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Small Animal Shanoir (SAS) A Cloud-Based Solution for Managing Preclinical MR Brain Imaging Studies.
Kain, Michael; Bodin, Marjolaine; Loury, Simon; Chi, Yao; Louis, Julien; Simon, Mathieu; Lamy, Julien; Barillot, Christian; Dojat, Michel.
Afiliação
  • Kain M; INRIA U1228, INSERM, Université de Rennes, Rennes, France.
  • Bodin M; INSERM U1216, Grenoble Institut des Neurosciences, Université Grenoble Alpes, CHU Grenoble Alpes, Grenoble, France.
  • Loury S; INSERM U1216, Grenoble Institut des Neurosciences, Université Grenoble Alpes, CHU Grenoble Alpes, Grenoble, France.
  • Chi Y; INRIA U1228, INSERM, Université de Rennes, Rennes, France.
  • Louis J; INRIA U1228, INSERM, Université de Rennes, Rennes, France.
  • Simon M; INRIA U1228, INSERM, Université de Rennes, Rennes, France.
  • Lamy J; ICube, University of Strasbourg-CNRS, Strasbourg, France.
  • Barillot C; INRIA U1228, INSERM, Université de Rennes, Rennes, France.
  • Dojat M; INSERM U1216, Grenoble Institut des Neurosciences, Université Grenoble Alpes, CHU Grenoble Alpes, Grenoble, France.
Front Neuroinform ; 14: 20, 2020.
Article em En | MEDLINE | ID: mdl-32508612
Clinical multicenter imaging studies are frequent and rely on a wide range of existing tools for sharing data and processing pipelines. This is not the case for preclinical (small animal) studies. Animal population imaging is still in infancy, especially because a complete standardization and control of initial conditions in animal models across labs is still difficult and few studies aim at standardization of acquisition and post-processing techniques. Clearly, there is a need of appropriate tools for the management and sharing of data, post-processing and analysis methods dedicated to small animal imaging. Solutions developed for Human imaging studies cannot be directly applied to this specific domain. In this paper, we present the Small Animal Shanoir (SAS) solution for supporting animal population imaging using tools compatible with open data. The integration of automated workflow tools ensures accessibility and reproducibility of research outputs. By sharing data and imaging processing tools, hosted by SAS, we promote data preparation and tools for reproducibility and reuse, and participation in multicenter or replication "open science" studies contributing to the improvement of quality science in preclinical domain. SAS is a first step for promoting open science for small animal imaging and a contribution to the valorization of data and pipelines of reference.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Clinical_trials Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Clinical_trials Idioma: En Ano de publicação: 2020 Tipo de documento: Article