{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,5]],"date-time":"2026-10-05T15:37:01Z","timestamp":1791214621179,"version":"4.1.0"},"reference-count":42,"publisher":"Society for Industrial & Applied Mathematics (SIAM)","issue":"3","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["SIAM J. Imaging Sci."],"published-print":{"date-parts":[[2015,1]]},"abstract":"<jats:p>In this paper we introduce a diffeomorphic constraint on the deformations considered in the deformable Bayesian mixed effect template model. Our approach is built on a generic group of diffeomorphisms, which is parameterized by an arbitrary set of control point positions and momentum vectors. This enables us to estimate the optimal positions of control points together with a template image and parameters of the deformation distribution which compose the atlas. We propose to use a stochastic version of the expectation-maximization algorithm where the simulation is performed using the anisotropic Metropolis adjusted Langevin algorithm. We propose also an extension of the model including a sparsity constraint to select an optimal number of control points with relevant positions. Experiments are carried out on the United States Postal Service database, on mandibles of mice, and on three-dimensional murine dendrite spine images.<\/jats:p>","DOI":"10.1137\/140971762","type":"journal-article","created":{"date-parts":[[2015,7,3]],"date-time":"2015-07-03T11:31:56Z","timestamp":1435923116000},"page":"1367-1395","source":"Crossref","is-referenced-by-count":21,"title":["Bayesian Mixed Effect Atlas Estimation with a Diffeomorphic Deformation Model"],"prefix":"10.1137","volume":"8","author":[{"given":"S.","family":"Allassonni\u00e8re","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"S.","family":"Durrleman","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"E.","family":"Kuhn","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"351","published-online":{"date-parts":[[2015,7,2]]},"reference":[{"key":"atypb1","unstructured":"G.M. Aldridge, J.T. Ratnanather, M.E. Martone, M. Terada, M.F. Beg, L. Fong, E. Ceyhan, A.E. Kolasny, T.J.A. Brown, E.L. Cochran, S.J. Tang, D.V. Pisano, M. Vaillant, M.K. Hurdal, J.D Churchill, W.T. Greenough, M. I. Miller, and M.H. Ellisman,\n                      Semi-automated Shape Analysis of Dendrite Spines from Animal Models of Fragilex and Parkinson's Disease using Large Deformation Diffeomorphic Metric Mapping\n                      , in Society for Neuroscience Annual Meeting, Washington DC, 2005."},{"key":"atypb2","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-9868.2007.00574.x"},{"key":"atypb3","doi-asserted-by":"publisher","DOI":"10.1016\/j.csda.2015.04.011"},{"key":"atypb4","doi-asserted-by":"publisher","DOI":"10.1051\/ps\/2009001"},{"key":"atypb5","first-page":"1","volume":"151","author":"Allassonnie\u0300re S.","year":"2010","journal-title":"J. Soc. Fran. Statist."},{"key":"atypb6","doi-asserted-by":"publisher","DOI":"10.3150\/09-BEJ229"},{"key":"atypb7","first-page":"365","author":"Allassonnire S.","year":"2005","journal-title":"Berlin"},{"key":"atypb8","doi-asserted-by":"publisher","DOI":"10.1137\/S0363012902417267"},{"key":"atypb9","doi-asserted-by":"publisher","DOI":"10.1090\/S0002-9947-1950-0051437-7"},{"key":"atypb10","first-page":"1179","volume":"9","author":"Bach F.R.","year":"2008","journal-title":"J. Mach. Learn. Res."},{"key":"atypb11","doi-asserted-by":"publisher","DOI":"10.1137\/080716542"},{"key":"atypb12","doi-asserted-by":"publisher","DOI":"10.1023\/B:VISI.0000043755.93987.aa"},{"key":"atypb13","doi-asserted-by":"publisher","DOI":"10.1007\/s10851-009-0146-1"},{"key":"atypb14","doi-asserted-by":"crossref","unstructured":"E. Ceyhan, L. Fong, T.N. Tasky, M.K. Hurdal, M.F. Beg, M.E. Martone, and J.T. Ratnanather,\n                      Type-specific analysis of morphometry of dendrite spines of mice\n                      , in 5th International Symposium on Image and Signal Processing and Analysis, 2007, IEEE, Piscataway, NJ, pp. 7-12.","DOI":"10.1109\/ISPA.2007.4383655"},{"key":"atypb15","unstructured":"E. Ceyhan, R. lken, L. Fong, T.N. Tasky, M.K. Hurdal, M.F. Beg, M.E. Martone, and J.T. Ratnanather,\n                      Modeling metric distances of dendrite spines of mice based on morphometric measures\n                      , in International Symposium on Health Informatics and Bioinformatics, Antalya, Turkey, 2007."