Neuroharmony: a new tool for harmonizing volumetric MRI data from unseen scanners

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URI: https://hdl.handle.net/10902/32066
ISSN: 1053-8119
ISSN: 1095-9572
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Autoría
Garcia-Dias, Rafael; Scarpazza, Cristina; Baecker, Lea; Vieira, Sandra; Pinaya, Walter H. L.; Corvin, Aiden; Redolfi, Alberto; Nelson, Barnaby; Crespo Facorro, BenedictoAutoridad Unican; McDonald, Colm; Tordesillas Gutiérrez, DianaAutoridad Unican; Cannon, Dara; Mothersill, David; Hernaus, Dennis; Morris, Derek; Setién Suero, María Esther; Donohoe, Gary; Frisoni, Giovanni; Ayesa Arriola, RosaAutoridad Unican; [et al.]
Fecha
2020
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Attribution 4.0 International. © 2020 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license.
Publicado en
NeuroImage, 2020, 220, 117127
Editorial
Elsevier
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Resumen/Abstract
We present Neuroharmony, a harmonization tool for images from unseen scanners. We developed Neuroharmony using a total of 15,026 sMRI images. The tool was able to reduce scanner-related bias from unseen scans. Neuroharmony represents a significant step towards imaging-based clinical tools.
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Attribution 4.0 International. © 2020 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license.Excepto si se señala otra cosa, la licencia del ítem se describe como Attribution 4.0 International. © 2020 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license.