{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,18]],"date-time":"2026-02-18T13:08:20Z","timestamp":1771420100119,"version":"3.50.1"},"reference-count":55,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,1,13]],"date-time":"2026-01-13T00:00:00Z","timestamp":1768262400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100003061","name":"Erasmus MC Universitair Medisch Centrum Rotterdam","doi-asserted-by":"publisher","award":["FB 379283"],"award-info":[{"award-number":["FB 379283"]}],"id":[{"id":"10.13039\/501100003061","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Computerized Medical Imaging and Graphics"],"published-print":{"date-parts":[[2026,2]]},"DOI":"10.1016\/j.compmedimag.2026.102702","type":"journal-article","created":{"date-parts":[[2026,1,14]],"date-time":"2026-01-14T00:24:50Z","timestamp":1768350290000},"page":"102702","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["The 4D Human Embryonic Brain Atlas: Spatiotemporal atlas generation for rapid anatomical changes"],"prefix":"10.1016","volume":"128","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0169-0130","authenticated-orcid":false,"given":"Wietske A.P.","family":"Bastiaansen","sequence":"first","affiliation":[]},{"given":"Melek","family":"Rousian","sequence":"additional","affiliation":[]},{"given":"Anton H.J.","family":"Koning","sequence":"additional","affiliation":[]},{"given":"Wiro J.","family":"Niessen","sequence":"additional","affiliation":[]},{"given":"Bernadette S.","family":"de Bakker","sequence":"additional","affiliation":[]},{"given":"R\u00e9gine P.M.","family":"Steegers-Theunissen","sequence":"additional","affiliation":[]},{"given":"Stefan","family":"Klein","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.compmedimag.2026.102702_b1","doi-asserted-by":"crossref","first-page":"95","DOI":"10.1016\/j.neuroimage.2007.07.007","article-title":"A fast diffeomorphic image registration algorithm","volume":"38","author":"Ashburner","year":"2007","journal-title":"Neuroimage"},{"issue":"6","key":"10.1016\/j.compmedimag.2026.102702_b2","doi-asserted-by":"crossref","first-page":"805","DOI":"10.1006\/nimg.2000.0582","article-title":"Voxel-based morphometry\u2014the methods","volume":"11","author":"Ashburner","year":"2000","journal-title":"Neuroimage"},{"issue":"8","key":"10.1016\/j.compmedimag.2026.102702_b3","doi-asserted-by":"crossref","first-page":"1788","DOI":"10.1109\/TMI.2019.2897538","article-title":"VoxelMorph: a learning framework for deformable medical image registration","volume":"38","author":"Balakrishnan","year":"2019","journal-title":"IEEE Trans. Med. Imaging"},{"key":"10.1016\/j.compmedimag.2026.102702_b4","first-page":"23","article-title":"Free-form B-spline deformation model for groupwise registration","author":"Balci","year":"2007","journal-title":"Med Image Comput. Comput Assist. Interv"},{"key":"10.1016\/j.compmedimag.2026.102702_b5","article-title":"Automatic human embryo volume measurement in first trimester ultrasound from the rotterdam periconception cohort: quantitative and qualitative evaluation of artificial intelligence","volume":"27","author":"Bastiaansen","year":"2025","journal-title":"J. Med. Internet Res."},{"key":"10.1016\/j.compmedimag.2026.102702_b6","first-page":"1","article-title":"Multi-atlas segmentation and spatial alignment of the human embryo in first trimester 3D ultrasound","volume":"020","author":"Bastiaansen","year":"2022","journal-title":"J. Mach. Learn. Biomed. Imaging"},{"key":"10.1016\/j.compmedimag.2026.102702_b7","series-title":"International Workshop on Biomedical Image Registration","first-page":"29","article-title":"Towards a 4D spatio-temporal atlas of the embryonic and fetal brain using a deep learning approach for groupwise image registration","author":"Bastiaansen","year":"2022"},{"issue":"1","key":"10.1016\/j.compmedimag.2026.102702_b8","doi-asserted-by":"crossref","first-page":"289","DOI":"10.1111\/j.2517-6161.1995.tb02031.x","article-title":"Controlling the false discovery rate: a practical and powerful approach to multiple testing","volume":"57","author":"Benjamini","year":"1995","journal-title":"J. R. Stat. Soc. Ser. B Stat. Methodol."