},{"key":"atypb16","doi-asserted-by":"publisher","DOI":"10.1109\/83.536892"},{"key":"atypb17","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1018031103"},{"key":"atypb18","doi-asserted-by":"publisher","DOI":"10.1090\/qam\/1632326"},{"key":"atypb19","unstructured":"S. Durrleman,\n                      Statistical Models of Currents for Measuring the Variability of Anatomical Curves, Surfaces and their Evolution\n                      , Ph.D. thesis, Universite\u0301 Nice-Sophia Antipolis, France, 2010."},{"key":"atypb20","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-012-0556-1"},{"key":"atypb21","first-page":"123","author":"Durrleman S.","year":"2011","journal-title":"Berlin"},{"key":"atypb22","doi-asserted-by":"publisher","DOI":"10.1023\/B:JMIV.0000011326.88682.e5"},{"key":"atypb23","doi-asserted-by":"crossref","unstructured":"U. Grenander,\n                      General Pattern Theory\n                      , Oxford Science Publications, Oxford, 1993.","DOI":"10.1093\/oso\/9780198536710.001.0001"},{"key":"atypb24","doi-asserted-by":"publisher","DOI":"10.1090\/qam\/1668732"},{"key":"atypb25","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2004.07.017"},{"key":"atypb26","doi-asserted-by":"publisher","DOI":"10.1109\/83.855431"},{"key":"atypb27","doi-asserted-by":"publisher","DOI":"10.1051\/ps:2004007"},{"key":"atypb28","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2008.03.056"},{"key":"atypb29","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2004.831228"},{"key":"atypb30","doi-asserted-by":"publisher","DOI":"10.1137\/10081678X"},{"key":"atypb31","doi-asserted-by":"publisher","DOI":"10.1002\/hbm.20655"},{"key":"atypb32","doi-asserted-by":"publisher","DOI":"10.1146\/annurev.bioeng.4.092101.125733"},{"key":"atypb33","doi-asserted-by":"publisher","DOI":"10.1007\/s10851-005-3624-0"},{"key":"atypb34","doi-asserted-by":"publisher","DOI":"10.1023\/A:1011161132514"},{"key":"atypb35","doi-asserted-by":"publisher","DOI":"10.1007\/s10851-006-6228-4"},{"key":"atypb36","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2011.2146787"},{"key":"atypb37","doi-asserted-by":"publisher","DOI":"10.1007\/s10851-012-0409-0"},{"key":"atypb38","doi-asserted-by":"publisher","DOI":"10.1016\/S1361-8415(98)80022-4"},{"key":"atypb39","doi-asserted-by":"publisher","DOI":"10.1023\/A:1008001603737"},{"key":"atypb40","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2004.07.023"},{"key":"atypb41","doi-asserted-by":"crossref","unstructured":"F.X. Vialard and L. Risser,\n                      Spatially-varying metric learning for diffeomorphic image registration: A variational framework\n                      , in Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, Boston, 2014, Part I, Cham, Switzerland, 2014, pp. 227-234.","DOI":"10.1007\/978-3-319-10404-1_29"},{"key":"atypb42","first-page":"37","author":"Zhang M.","year":"2013","journal-title":"Berlin"}],"container-title":["SIAM Journal on Imaging Sciences"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/epubs.siam.org\/doi\/pdf\/10.1137\/140971762","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,8,21]],"date-time":"2026-08-21T13:20:45Z","timestamp":1787318445000},"score":1,"resource":{"primary":{"URL":"https:\/\/epubs.siam.org\/doi\/10.1137\/140971762"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,1]]},"references-count":42,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2015,1]]}},"alternative-id":["10.1137\/140971762"],"URL":"https:\/\/doi.org\/10.1137\/140971762","relation":{},"ISSN":["1936-4954"],"issn-type":[{"value":"1936-4954","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015,1]]}}}