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volBrain: An Online MRI Brain Volumetry System

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volBrain: An Online MRI Brain Volumetry System

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dc.contributor.author Manjón Herrera, José Vicente es_ES
dc.contributor.author Coupé, Pierrick es_ES
dc.date.accessioned 2017-07-12T18:53:37Z
dc.date.available 2017-07-12T18:53:37Z
dc.date.issued 2016-07-27
dc.identifier.issn 1662-5196
dc.identifier.uri http://hdl.handle.net/10251/85044
dc.description.abstract The amount of medical image data produced in clinical and research settings is rapidly growing resulting in vast amount of data to analyze. Automatic and reliable quantitative analysis tools, including segmentation, allow to analyze brain development and to understand specific patterns of many neurological diseases. This field has recently experienced many advances with successful techniques based on non-linear warping and label fusion. In this work we present a novel and fully automatic pipeline for volumetric brain analysis based on multi-atlas label fusion technology that is able to provide accurate volumetric information at different levels of detail in a short time. This method is available through the volBrain online web interface (http://volbrain.upv.es), which is publically and freely accessible to the scientific community. Our new framework has been compared with current state-of-the-art methods showing very competitive results. es_ES
dc.description.sponsorship We want to thank Sebastian Mouelboeck for his help to improve the robustness and reproducibility of the platform. We want also to thank Jose Enrique Romero Gomez and Elena Carrascosa for their help developing the volBrain web interface. This work benefited from the use of ITK-SNAP from the Insight Segmentation and Registration Toolkit (ITK) for 3D rendering. We also want to thank CBRAIN team (especially Marc Rousseau) for their help during experiments and for providing a really nice system to the community. This research was partially supported by the Spanish grant TIN2013-43457-R from the Ministerio de Economia y competitividad. This study has been also carried out with financial support from the French State, managed by the French National Research Agency (ANR) in the frame of the Investments for the future Programme IdEx Bordeaux (ANR-10-IDEX-03-02) by funding HL-MRI grant, Cluster of excellence CPU, LaBEX TRAIL (HR-DTI ANR-10-LABX-57), and the CNRS multidisciplinary project "Defi ImagIn." OASIS data used was collected thanks to grants: P50 AG05681, P01 AG03991, R01 AG021910, P50 MH071616, U24 RR021382, and R01 MH56584. IXI data used was collected thanks to the grant EPSRC GR/S21533/02. en_EN
dc.language Inglés es_ES
dc.publisher Frontiers Media es_ES
dc.relation.ispartof Frontiers in Neuroinformatics es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject MRI es_ES
dc.subject Brain es_ES
dc.subject Segmentation es_ES
dc.subject Multi-atlas label fusion es_ES
dc.subject Cloud computing es_ES
dc.subject.classification FISICA APLICADA es_ES
dc.title volBrain: An Online MRI Brain Volumetry System es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3389/fninf.2016.00030
dc.relation.projectID info:eu-repo/grantAgreement/NIH/NATIONAL INSTITUTE ON AGING/5R01AG021910-05/US/
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//TIN2013-43457-R/ES/CARACTERIZACION DE FIRMAS BIOLOGICAS DE GLIOBLASTOMAS MEDIANTE MODELOS NO-SUPERVISADOS DE PREDICCION ESTRUCTURADA BASADOS EN BIOMARCADORES DE IMAGEN/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/NIH/NATIONAL INSTITUTE ON AGING/5P50AG005681-19/US/
dc.relation.projectID info:eu-repo/grantAgreement/UKRI//GR%2FS21533%2F02/GB/Information eXtraction from Images (IXI)/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/NIH/NATIONAL INSTITUTE ON AGING/3P01AG003991-13S1/US/
dc.relation.projectID info:eu-repo/grantAgreement/ANR//ANR-10-LABX-0057/FR/Translational Research and Advanced Imaging Laboratory/TRAIL/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/NIH/NATIONAL CENTER FOR RESEARCH RESOURCES/5U24RR021382-04/US/
dc.relation.projectID info:eu-repo/grantAgreement/ANR//ANR-10-IDEX-0003/FR/Initiative d’excellence de l’Université de Bordeaux/IDEX BORDEAUX/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/NIH/NATIONAL INSTITUTE OF MENTAL HEALTH/5R01MH056584-11/US/
dc.relation.projectID info:eu-repo/grantAgreement/NIH/NATIONAL INSTITUTE OF MENTAL HEALTH/5P50MH071616-05/US/
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escola Tècnica Superior d'Enginyeria Informàtica es_ES
dc.description.bibliographicCitation Manjón Herrera, JV.; Coupé, P. (2016). volBrain: An Online MRI Brain Volumetry System. Frontiers in Neuroinformatics. 10(1):1-14. https://doi.org/10.3389/fninf.2016.00030 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://journal.frontiersin.org/article/10.3389/fninf.2016.00030/full es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 14 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 10 es_ES
dc.description.issue 1 es_ES
dc.relation.senia 329840 es_ES
dc.identifier.pmcid PMC4961698 en_EN
dc.contributor.funder Ministerio de Economía y Competitividad
dc.contributor.funder UK Research and Innovation es_ES
dc.contributor.funder Agence Nationale de la Recherche, Francia
dc.contributor.funder Centre National de la Recherche Scientifique, Francia
dc.contributor.funder Engineering and Physical Sciences Research Council, Reino Unido


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