MAPPING MAnagement and Processing of images for Population ImagiNG (Record no. 73738)

MARC details
000 -LEADER
fixed length control field 05196naaaa2200361uu 4500
001 - CONTROL NUMBER
control field https://directory.doabooks.org/handle/20.500.12854/52720
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220220073802.0
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 978-2-88945-260-6
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9782889452606
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.3389/978-2-88945-260-6
Terms of availability doi
041 0# - LANGUAGE CODE
Language code of text/sound track or separate title English
042 ## - AUTHENTICATION CODE
Authentication code dc
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Wiro Niessen
Relationship auth
245 10 - TITLE STATEMENT
Title MAPPING MAnagement and Processing of images for Population ImagiNG
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Name of publisher, distributor, etc. Frontiers Media SA
Date of publication, distribution, etc. 2017
300 ## - PHYSICAL DESCRIPTION
Extent 1 electronic resource (139 p.)
506 0# - RESTRICTIONS ON ACCESS NOTE
Terms governing access Open Access
Source of term star
Standardized terminology for access restriction Unrestricted online access
520 ## - SUMMARY, ETC.
Summary, etc. Several recent papers underline methodological points that limit the validity of published results in imaging studies in the life sciences and especially the neurosciences (Carp, 2012; Ingre, 2012; Button et al., 2013; Ioannidis, 2014). At least three main points are identified that lead to biased conclusions in research findings: endemic low statistical power and, selective outcome and selective analysis reporting. Because of this, and in view of the lack of replication studies, false discoveries or solutions persist. To overcome the poor reliability of research findings, several actions should be promoted including conducting large cohort studies, data sharing and data reanalysis. The construction of large-scale online databases should be facilitated, as they may contribute to the definition of a “collective mind” (Fox et al., 2014) facilitating open collaborative work or “crowd science” (Franzoni and Sauermann, 2014). Although technology alone cannot change scientists’ practices (Wicherts et al., 2011; Wallis et al., 2013, Poldrack and Gorgolewski 2014; Roche et al. 2014), technical solutions should be identified which support a more “open science” approach. Also, the analysis of the data plays an important role. For the analysis of large datasets, image processing pipelines should be constructed based on the best algorithms available and their performance should be objectively compared to diffuse the more relevant solutions. Also, provenance of processed data should be ensured (MacKenzie-Graham et al., 2008). In population imaging this would mean providing effective tools for data sharing and analysis without increasing the burden on researchers. This subject is the main objective of this research topic (RT), cross-listed between the specialty section “Computer Image Analysis” of Frontiers in ICT and Frontiers in Neuroinformatics. Firstly, it gathers works on innovative solutions for the management of large imaging datasets possibly distributed in various centers. The paper of Danso et al. describes their experience with the integration of neuroimaging data coming from several stroke imaging research projects. They detail how the initial NeuroGrid core metadata schema was gradually extended for capturing all information required for future metaanalysis while ensuring semantic interoperability for future integration with other biomedical ontologies. With a similar preoccupation of interoperability, Shanoir relies on the OntoNeuroLog ontology (Temal et al., 2008; Gibaud et al., 2011; Batrancourt et al., 2015), a semantic model that formally described entities and relations in medical imaging, neuropsychological and behavioral assessment domains. The mechanism of “Study Card” allows to seamlessly populate metadata aligned with the ontology, avoiding fastidious manual entrance and the automatic control of the conformity of imported data with a predefined study protocol. The ambitious objective with the BIOMIST platform is to provide an environment managing the entire cycle of neuroimaging data from acquisition to analysis ensuring full provenance information of any derived data. Interestingly, it is conceived based on the product lifecycle management approach used in industry for managing products (here neuroimaging data) from inception to manufacturing. Shanoir and BIOMIST share in part the same OntoNeuroLog ontology facilitating their interoperability. ArchiMed is a data management system locally integrated for 5 years in a clinical environment. Not restricted to Neuroimaging, ArchiMed deals with multi-modal and multi-organs imaging data with specific considerations for data long-term conservation and confidentiality in accordance with the French legislation. Shanoir and ArchiMed are integrated into FLI-IAM1, the national French IT infrastructure for in vivo imaging.
540 ## - TERMS GOVERNING USE AND REPRODUCTION NOTE
Terms governing use and reproduction Creative Commons
Use and reproduction rights https://creativecommons.org/licenses/by/4.0/
Source of term cc
-- https://creativecommons.org/licenses/by/4.0/
546 ## - LANGUAGE NOTE
Language note English
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term Neuroimaging
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Uncontrolled term Brain
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term MRI
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Uncontrolled term Database
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Uncontrolled term Infrastructure
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Uncontrolled term Workflow
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Uncontrolled term Data
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Uncontrolled term Image Analysis
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name David N. Kennedy
Relationship auth
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Michel Dojat
Relationship auth
856 40 - ELECTRONIC LOCATION AND ACCESS
Host name www.oapen.org
Uniform Resource Identifier <a href="http://journal.frontiersin.org/researchtopic/4702/mapping-management-and-processing-of-images-for-population-imaging">http://journal.frontiersin.org/researchtopic/4702/mapping-management-and-processing-of-images-for-population-imaging</a>
Access status 0
Public note DOAB: download the publication
856 40 - ELECTRONIC LOCATION AND ACCESS
Host name www.oapen.org
Uniform Resource Identifier <a href="https://directory.doabooks.org/handle/20.500.12854/52720">https://directory.doabooks.org/handle/20.500.12854/52720</a>
Access status 0
Public note DOAB: description of the publication

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