},{"key":"10.1016\/j.compmedimag.2026.102702_b9","doi-asserted-by":"crossref","unstructured":"Bhatia, K.K., Hajnal, J.V., Puri, B.K., Edwards, A.D., Rueckert, D., 2004. Consistent groupwise non-rigid registration for atlas construction. In: 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano To Macro. Vol. 1, pp. 908\u2013911.","DOI":"10.1109\/ISBI.2004.1398686"},{"issue":"S1","key":"10.1016\/j.compmedimag.2026.102702_b10","article-title":"OP26. 09: influence of an ultrasound consultation on maternal feelings and interactive behaviour","volume":"34","author":"Boukydis","year":"2009","journal-title":"Ultrasound Obs. Gynecol."},{"issue":"5","key":"10.1016\/j.compmedimag.2026.102702_b11","article-title":"Diagnostic accuracy of ultrasound screening for fetal structural abnormalities during the first and second trimester of pregnancy in low-risk and unselected populations","author":"Buijtendijk","year":"2024","journal-title":"Cochrane Database Syst. Rev."},{"key":"10.1016\/j.compmedimag.2026.102702_b12","doi-asserted-by":"crossref","DOI":"10.1016\/j.neuroimage.2022.119700","article-title":"Deciphering the developmental order and microstructural patterns of early white matter pathways in a diffusion MRI based fetal brain atlas","volume":"264","author":"Chen","year":"2022","journal-title":"Neuroimage"},{"key":"10.1016\/j.compmedimag.2026.102702_b13","doi-asserted-by":"crossref","DOI":"10.1016\/j.media.2024.103396","article-title":"COLLATOR: Consistent spatial\u2013temporal longitudinal atlas construction via implicit neural representation","volume":"100","author":"Chen","year":"2025","journal-title":"Med. Image Anal."},{"key":"10.1016\/j.compmedimag.2026.102702_b14","article-title":"Learning conditional deformable templates with convolutional networks","volume":"32","author":"Dalca","year":"2019","journal-title":"Adv. Neural Inf. Process. Syst."},{"issue":"6315","key":"10.1016\/j.compmedimag.2026.102702_b15","doi-asserted-by":"crossref","first-page":"aag0053","DOI":"10.1126\/science.aag0053","article-title":"An interactive three-dimensional digital atlas and quantitative database of human development","volume":"354","author":"de Bakker","year":"2016","journal-title":"Science"},{"issue":"3","key":"10.1016\/j.compmedimag.2026.102702_b16","doi-asserted-by":"crossref","first-page":"297","DOI":"10.2307\/1932409","article-title":"Measures of the amount of ecologic association between species","volume":"26","author":"Dice","year":"1945","journal-title":"Ecology"},{"issue":"4","key":"10.1016\/j.compmedimag.2026.102702_b17","doi-asserted-by":"crossref","first-page":"427","DOI":"10.1109\/TMI.2007.892508","article-title":"Brain functional localization: a survey of image registration techniques","volume":"26","author":"Gholipour","year":"2007","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"2","key":"10.1016\/j.compmedimag.2026.102702_b18","doi-asserted-by":"crossref","first-page":"140","DOI":"10.1111\/j.1467-789X.2007.00464.x","article-title":"Maternal obesity: pregnancy complications, gestational weight gain and nutrition","volume":"9","author":"Guelinckx","year":"2008","journal-title":"Obes Rev"},{"issue":"2","key":"10.1016\/j.compmedimag.2026.102702_b19","doi-asserted-by":"crossref","first-page":"460","DOI":"10.1016\/j.neuroimage.2010.06.054","article-title":"A spatiotemporal atlas of MR intensity, tissue probability and shape of the fetal brain with application to segmentation","volume":"53","author":"Habas","year":"2010","journal-title":"Neuroimage"},{"issue":"2","key":"10.1016\/j.compmedimag.2026.102702_b20","doi-asserted-by":"crossref","first-page":"203","DOI":"10.1038\/s41592-020-01008-z","article-title":"nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation","volume":"18","author":"Isensee","year":"2021","journal-title":"Nat Methods"},{"key":"10.1016\/j.compmedimag.2026.102702_b21","doi-asserted-by":"crossref","first-page":"593","DOI":"10.1016\/j.neuroimage.2018.08.030","article-title":"Fetal brain growth portrayed by a spatiotemporal diffusion tensor MRI atlas computed from in utero images","volume":"185","author":"Khan","year":"2019","journal-title":"Neuroimage"},{"issue":"5","key":"10.1016\/j.compmedimag.2026.102702_b22","doi-asserted-by":"crossref","first-page":"968","DOI":"10.1093\/humrep\/dew043","article-title":"Growth trajectories of the human embryonic head and periconceptional maternal conditions","volume":"31","author":"Koning","year":"2016","journal-title":"Hum. Reprod."