{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,20]],"date-time":"2025-08-20T12:55:59Z","timestamp":1755694559957,"version":"3.40.3"},"publisher-location":"Cham","reference-count":24,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031439926"},{"type":"electronic","value":"9783031439933"}],"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\/978-3-031-43993-3_43","type":"book-chapter","created":{"date-parts":[[2023,9,30]],"date-time":"2023-09-30T23:08:57Z","timestamp":1696115337000},"page":"439-448","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Maximum-Entropy Estimation of\u00a0Joint Relaxation-Diffusion Distribution Using Multi-TE Diffusion MRI"],"prefix":"10.1007","author":[{"given":"Lipeng","family":"Ning","sequence":"first","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,10,1]]},"reference":[{"key":"43_CR1","doi-asserted-by":"publisher","first-page":"259","DOI":"10.1016\/S0006-3495(94)80775-1","volume":"66","author":"PJ Basser","year":"1994","unstructured":"Basser, P.J., Mattiello, J., LeBihan, D.: MR diffusion tensor spectroscopy and imaging. Biophys. J. 66, 259\u2013267 (1994)","journal-title":"Biophys. J."},{"key":"43_CR2","doi-asserted-by":"publisher","first-page":"40","DOI":"10.1016\/j.jmr.2016.08.004","volume":"271","author":"D Benjamini","year":"2016","unstructured":"Benjamini, D., Basser, P.J.: Use of marginal distributions constrained optimization (MADCO) for accelerated 2D MRI relaxometry and diffusometry. J. Magn. Reson. 271, 40\u201345 (2016)","journal-title":"J. Magn. Reson."},{"key":"43_CR3","doi-asserted-by":"publisher","first-page":"93","DOI":"10.1016\/j.micromeso.2017.02.001","volume":"269","author":"D Benjamini","year":"2018","unstructured":"Benjamini, D., Basser, P.J.: Towards clinically feasible relaxation-diffusion correlation MRI using MADCO. Microporous Mesoporous Mater. 269, 93\u201396 (2018)","journal-title":"Microporous Mesoporous Mater."},{"key":"43_CR4","doi-asserted-by":"crossref","unstructured":"Bernin, D., Topgaard, D.: NMR diffusion and relaxation correlation methods: new insights in heterogeneous materials (2013)","DOI":"10.1016\/j.cocis.2013.03.007"},{"key":"43_CR5","unstructured":"Bertsekas, D.P.: Nonlinear Programming. 2nd edn (1999)"},{"key":"43_CR6","doi-asserted-by":"publisher","first-page":"441","DOI":"10.1016\/j.mri.2007.01.114","volume":"25","author":"PT Callaghan","year":"2007","unstructured":"Callaghan, P.T., Arns, C.H., Galvosas, P., Hunter, M.W., Qiao, Y., Washburn, K.E.: Recent Fourier and Laplace perspectives for multidimensional NMR in porous media. Magn. Reson. Imaging 25, 441\u2013444 (2007)","journal-title":"Magn. Reson. Imaging"},{"key":"43_CR7","unstructured":"Cover, T.M., Thomas, J.A.: Elements of Information Theory (1993)"},{"key":"43_CR8","doi-asserted-by":"publisher","first-page":"2488","DOI":"10.1038\/s41598-018-19826-9","volume":"8","author":"JP De Almeida Martins","year":"2018","unstructured":"De Almeida Martins, J.P., Topgaard, D.: Multidimensional correlation of nuclear relaxation rates and diffusion tensors for model-free investigations of heterogeneous anisotropic porous materials. Sci. Rep. 8, 2488 (2018)","journal-title":"Sci. Rep."},{"key":"43_CR9","doi-asserted-by":"publisher","first-page":"118958","DOI":"10.1016\/j.neuroimage.2022.118958","volume":"254","author":"Q Fan","year":"2022","unstructured":"Fan, Q., et al.: Mapping the human connectome using diffusion MRI at 300 mT\/m gradient strength: methodological advances and scientific impact. NeuroImage 254, 118958 (2022)","journal-title":"NeuroImage"},{"issue":"2","key":"43_CR10","first-page":"430","volume":"218","author":"M Frontini","year":"2011","unstructured":"Frontini, M., Tagliani, A.: Hausdorff moment problem and maximum entropy: on the existence conditions. Appl. Math. Comput. 218(2), 430\u2013433 (2011)","journal-title":"Appl. Math. Comput."},{"key":"43_CR11","doi-asserted-by":"publisher","first-page":"31","DOI":"10.1006\/jmre.2002.2567","volume":"157","author":"MD H\u00fcrlimann","year":"2002","unstructured":"H\u00fcrlimann, M.D., Venkataramanan, L.: Quantitative measurement of two-dimensional distribution functions of diffusion and relaxation in grossly inhomogeneous fields. J. Magn. Reson. 157, 31\u201342 (2002)","journal-title":"J. Magn. Reson."},{"key":"43_CR12","doi-asserted-by":"publisher","first-page":"2236","DOI":"10.1002\/mrm.26629","volume":"78","author":"D Kim","year":"2017","unstructured":"Kim, D., Doyle, E.K., Wisnowski, J.L., Kim, J.H., Haldar, J.P.: Diffusion-relaxation correlation spectroscopic imaging: a multidimensional approach for probing microstructure. Magn. Reson. Med. 78, 2236\u20132249 (2017)","journal-title":"Magn. Reson. Med."