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ExploreQC: A toolbox for MRI quality control in the EPAD multicentre study

Authors :
Lorenzini, L.
Ingala, S.
Wottschel, V.
Wink, A. M.
Kuijer, J.
Sudre, C. H.
Haller, S.
Molinuevo, J. L.
Gispert, J. D.
Cash, D. M.
Thomas, D. L.
Vos, S.
(0000-0002-3201-6002) Petr, J.
Wolz, R.
Pernet, C.
Waldman, A.
Barkhof, F.
Mutsaerts, H. J. M. M.
Epad, C.
Lorenzini, L.
Ingala, S.
Wottschel, V.
Wink, A. M.
Kuijer, J.
Sudre, C. H.
Haller, S.
Molinuevo, J. L.
Gispert, J. D.
Cash, D. M.
Thomas, D. L.
Vos, S.
(0000-0002-3201-6002) Petr, J.
Wolz, R.
Pernet, C.
Waldman, A.
Barkhof, F.
Mutsaerts, H. J. M. M.
Epad, C.
Source :
Alzheimer's & Dementia 16(2020), e041952
Publication Year :
2020

Abstract

Magnetic Resonance Imaging (MRI) of the brain is prone to artefacts that may worsen image quality and subsequent analyses. Despite the growing number of large-scale multi-institutional imaging studies, standardized approaches for defining inclusion and exclusion criteria on the basis of image data quality are still lacking and quality assessment is often based on visual inspection. We introduce ExploreQC, a MATLAB-based toolbox which implements a semi-automatic pipeline to assess QC metrics, select the most relevant parameters, and to derive informed inclusion thresholds.

Details

Database :
OAIster
Journal :
Alzheimer's & Dementia 16(2020), e041952
Notes :
application/pdf, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1415580859
Document Type :
Electronic Resource