},{"issue":"6","key":"10.1016\/j.compmedimag.2026.102702_b23","doi-asserted-by":"crossref","first-page":"1230","DOI":"10.1093\/humrep\/dex079","article-title":"Prenatal cerebellar growth trajectories and the impact of periconceptional maternal and fetal factors","volume":"32","author":"Koning","year":"2017","journal-title":"Hum. Reprod."},{"issue":"4","key":"10.1016\/j.compmedimag.2026.102702_b24","doi-asserted-by":"crossref","first-page":"2750","DOI":"10.1016\/j.neuroimage.2010.10.019","article-title":"A dynamic 4D probabilistic atlas of the developing brain","volume":"54","author":"Kuklisova-Murgasova","year":"2011","journal-title":"Neuroimage","ISSN":"https:\/\/id.crossref.org\/issn\/1053-8119","issn-type":"print"},{"key":"10.1016\/j.compmedimag.2026.102702_b25","first-page":"1","article-title":"Principal component analysis (PCA)","author":"Kurita","year":"2019","journal-title":"Comput. Vis.: A Ref. Guid."},{"key":"10.1016\/j.compmedimag.2026.102702_b26","doi-asserted-by":"crossref","first-page":"475","DOI":"10.1007\/s00404-007-0368-7","article-title":"Two-versus three-dimensional ultrasound in the second and third trimester of pregnancy: impact on recognition and maternal\u2013fetal bonding. a prospective pilot study","volume":"276","author":"Lapaire","year":"2007","journal-title":"Arch. Gynecol. Obstet."},{"key":"10.1016\/j.compmedimag.2026.102702_b27","doi-asserted-by":"crossref","DOI":"10.1109\/TMI.2022.3166593","article-title":"An iterative centroid approach for diffeomorphic online atlasing","author":"Legouhy","year":"2022","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"1","key":"10.1016\/j.compmedimag.2026.102702_b28","doi-asserted-by":"crossref","first-page":"22","DOI":"10.1016\/j.media.2015.04.005","article-title":"Construction of 4D high-definition cortical surface atlases of infants: Methods and applications","volume":"25","author":"Li","year":"2015","journal-title":"Med. Image Anal."},{"issue":"2","key":"10.1016\/j.compmedimag.2026.102702_b29","doi-asserted-by":"crossref","first-page":"1275","DOI":"10.1016\/j.neuroimage.2011.07.095","article-title":"A novel framework for longitudinal atlas construction with groupwise registration of subject image sequences","volume":"59","author":"Liao","year":"2012","journal-title":"NeuroImage"},{"issue":"3","key":"10.1016\/j.compmedimag.2026.102702_b30","doi-asserted-by":"crossref","first-page":"714","DOI":"10.1016\/j.fertnstert.2007.07.1290","article-title":"Does high body mass index increase the risk of miscarriage after spontaneous and assisted conception? A meta-analysis of the evidence","volume":"90","author":"Metwally","year":"2008","journal-title":"Fertil. Steril."},{"key":"10.1016\/j.compmedimag.2026.102702_b31","series-title":"Data Driven Treatment Response Assessment and Preterm, Perinatal, and Paediatric Image Analysis","first-page":"76","article-title":"Multi-channel groupwise registration to construct an ultrasound-specific fetal brain atlas","author":"Namburete","year":"2018"},{"key":"10.1016\/j.compmedimag.2026.102702_b32","first-page":"1","article-title":"Normative spatiotemporal fetal brain maturation with satisfactory development at 2 years","author":"Namburete","year":"2023","journal-title":"Nature"},{"key":"10.1016\/j.compmedimag.2026.102702_b33","doi-asserted-by":"crossref","first-page":"865","DOI":"10.1016\/j.neuroimage.2018.04.003","article-title":"Baby brain atlases","volume":"185","author":"Oishi","year":"2019","journal-title":"Neuroimage"},{"issue":"3","key":"10.1016\/j.compmedimag.2026.102702_b34","doi-asserted-by":"crossref","first-page":"271","DOI":"10.1080\/02646838.2019.1637516","article-title":"A cross-sectional study of maternal-fetal attachment and perceived stress at the first antenatal visit.","volume":"38","author":"O\u2019Malley","year":"2020","journal-title":"J. Reprod. Infant. Psychol."