729, Lecture Notes in Computer Science, 279\u2013290. Springer-Verlag, Berlin (2021). https:\/\/doi.org\/10.1007\/978-3-030-78191-0_22","DOI":"10.1007\/978-3-030-78191-0_22"},{"key":"7_CR20","doi-asserted-by":"crossref","unstructured":"Silver, M., Ress, D., Heeger, D.: Topographic maps of visual spatial attention in human parietal cortex. J. Neurophysiol. 94, 1358\u20131371 (2005)","DOI":"10.1152\/jn.01316.2004"},{"key":"7_CR21","doi-asserted-by":"crossref","unstructured":"Talavage, T.M., Sereno, M.I., Melcher, J.R., Ledden, P.J., Rosen, B.R., Dale, A.M.: Tonotopic organization in human auditory cortex revealed by progressions of frequency sensitivity. J. Neurophysiol. 91, 1282\u20131296 (2004)","DOI":"10.1152\/jn.01125.2002"},{"key":"7_CR22","doi-asserted-by":"crossref","unstructured":"Wandell, B.A., Dumoulin, S.O., Brewer, A.A.: Visual field maps in human cortex. Neuron 56(2), 366\u2013383 (2007)","DOI":"10.1016\/j.neuron.2007.10.012"}],"container-title":["Lecture Notes in Computer Science","Computational Diffusion MRI"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-87615-9_7","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,8]],"date-time":"2024-09-08T20:14:32Z","timestamp":1725826472000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-87615-9_7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030876142","9783030876159"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-87615-9_7","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"25 September 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CDMRI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Workshop on Computational Diffusion MRI","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Strasbourg","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":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1 October 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1 October 2021","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":"cdmri2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/cmic.cs.ucl.ac.uk\/cdmri21\/index.html","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":"CMT3","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"14","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":"14","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":"100% - 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":"2.8","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":"1.5","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":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"The conference took place virtually due to the COVID-19 pandemic.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}