{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,26]],"date-time":"2026-10-26T14:38:54Z","timestamp":1793025534591,"version":"4.5.0"},"reference-count":51,"publisher":"Elsevier BV","issue":"2","license":[{"start":{"date-parts":[[2025,5,1]],"date-time":"2025-05-01T00:00:00Z","timestamp":1746057600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2025,5,1]],"date-time":"2025-05-01T00:00:00Z","timestamp":1746057600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2025,5,1]],"date-time":"2025-05-01T00:00:00Z","timestamp":1746057600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2025,5,1]],"date-time":"2025-05-01T00:00:00Z","timestamp":1746057600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2025,5,1]],"date-time":"2025-05-01T00:00:00Z","timestamp":1746057600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2025,5,1]],"date-time":"2025-05-01T00:00:00Z","timestamp":1746057600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,5,1]],"date-time":"2025-05-01T00:00:00Z","timestamp":1746057600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","theclinics.com","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Neuroimaging Clinics of North America"],"published-print":{"date-parts":[[2025,5]]},"DOI":"10.1016\/j.nic.2024.12.003","type":"journal-article","created":{"date-parts":[[2025,2,19]],"date-time":"2025-02-19T12:24:59Z","timestamp":1739967899000},"page":"251-265","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":4,"title":["Avenues in the Analysis of Enlarged Perivascular Spaces Quantified from Brain Magnetic Resonance Images Acquired at 1.5T and 3T Magnetic Field Strengths"],"prefix":"10.1016","volume":"35","author":[{"given":"Maria C.","family":"Vald\u00e9s Hern\u00e1ndez","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Roberto","family":"Duarte Coello","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alexandra","family":"Morozova","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"John","family":"McFadden","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Charlotte","family":"Jardine","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gayle","family":"Barclay","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Donna","family":"McIntyre","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Francesca M.","family":"Chappell","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michael","family":"Stringer","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michael J.","family":"Thrippleton","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Joanna M.","family":"Wardlaw","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"4","key":"10.1016\/j.nic.2024.12.003_bib1","doi-asserted-by":"crossref","first-page":"359","DOI":"10.1177\/1747493019830321","article-title":"Perivascular spaces and their associations with risk factors, clinical disorders and neuroimaging features: a systematic review and meta-analysis","volume":"14","author":"Francis","year":"2019","journal-title":"Int J Stroke"},{"issue":"2","key":"10.1016\/j.nic.2024.12.003_bib2","doi-asserted-by":"crossref","first-page":"e107","DOI":"10.1212\/WNL.0000000000201349","article-title":"Determinants of perivascular spaces in the general population","volume":"100","author":"Evans","year":"2023","journal-title":"Neurology"},{"issue":"4","key":"10.1016\/j.nic.2024.12.003_bib3","doi-asserted-by":"crossref","first-page":"e239196","DOI":"10.1001\/jamanetworkopen.2023.9196","article-title":"Assessment of risk factors and clinical importance of enlarged perivascular spaces by whole-brain investigation in the multi-ethnic study of atherosclerosis","volume":"6","author":"Charisis","year":"2023","journal-title":"JAMA Netw Open"},{"issue":"4","key":"10.1016\/j.nic.2024.12.003_bib4","doi-asserted-by":"crossref","first-page":"950","DOI":"10.1038\/s41591-023-02268-w","article-title":"Genomics of perivascular space burden unravels early mechanisms of cerebral small vessel disease","volume":"29","author":"Duperron","year":"2023","journal-title":"Nat Med [Internet]"},{"issue":"1","key":"10.1016\/j.nic.2024.12.003_bib5","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1177\/08919887231195235","article-title":"Late-life high blood pressure and enlarged perivascular spaces in the putaminal regions of community-dwelling Japanese older