},{"issue":"2","key":"10.1016\/j.compmedimag.2026.102702_b35","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1016\/j.aanat.2008.01.001","article-title":"Significant features in the early prenatal development of the human brain","volume":"190","author":"O\u2019Rahilly","year":"2008","journal-title":"Ann. Anatomy-Anatomischer Anz."},{"key":"10.1016\/j.compmedimag.2026.102702_b36","doi-asserted-by":"crossref","first-page":"476","DOI":"10.1002\/uog.22145","article-title":"ISUOG Practice Guidelines (updated): sonographic examination of the fetal central nervous system. Part 1: performance of screening examination and indications for targeted neurosonography","volume":"56","author":"Paladini","year":"2020","journal-title":"Ultrasound. Obstet. Gynecol"},{"issue":"4","key":"10.1016\/j.compmedimag.2026.102702_b37","doi-asserted-by":"crossref","first-page":"661","DOI":"10.1002\/uog.23616","article-title":"ISUOG practice guidelines (updated): sonographic examination of the fetal central nervous system. Part 2: performance of targeted neurosonography","volume":"57","author":"Paladini","year":"2021","journal-title":"Ultrasound. Obstet. Gynecol"},{"key":"10.1016\/j.compmedimag.2026.102702_b38","series-title":"Medical Image Computing and Computer Assisted Intervention\u2013MICCAI 2021: 24th International Conference, Strasbourg, France, September 27\u2013October 1, 2021, Proceedings, Part VII 24","first-page":"239","article-title":"Learning spatiotemporal probabilistic atlas of fetal brains with anatomically constrained registration network","author":"Pei","year":"2021"},{"key":"10.1016\/j.compmedimag.2026.102702_b39","article-title":"OC07. 05: Health-related quality of life after a 3D virtual reality first trimester anomaly scan in a randomised clinical trial (VR fetUS study)","volume":"60","author":"Pietersma","year":"2022","journal-title":"Ultrasound Obs. Gynecol."},{"issue":"1","key":"10.1016\/j.compmedimag.2026.102702_b40","first-page":"97","article-title":"Maternal-fetal attachment-update on the role of three-dimensional, four-dimensional and HD live ultrasound","volume":"123","author":"Popovici","year":"2019","journal-title":"Med. Surg. J."},{"key":"10.1016\/j.compmedimag.2026.102702_b41","doi-asserted-by":"crossref","unstructured":"Rombach, R., Blattmann, A., Lorenz, D., Esser, P., Ommer, B., 2022. High-resolution image synthesis with latent diffusion models. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. pp. 10684\u201310695.","DOI":"10.1109\/CVPR52688.2022.01042"},{"key":"10.1016\/j.compmedimag.2026.102702_b42","first-page":"1","article-title":"Cohort Profile Update: the Rotterdam Periconceptional Cohort and embryonic and fetal measurements using 3D ultrasound and virtual reality techniques","author":"Rousian","year":"2021","journal-title":"Int. J. Epidemiol."},{"key":"10.1016\/j.compmedimag.2026.102702_b43","series-title":"Medical Image Computing and Computer-Assisted Intervention\u2013MICCAI 2004: 7th International Conference, Saint-Malo, France, September 26-29, 2004. Proceedings, Part I 7","first-page":"696","article-title":"Construction of a brain template from MR images using state-of-the-art registration and segmentation techniques","author":"Seghers","year":"2004"},{"issue":"3","key":"10.1016\/j.compmedimag.2026.102702_b44","doi-asserted-by":"crossref","first-page":"2255","DOI":"10.1016\/j.neuroimage.2011.09.062","article-title":"Construction of a consistent high-definition spatio-temporal atlas of the developing brain using adaptive kernel regression","volume":"59","author":"Serag","year":"2012","journal-title":"Neuroimage"},{"key":"10.1016\/j.compmedimag.2026.102702_b45","doi-asserted-by":"crossref","first-page":"374","DOI":"10.1093\/ije\/dyv147","article-title":"Cohort profile: The rotterdam periconceptional cohort (predict study)","volume":"45","author":"Steegers-Theunissen","year":"2016","journal-title":"Int. J. Epidemiol."