PuSH - Publikationsserver des Helmholtz Zentrums München

Skak Madsen, K.* ; Ruschke, T.* ; Eichhorn, H. ; Rising, P.* ; Ganz, M.*

Brain MRI dataset featuring a full clinical protocol with and without intentional motion.

Sci. Data, DOI: 10.1038/s41597-026-07144-z (2026)
Postprint Forschungsdaten DOI PMC
Open Access Gold möglich sobald Verlagsversion bei der ZB eingereicht worden ist.
Motion-induced artefacts in MRI are a common occurrence but can obscure pathologies or be falsely identified as pathological. Reacquiring motion-corrupted scans is expensive, and thus retrospective and prospective motion correction methods have been introduced. Although motion correction shows promise, there is a lack of exhaustive testing on its efficacy with respect to full clinical cerebral MRI protocols. Here we present a dataset (n = 22) to facilitate future research, which includes data with and without intentional motion, and with and without prospective motion correction, across six MRI sequences included in a full clinical cerebral MRI protocol. Motion was captured by an external tracking device, and the dataset includes the motion data as derived motion transforms. For standardization, all image data are fully BIDS-compliant. Raw k-space data are available as well. As the dataset pairs motion-free data with motion-corrupted data, it can be used to develop or test different motion-correction or k-space reconstruction methods.
Altmetric
Weitere Metriken?
[➜Einloggen]
Zusatzinfos bearbeiten [➜Einloggen]
Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
ISSN (print) / ISBN 2052-4463
e-ISSN 2052-4463
Zeitschrift Scientific Data
Verlag Springer
Verlagsort London
Begutachtungsstatus Peer reviewed
Institut(e) Institute for Machine Learning in Biomed Imaging (IML)