persons","volume":"37","author":"Tachibana","year":"2024","journal-title":"J\u00a0Geriatr Psychiatry Neurol"},{"issue":"6","key":"10.1016\/j.nic.2024.12.003_bib6","first-page":"853","article-title":"Virchow-robin spaces: correlations with polysomnography-derived sleep parameters","volume":"38","author":"Berezuk","year":"2015","journal-title":"Sleep"},{"issue":"2","key":"10.1016\/j.nic.2024.12.003_bib7","doi-asserted-by":"crossref","DOI":"10.1111\/jsr.13485","article-title":"Sleep and perivascular spaces in the middle-aged and elderly population","volume":"31","author":"Lysen","year":"2022","journal-title":"J\u00a0Sleep Res"},{"issue":"4","key":"10.1016\/j.nic.2024.12.003_bib8","first-page":"2204","article-title":"Impaired glymphatic drainage underlying obstructive sleep apnea is associated with cognitive dysfunction","volume":"270","author":"Wang","year":"2023","journal-title":"J\u00a0Neurol"},{"key":"10.1016\/j.nic.2024.12.003_bib9","doi-asserted-by":"crossref","DOI":"10.1016\/j.nicl.2019.102120","article-title":"Computational quantification of brain perivascular space morphologies: associations with vascular risk factors and white matter hyperintensities. A study in the Lothian Birth Cohort 1936","volume":"25","author":"Ballerini","year":"2020","journal-title":"Neuroimage Clin"},{"key":"10.1016\/j.nic.2024.12.003_bib10","doi-asserted-by":"crossref","unstructured":"Barnes A, Ballerini L, Vald\u00e9s Hern\u00e1ndez M, et al, Topological relationships between perivascular spaces and progression of white matter hyperintensities: a pilot study in a sample of the Lothian Birth Cohort 1936, Front Neurol, 13, 2022. Available at: https:\/\/www.frontiersin.org\/journals\/neurology\/articles\/10.3389\/fneur.2022.889884. (Accessed 1 August 2024).","DOI":"10.3389\/fneur.2022.889884"},{"key":"10.1016\/j.nic.2024.12.003_bib11","article-title":"Enlarged perivascular spaces are associated with white matter injury, brain atrophy, cognitive decline and markers of inflammation in an autosomal dominant vascular neurodegenerative disease (CADASIL)","author":"Karvelas","year":"2023","journal-title":"bioRxiv"},{"key":"10.1016\/j.nic.2024.12.003_bib12","doi-asserted-by":"crossref","DOI":"10.1016\/j.neuroimage.2024.120685","article-title":"Systematic review and meta-analysis of automated methods for quantifying enlarged perivascular spaces in the brain","volume":"297","author":"Waymont","year":"2024","journal-title":"Neuroimage"},{"key":"10.1016\/j.nic.2024.12.003_bib13","doi-asserted-by":"crossref","unstructured":"Yu L, Hu X, Li H, et al, Perivascular spaces, glymphatic system and MR, Front Neurol, 13, 2022. Available at: https:\/\/www.frontiersin.org\/journals\/neurology\/articles\/10.3389\/fneur.2022.844938. (Accessed 1 August 2024).","DOI":"10.3389\/fneur.2022.844938"},{"issue":"3","key":"10.1016\/j.nic.2024.12.003_bib14","doi-asserted-by":"crossref","first-page":"137","DOI":"10.1038\/s41582-020-0312-z","article-title":"Perivascular spaces in the brain: anatomy, physiology and pathology","volume":"16","author":"Wardlaw","year":"2020","journal-title":"Nat Rev Neurol"},{"issue":"9","key":"10.1016\/j.nic.2024.12.003_bib15","doi-asserted-by":"crossref","first-page":"3210","DOI":"10.1172\/JCI90603","article-title":"Understanding the functions and relationships of the glymphatic system and meningeal lymphatics","volume":"127","author":"Louveau","year":"2017","journal-title":"J\u00a0Clin Invest"},{"key":"10.1016\/j.nic.2024.12.003_bib16","doi-asserted-by":"crossref","unstructured":"Ferris CF, Rethinking the conditions and mechanism for glymphatic clearance, Front Neurosci, 15, 2021. Available at: https:\/\/www.frontiersin.org\/journals\/neuroscience\/articles\/10.3389\/fnins.2021.624690. (Accessed 1 August 2024).","DOI":"10.3389\/fnins.2021.624690"},{"issue":"147","key":"10.1016\/j.nic.2024.12.003_bib17","doi-asserted-by":"crossref","first-page":"147ra111","DOI":"10.1126\/scitranslmed.3003748","article-title":"A\u00a0paravascular pathway facilitates CSF flow through the brain parenchyma and the clearance of interstitial solutes, including amyloid \u03b2","volume":"4","author":"Iliff","year":"2012","journal-title":"Sci Transl Med"},{"issue":"6","key":"10.1016\/j.nic.2024.12.003_bib18","doi-asserted-by":"crossref","first-page":"1046","DOI":"10.1038\/s41593-024-01638-y","article-title":"Brain clearance is reduced during