},{"issue":"22","key":"10.1016\/j.compmedimag.2026.102702_b46","doi-asserted-by":"crossref","first-page":"2941","DOI":"10.1080\/14767058.2017.1359825","article-title":"The effect of obesity on early fetal growth and pregnancy duration: a cohort study","volume":"31","author":"Thagaard","year":"2018","journal-title":"J Matern. Fetal Neonatal Med"},{"issue":"7","key":"10.1016\/j.compmedimag.2026.102702_b47","doi-asserted-by":"crossref","first-page":"1753","DOI":"10.1093\/humrep\/det115","article-title":"Human embryonic growth trajectories and associations with fetal growth and birthweight","volume":"28","author":"van Uitert","year":"2013","journal-title":"Hum. Reprod."},{"key":"10.1016\/j.compmedimag.2026.102702_b48","first-page":"721","article-title":"Multi-channel 4D parametrized atlas of macro-and microstructural neonatal brain development","author":"Uus","year":"2021","journal-title":"Front. Neurosci."},{"issue":"2","key":"10.1016\/j.compmedimag.2026.102702_b49","doi-asserted-by":"crossref","first-page":"204","DOI":"10.1002\/uog.23149","article-title":"First-trimester fetal neurosonography: technique and diagnostic potential","volume":"57","author":"Volpe","year":"2021","journal-title":"Ultrasound. Obstet. Gynecol"},{"issue":"1","key":"10.1016\/j.compmedimag.2026.102702_b50","doi-asserted-by":"crossref","DOI":"10.3149\/fth.1201.18","article-title":"Moving up the\u201d magic moment\u201d: Fathers\u2019 experience of prenatal ultrasound.","volume":"12","author":"Walsh","year":"2014","journal-title":"Fathering"},{"issue":"4","key":"10.1016\/j.compmedimag.2026.102702_b51","doi-asserted-by":"crossref","first-page":"600","DOI":"10.1109\/TIP.2003.819861","article-title":"Image quality assessment: from error visibility to structural similarity","volume":"13","author":"Wang","year":"2004","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.compmedimag.2026.102702_b52","doi-asserted-by":"crossref","DOI":"10.1016\/j.neuroimage.2021.118412","article-title":"Age-specific structural fetal brain atlases construction and cortical development quantification for chinese population","volume":"241","author":"Wu","year":"2021","journal-title":"Neuroimage"},{"issue":"50","key":"10.1016\/j.compmedimag.2026.102702_b53","doi-asserted-by":"crossref","first-page":"9435","DOI":"10.1523\/JNEUROSCI.1285-22.2022","article-title":"Spatiotemporal atlas of the fetal brain depicts cortical developmental gradient","volume":"42","author":"Xu","year":"2022","journal-title":"J. Neurosci."},{"key":"10.1016\/j.compmedimag.2026.102702_b54","doi-asserted-by":"crossref","first-page":"115","DOI":"10.1016\/j.neuroimage.2013.05.063","article-title":"Spatial\u2013temporal atlas of human fetal brain development during the early second trimester","volume":"82","author":"Zhan","year":"2013","journal-title":"Neuroimage"},{"issue":"6","key":"10.1016\/j.compmedimag.2026.102702_b55","doi-asserted-by":"crossref","first-page":"1123","DOI":"10.1016\/j.rbmo.2022.02.011","article-title":"Periconceptional maternal social, lifestyle and medical risk factors impair embryonic growth: The rotterdam periconceptional cohort","volume":"44","author":"van Zundert","year":"2022","journal-title":"Reprod Biomed Online"}],"container-title":["Computerized Medical Imaging and Graphics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0895611126000054?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0895611126000054?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,2,18]],"date-time":"2026-02-18T12:30:01Z","timestamp":1771417801000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0895611126000054"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,2]]},"references-count":55,"alternative-id":["S0895611126000054"],"URL":"https:\/\/doi.org\/10.1016\/j.compmedimag.2026.102702","relation":{},"ISSN":["0895-6111"],"issn-type":[{"value":"0895-6111","type":"print"}],"subject":[],"published":{"date-parts":[[2026,2]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"The 4D Human Embryonic Brain Atlas: Spatiotemporal atlas generation for rapid anatomical changes","name":"articletitle","label":"Article Title"},{"value":"Computerized Medical Imaging and Graphics","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.compmedimag.2026.102702","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 The Authors. Published by Elsevier Ltd.","name":"copyright","label":"Copyright"}],"article-number":"102702"}}