Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021

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• dc.contributor.author Sudre, Carole H.
• dc.contributor.author Gispert López, Juan Domingo
• dc.contributor.author ALFA Study
• dc.date.accessioned 2024-10-29T07:27:41Z
• dc.date.available 2024-10-29T07:27:41Z
• dc.date.issued 2024
• dc.description.abstract Imaging markers of cerebral small vessel disease provide valuable information on brain health, but their manual assessment is time-consuming and hampered by substantial intra- and interrater variability. Automated rating may benefit biomedical research, as well as clinical assessment, but diagnostic reliability of existing algorithms is unknown. Here, we present the results of the VAscular Lesions DetectiOn and Segmentation (Where is VALDO?) challenge that was run as a satellite event at the international conference on Medical Image Computing and Computer Aided Intervention (MICCAI) 2021. This challenge aimed to promote the development of methods for automated detection and segmentation of small and sparse imaging markers of cerebral small vessel disease, namely enlarged perivascular spaces (EPVS) (Task 1), cerebral microbleeds (Task 2) and lacunes of presumed vascular origin (Task 3) while leveraging weak and noisy labels. Overall, 12 teams participated in the challenge proposing solutions for one or more tasks (4 for Task 1-EPVS, 9 for Task 2-Microbleeds and 6 for Task 3-Lacunes). Multi-cohort data was used in both training and evaluation. Results showed a large variability in performance both across teams and across tasks, with promising results notably for Task 1-EPVS and Task 2-Microbleeds and not practically useful results yet for Task 3-Lacunes. It also highlighted the performance inconsistency across cases that may deter use at an individual level, while still proving useful at a population level.
• dc.description.sponsorship The challenge prizes were provided by Nvidia and Icometrix. The SABRE study was funded at baseline by the Medical Research Council, Diabetes UK, and British Heart Foundation and at follow-up by the Wellcome Trust (082464/Z/07/Z), British Heart Foundation (SP/07/ 001/23603, PG/08/103, PG/12/29/29497 and CS/13/1/30327) and Diabetes UK(13/0004774). The Rotterdam Scan Study is supported by the Erasmus MC University Medical Center, the Erasmus University Rotterdam, the Netherlands Organization for Scientific Research (NWO) Grant 918-46-615, the Netherlands Organization for Health Research and Development (ZonMW), the Research Institute for Disease in the Elderly (RIDE), and the European Union Seventh Framework Programme (FP7/2007–2013) under grant agreement No. 601055, VPH-DARE@IT, the Dutch Technology Foundation STW (Perspectief programme: Population Imaging Genetics ) The ALFA study is supported by the La Caixa Foundation. CHS is funded by an Alzheimer’s Society Junior Fellowship (AS-JF-17-011). KVW and SC are supported by the Deep Learning for Medical Image Analysis (DLMedIA) (project no. P15-26), funded by the Dutch Technology Foundation STW, which is part of the Netherlands Organisation for Scientific Research (NWO) and which is partly funded by the Ministry of Economic Affairs, with co-financing by Quantib. FD was funded by Netherlands Organisation for Health Research and Development 104003005. BM, BW and FK are supported through the SFB 824, subproject B12, supported by Deutsche Forschungsgemeinschaft (DFG) through TUM International Graduate School of Science and Engineering (IGSSE), GSC 81. IE is funded by DComEX (Grant agreement ID: 956201). BM acknowledges support by the Helmut Horten Foundation. MdG is an employee of, and holds shares in GSK. GSK had no role in the design of this challenge, or the interpretation of the results. MdB is supported by Netherlands Organisation for Scientific Research (NWO) project VI.C.182.042. SI and LL have received funding from the Innovative Medicines Initiative 2 Joint Undertaking under Amyloid Imaging to Prevent Alzheimer’s Disease (AMYPAD) grant agreement No. 115952 and European Prevention of Alzheimer’s Dementia (EPAD) grant No. 115736. This Joint Undertaking receives the support from the European Union’s Horizon 2020 Research and Innovation Programme and EFPIA . HJK was supported by the Galen and Hilary Weston Foundation under the Novel Biomarkers 2019 scheme (№UB190097). JLM is currently a full-time employee of Lundbeck and has served previously as a consultant or on advisory boards for the following for-profit companies, or has given lectures in symposia sponsored by the following for profit companies: Roche Diagnostics, Genentech, Novartis, Lundbeck, Oryzon, Biogen, Lilly, Janssen, Green Valley, MSD, Eisai, Alector, BioCross, GE Healthcare, and ProMIS Neurosciences. JDG is supported by the Spanish Ministry of Science and Innovation (RYC-2013-13054), has received research support from GE Healthcare, Roche Diagnostics and Hoffmann-La Roche and speaker’s fees from Biogen and Philips.
• dc.format.mimetype application/pdf
• dc.identifier.citation Sudre CH, Van Wijnen K, Dubost F, Adams H, Atkinson D, Barkhof F, et al. Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021. Med Image Anal. 2024 Jan;91:103029. DOI: 10.1016/j.media.2023.103029
• dc.identifier.doi http://dx.doi.org/10.1016/j.media.2023.103029
• dc.identifier.issn 1361-8415
• dc.identifier.uri http://hdl.handle.net/10230/68378
• dc.language.iso eng
• dc.publisher Elsevier
• dc.relation.ispartof Med Image Anal. 2024 Jan;91:103029
• dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/601055
• dc.rights © 2023 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.rights.uri http://creativecommons.org/licenses/by/4.0/
• dc.subject.keyword Automated
• dc.subject.keyword Brain
• dc.subject.keyword CSVD
• dc.subject.keyword Challenge
• dc.subject.keyword Detection
• dc.subject.keyword Enlarged perivascular spaces
• dc.subject.keyword Lacunes
• dc.subject.keyword MRI
• dc.subject.keyword Microbleeds
• dc.subject.keyword Segmentation
• dc.title Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021
• dc.type info:eu-repo/semantics/article
• dc.type.version info:eu-repo/semantics/publishedVersion