sleep and anesthesia","volume":"27","author":"Miao","year":"2024","journal-title":"Nat Neurosci"},{"issue":"3","key":"10.1016\/j.nic.2024.12.003_bib19","doi-asserted-by":"crossref","first-page":"268","DOI":"10.2463\/mrms.rev.2023-0175","article-title":"Diffusion tensor image analysis ALong the perivascular space (DTI-ALPS): revisiting the meaning and significance of the method","volume":"23","author":"Taoka","year":"2024","journal-title":"Magn Reson Med Sci"},{"key":"10.1016\/j.nic.2024.12.003_bib20","doi-asserted-by":"crossref","DOI":"10.1016\/j.neuroimage.2022.119329","article-title":"Imaging perivascular space structure and function using brain MR imaging","volume":"257","author":"Barisano","year":"2022","journal-title":"Neuroimage"},{"issue":"1","key":"10.1016\/j.nic.2024.12.003_bib21","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1002\/jmri.28369","article-title":"Automated methods for detecting and quantitation of enlarged perivascular spaces on MR imaging","volume":"57","author":"Moses","year":"2023","journal-title":"Journal of Magnetic Resonance Imaging"},{"key":"10.1016\/j.nic.2024.12.003_bib22","doi-asserted-by":"crossref","first-page":"1021311","DOI":"10.3389\/fnins.2022.1021311","article-title":"A critical guide to the automated quantification of perivascular spaces in magnetic resonance imaging","volume":"16","author":"Pham","year":"2022","journal-title":"Front Neurosci"},{"issue":"4","key":"10.1016\/j.nic.2024.12.003_bib23","doi-asserted-by":"crossref","first-page":"774","DOI":"10.1002\/jmri.24047","article-title":"Towards the automatic computational assessment of enlarged perivascular spaces on brain magnetic resonance images: a systematic review","volume":"38","author":"Vald\u00e9s Hern\u00e1ndez","year":"2013","journal-title":"J\u00a0Magn Reson Imag"},{"issue":"8","key":"10.1016\/j.nic.2024.12.003_bib24","doi-asserted-by":"crossref","first-page":"822","DOI":"10.1016\/S1474-4422(13)70124-8","article-title":"Neuroimaging standards for research into small vessel disease and its contribution to ageing and neurodegeneration","volume":"12","author":"Wardlaw","year":"2013","journal-title":"Lancet Neurol"},{"issue":"7","key":"10.1016\/j.nic.2024.12.003_bib25","doi-asserted-by":"crossref","first-page":"602","DOI":"10.1016\/S1474-4422(23)00131-X","article-title":"Neuroimaging standards for research into small vessel disease\u2014advances since 2013","volume":"22","author":"Duering","year":"2023","journal-title":"Lancet Neurol"},{"issue":"3\u20134","key":"10.1016\/j.nic.2024.12.003_bib26","doi-asserted-by":"crossref","first-page":"224","DOI":"10.1159\/000375153","article-title":"Cerebral perivascular spaces visible on magnetic resonance imaging: development of a qualitative rating scale and its observer reliability","volume":"39","author":"Potter","year":"2015","journal-title":"Cerebrovascular Diseases"},{"key":"10.1016\/j.nic.2024.12.003_bib27","doi-asserted-by":"crossref","unstructured":"Laveskog A, Wang R, Bronge L, et al, Perivascular spaces in old age: assessment, distribution, and correlation with white matter hyperintensities, Am J Neuroradiol, 39 (1), 2018, 70. Available at: http:\/\/www.ajnr.org\/content\/39\/1\/70. (Accessed 1 August 2024).","DOI":"10.3174\/ajnr.A5455"},{"key":"10.1016\/j.nic.2024.12.003_bib28","unstructured":"Patankar TF, Mitra D, Varma A, et al, Dilatation of the virchow-robin space is a sensitive indicator of cerebral microvascular disease: study in elderly patients with dementia, Am J Neuroradiol, 26 (6), 2005, 1512. Available at: http:\/\/www.ajnr.org\/content\/26\/6\/1512. (Accessed 1 August 2024)."},{"key":"10.1016\/j.nic.2024.12.003_bib29","doi-asserted-by":"crossref","first-page":"110037","DOI":"10.1016\/j.jneumeth.2023.110037","article-title":"Influence of threshold selection and image sequence in in-vivo segmentation of enlarged perivascular spaces","volume":"403","author":"Vald\u00e9s Hern\u00e1ndez","year":"2024","journal-title":"J\u00a0Neurosci Methods"},{"issue":"1","key":"10.1016\/j.nic.2024.12.003_bib30","doi-asserted-by":"crossref","first-page":"12351","DOI":"10.1038\/s41598-019-48910-x","article-title":"Image processing approaches to enhance perivascular space visibility and quantification using MR imaging","volume":"9","author":"Sepehrband","year":"2019","journal-title":"Sci