},{"issue":"1","key":"43_CR13","doi-asserted-by":"publisher","first-page":"47","DOI":"10.1090\/S0273-0979-1987-15464-4","volume":"16","author":"HJ Landau","year":"1987","unstructured":"Landau, H.J.: Maximum entropy and the moment problem. Bull. Am. Math. Soc. 16(1), 47\u201377 (1987)","journal-title":"Bull. Am. Math. Soc."},{"key":"43_CR14","doi-asserted-by":"publisher","first-page":"2985","DOI":"10.1002\/mrm.27617","volume":"81","author":"ET McKinnon","year":"2019","unstructured":"McKinnon, E.T., Jensen, J.H.: Measuring intra-axonal T2 in white matter with direction-averaged diffusion MRI. Magn. Reson. Med. 81, 2985\u20132994 (2019)","journal-title":"Magn. Reson. Med."},{"issue":"8","key":"43_CR15","doi-asserted-by":"publisher","first-page":"2404","DOI":"10.1063\/1.526446","volume":"25","author":"LR Mead","year":"1984","unstructured":"Mead, L.R., Papanicolaou, N.: Maximum entropy in the problem of moments. J. Math. Phys. 25(8), 2404\u20132417 (1984)","journal-title":"J. Math. Phys."},{"key":"43_CR16","doi-asserted-by":"publisher","first-page":"668","DOI":"10.1109\/TMI.2019.2933982","volume":"39","author":"L Ning","year":"2020","unstructured":"Ning, L., Gagoski, B., Szczepankiewicz, F., Westin, C.F., Rathi, Y.: Joint relaxation-diffusion imaging moments to probe neurite microstructure. IEEE Trans. Med. Imaging 39, 668\u2013677 (2020)","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"2","key":"43_CR17","first-page":"137","volume":"5","author":"M Putinar","year":"2006","unstructured":"Putinar, M., Scheiderer, C.: Multivariate moment problems: geometry and indeterminateness. Annali della Scuola Normale - Classe di Scienze 5(2), 137\u2013157 (2006)","journal-title":"Annali della Scuola Normale - Classe di Scienze"},{"key":"43_CR18","series-title":"Graduate Texts in Mathematics","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-64546-9","volume-title":"The Moment Problem","author":"K Schm\u00fcdgen","year":"2017","unstructured":"Schm\u00fcdgen, K.: The Moment Problem. GTM, vol. 277. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-64546-9"},{"issue":"6","key":"43_CR19","doi-asserted-by":"publisher","first-page":"2987","DOI":"10.1002\/mrm.28963","volume":"86","author":"PJ Slator","year":"2021","unstructured":"Slator, P.J., et al.: Combined diffusion-relaxometry microstructure imaging: current status and future prospects. Magn. Reson. Med. 86(6), 2987\u20133011 (2021)","journal-title":"Magn. Reson. Med."},{"key":"43_CR20","doi-asserted-by":"publisher","first-page":"1358","DOI":"10.1002\/mrm.20279","volume":"52","author":"DS Tuch","year":"2004","unstructured":"Tuch, D.S.: Q-ball imaging. Magn. Reson. Med. 52, 1358\u20131372 (2004)","journal-title":"Magn. Reson. Med."},{"key":"43_CR21","doi-asserted-by":"publisher","first-page":"183","DOI":"10.1029\/RG013i001p00183","volume":"13","author":"TJ Ulrych","year":"1975","unstructured":"Ulrych, T.J., Bishop, T.N.: Maximum entropy spectral analysis and autoregressive decomposition. Rev. Geophys. 13, 183\u2013200 (1975)","journal-title":"Rev. Geophys."},{"issue":"1","key":"43_CR22","doi-asserted-by":"publisher","first-page":"301","DOI":"10.1002\/mrm.25866","volume":"76","author":"J Veraart","year":"2016","unstructured":"Veraart, J., Fieremans, E., Jelescu, I.O., Knoll, F., Novikov, D.S.: Gibbs ringing in diffusion MRI. Magn. Reson. Med. 76(1), 301\u2013314 (2016)","journal-title":"Magn. Reson. Med."},{"key":"43_CR23","doi-asserted-by":"publisher","first-page":"360","DOI":"10.1016\/j.neuroimage.2017.09.030","volume":"182","author":"J Veraart","year":"2018","unstructured":"Veraart, J., Novikov, D.S., Fieremans, E.: TE dependent diffusion Imaging (TEdDI) distinguishes between compartmental T2 relaxation times. NeuroImage 182, 360\u2013369 (2018)","journal-title":"NeuroImage"},{"issue":"4","key":"43_CR24","doi-asserted-by":"publisher","first-page":"1000","DOI":"10.1016\/j.neuroimage.2012.03.072","volume":"61","author":"H Zhang","year":"2012","unstructured":"Zhang, H., Schneider, T., Wheeler-Kingshott, C.A., Alexander, D.C.: NODDI: practical in vivo neurite orientation dispersion and density imaging of the human brain. NeuroImage 61(4), 1000\u20131016 (2012)","journal-title":"NeuroImage"}],"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\/978-3-031-43993-3_43","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,4,2]],"date-time":"2024-04-02T16:10:37Z","timestamp":1712074237000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-43993-3_43"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031439926","9783031439933"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-43993-3_43","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)"}}]}}