Rep"},{"issue":"1","key":"10.1016\/j.nic.2024.12.003_bib31","doi-asserted-by":"crossref","first-page":"100162","DOI":"10.1016\/j.ynirp.2023.100162","article-title":"Deep learning based detection of enlarged perivascular spaces on brain MR imaging","volume":"3","author":"Rashid","year":"2023","journal-title":"Neuroimage: Reports"},{"issue":"5","key":"10.1016\/j.nic.2024.12.003_bib32","doi-asserted-by":"crossref","first-page":"e210315","DOI":"10.1148\/ryai.210315","article-title":"RadImageNet: an open radiologic deep learning research dataset for effective transfer learning","volume":"4","author":"Mei","year":"2022","journal-title":"Radiol Artif Intell"},{"key":"10.1016\/j.nic.2024.12.003_bib33","doi-asserted-by":"crossref","first-page":"33","DOI":"10.1016\/j.mri.2022.07.016","article-title":"Assessment of perivascular space filtering methods using a three-dimensional computational model","volume":"93","author":"Bernal","year":"2022","journal-title":"Magn Reson Imaging"},{"key":"10.1016\/j.nic.2024.12.003_bib34","doi-asserted-by":"crossref","first-page":"110039","DOI":"10.1016\/j.jneumeth.2023.110039","article-title":"Detectability and accuracy of computational measurements of in-silico and physical representations of enlarged perivascular spaces from magnetic resonance images","volume":"403","author":"Duarte","year":"2024","journal-title":"J\u00a0Neurosci Methods"},{"key":"10.1016\/j.nic.2024.12.003_bib35","series-title":"Medical image computing and computer-assisted intervention \u2014 MICCAI\u201998","first-page":"130","article-title":"Multiscale vessel enhancement filtering","author":"Frangi","year":"1998"},{"issue":"2","key":"10.1016\/j.nic.2024.12.003_bib36","doi-asserted-by":"crossref","first-page":"304","DOI":"10.1109\/TPAMI.2017.2672972","article-title":"Curvilinear structure analysis by ranking the orientation responses of path operators","volume":"40","author":"Merveille","year":"2018","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"11","key":"10.1016\/j.nic.2024.12.003_bib37","doi-asserted-by":"crossref","first-page":"4213","DOI":"10.1002\/hbm.24241","article-title":"Statistical harmonization corrects site effects in functional connectivity measurements from multi-site fMR imaging data","volume":"39","author":"Yu","year":"2018","journal-title":"Hum Brain Mapp"},{"key":"10.1016\/j.nic.2024.12.003_bib38","series-title":"World congress on medical physics and biomedical engineering, september 7 - 12, 2009, Munich, Germany","first-page":"126","article-title":"CAD Scheme for differential diagnosis of lacunar infarcts and normal Virchow-Robin spaces on brain MR images","author":"Uchiyama","year":"2009"},{"issue":"8","key":"10.1016\/j.nic.2024.12.003_bib39","doi-asserted-by":"crossref","first-page":"1913","DOI":"10.1161\/STROKEAHA.118.021137","article-title":"Perivascular spaces volume in sporadic and hereditary (Dutch-type) cerebral amyloid angiopathy","volume":"49","author":"Martinez-Ramirez","year":"2018","journal-title":"Stroke"},{"key":"10.1016\/j.nic.2024.12.003_bib40","series-title":"OR 20 context-aware operating theaters and machine learning in clinical neuroimaging","first-page":"103","article-title":"Automated quantification of enlarged perivascular spaces in clinical brain MR imaging across sites","author":"Dubost","year":"2019"},{"key":"10.1016\/j.nic.2024.12.003_bib41","doi-asserted-by":"crossref","first-page":"116126","DOI":"10.1016\/j.neuroimage.2019.116126","article-title":"Autoidentification of perivascular spaces in white matter using clinical field strength T1 and FLAIR MR imaging","volume":"202","author":"Schwartz","year":"2019","journal-title":"Neuroimage"},{"key":"10.1016\/j.nic.2024.12.003_bib42","unstructured":"Sudre CH, Gomez Anson B, Ingala S, et al. 3D multirater RCNN for multimodal multiclass detection and characterisation of extremely small objects. In: Cardoso MJ, Feragen A, Glocker B, et al., editors. Proceedings of the 2nd international conference on medical imaging with deep learning, 2019, ICL South Kensington Campus, London. PMLR; 2019. p. 447\u2013456. (Proceedings of Machine Learning Research; vol. 102). Available at: https:\/\/proceedings.mlr.press\/v102\/sudre19a.html. (Accessed 1 August 2024)."},{"issue":"1","key":"10.1016\/j.nic.2024.12.003_bib43","doi-asserted-by":"crossref","first-page":"6","DOI":"10.1038\/s44172-023-00140-w","article-title":"Learning multi-site harmonization of magnetic resonance images without traveling human phantoms","volume":"3","author":"Liu","year":"2024","journal-title":"Communications Engineering"},{"key":"10.1016\/j.nic.2024.12.003_bib44","doi-asserted-by":"crossref","first-page":"120125","DOI":"10.1016\/j.neuroimage.2023.120125","article-title":"Image harmonization: a review of statistical and deep learning methods for\u00a0removing batch effects and evaluation metrics for effective harmonization","volume":"274","author":"Hu","year":"2023","journal-title":"Neuroimage"},{"key":"10.1016\/j.nic.2024.12.003_bib45","doi-asserted-by":"crossref","first-page":"108200","DOI":"10.1016\/j.cmpb.2024.108200","article-title":"All you need is data preparation: a systematic review of image harmonization techniques in Multi-center\/device studies for medical support systems","volume":"250","author":"Seoni","year":"2024","journal-title":"Comput Methods Programs Biomed"},{"issue":"1","key":"10.1016\/j.nic.2024.12.003_bib46","doi-asserted-by":"crossref","first-page":"10186","DOI":"10.1038\/s41598-022-13937-0","article-title":"Image resampling and discretization effect on the estimate of myocardial radiomic features from T1 and T2 mapping in hypertrophic cardiomyopathy","volume":"12","author":"Marfisi","year":"2022","journal-title":"Sci Rep"},{"issue":"3","key":"10.1016\/j.nic.2024.12.003_bib47","doi-asserted-by":"crossref","first-page":"908","DOI":"10.1002\/jmri.27908","article-title":"Deep generative medical image harmonization for improving cross-site generalization in deep learning predictors","volume":"55","author":"Bashyam","year":"2022","journal-title":"Journal of Magnetic Resonance Imaging"},{"key":"10.1016\/j.nic.2024.12.003_bib48","doi-asserted-by":"crossref","unstructured":"Orlhac F, Eertink JJ, Cottereau AS, et al, A guide to ComBat harmonization of imaging Biomarkers in multicenter studies, J Nucl Med, 63 (2), 2022, 172. Available at: http:\/\/jnm.snmjournals.org\/content\/63\/2\/172. (Accessed 1 August 2024).","DOI":"10.2967\/jnumed.121.262464"},{"issue":"2","key":"10.1016\/j.nic.2024.12.003_bib49","doi-asserted-by":"crossref","first-page":"210","DOI":"10.1109\/TRPMS.2019.2893860","article-title":"Creating robust predictive radiomic models for data from independent institutions using normalization","volume":"3","author":"Chatterjee","year":"2019","journal-title":"IEEE Trans Radiat Plasma Med Sci"},{"key":"10.1016\/j.nic.2024.12.003_bib50","doi-asserted-by":"crossref","first-page":"117689","DOI":"10.1016\/j.neuroimage.2020.117689","article-title":"Deep learning-based unlearning of dataset bias for MR imaging harmonisation and confound removal","volume":"228","author":"Dinsdale","year":"2021","journal-title":"Neuroimage"},{"key":"10.1016\/j.nic.2024.12.003_bib51","doi-asserted-by":"crossref","first-page":"102789","DOI":"10.1016\/j.media.2023.102789","article-title":"SynthSeg: segmentation of brain MR imaging scans of any contrast and resolution without retraining","volume":"86","author":"Billot","year":"2023","journal-title":"Med Image Anal"}],"container-title":["Neuroimaging Clinics of North America"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1052514924001059?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1052514924001059?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,7,1]],"date-time":"2025-07-01T18:38:02Z","timestamp":1751395082000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1052514924001059"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,5]]},"references-count":51,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2025,5]]}},"alternative-id":["S1052514924001059"],"URL":"https:\/\/doi.org\/10.1016\/j.nic.2024.12.003","relation":{},"ISSN":["1052-5149"],"issn-type":[{"value":"1052-5149","type":"print"}],"subject":[],"published":{"date-parts":[[2025,5]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Avenues in the Analysis of Enlarged Perivascular Spaces Quantified from Brain Magnetic Resonance Images Acquired at 1.5T and 3T Magnetic Field Strengths","name":"articletitle","label":"Article Title"},{"value":"Neuroimaging Clinics of North America","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.nic.2024.12.003","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2024 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}]}}