Publication:
Spatiotemporal alignment of in utero BOLD-MRI series

dc.affiliation.dptoUC3M. Departamento de Bioingenieríaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Biomedical Imaging and Instrumentation Groupes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: BSEL - Laboratorio de Ciencia e Ingeniería Biomédicaes
dc.contributor.authorTurk, Esra Abaci
dc.contributor.authorLuo, Jie
dc.contributor.authorGagoski, Borjan
dc.contributor.authorPascau González-Garzón, Javier
dc.contributor.authorBibbo, Carolina
dc.contributor.authorRobinson, Julian N.
dc.contributor.authorGrant, P. Ellen
dc.contributor.authorAdalsteinsson, Elfar
dc.contributor.authorGolland, Polina
dc.contributor.authorMalpica, Norberto
dc.date.accessioned2021-06-21T07:56:41Z
dc.date.available2021-06-21T07:56:41Z
dc.date.issued2017-08
dc.description.abstractPurpose: To present a method for spatiotemporal alignment of in-utero magnetic resonance imaging (MRI) time series acquired during maternal hyperoxia for enabling improved quantitative tracking of blood oxygen level-dependent (BOLD) signal changes that characterize oxygen transport through the placenta to fetal organs. Materials and Methods: The proposed pipeline for spatiotemporal alignment of images acquired with a single-shot gradient echo echo-planar imaging includes 1) signal nonuniformity correction, 2) intravolume motion correction based on nonrigid registration, 3) correction of motion and nonrigid deformations across volumes, and 4) detection of the outlier volumes to be discarded from subsequent analysis. BOLD MRI time series collected from 10 pregnant women during 3T scans were analyzed using this pipeline. To assess pipeline performance, signal fluctuations between consecutive timepoints were examined. In addition, volume overlap and distance between manual region of interest (ROI) delineations in a subset of frames and the delineations obtained through propagation of the ROIs from the reference frame were used to quantify alignment accuracy. A previously demonstrated rigid registration approach was used for comparison. Results: The proposed pipeline improved anatomical alignment of placenta and fetal organs over the state-of-the-art rigid motion correction methods. In particular, unexpected temporal signal fluctuations during the first normoxia period were significantly decreased (P < 0.01) and volume overlap and distance between region boundaries measures were significantly improved (P < 0.01). Conclusion: The proposed approach to align MRI time series enables more accurate quantitative studies of placental function by improving spatiotemporal alignment across placenta and fetal organs.en
dc.description.sponsorshipNational Institutes of Health (NIH) . Grant Numbers: U01 HD087211 , R01 EB017337 Consejeria de Educacion, Juventud y Deporte de la Comunidad de Madrid (Spain) through the Madrid-MIT M+Vision Consortium.en
dc.format.extent10
dc.identifier.bibliographicCitationTurk, E. A., Luo, J., Gagoski, B., Pascau, J., Bibbo, C., Robinson, J. N., Grant, P. E., Adalsteinsson, E., Golland, P. & Malpica, N. (2017). Spatiotemporal alignment of in utero BOLD-MRI series. Journal of Magnetic Resonance Imaging, 46(2), pp. 403–412.en
dc.identifier.doihttps://doi.org/10.1002/jmri.25585
dc.identifier.issn1053-1807
dc.identifier.publicationfirstpage403
dc.identifier.publicationissue2
dc.identifier.publicationlastpage412
dc.identifier.publicationtitleJournal of Magnetic Resonance Imagingen
dc.identifier.publicationvolume46
dc.identifier.urihttps://hdl.handle.net/10016/32896
dc.identifier.uxxiAR/0000020338
dc.language.isoengen
dc.publisherWileyen
dc.rights© 2017 International Society for Magnetic Resonance in Medicineen
dc.rights.accessRightsopen accessen
dc.subject.ecienciaBiología y Biomedicinaes
dc.subject.otherMotion correctionen
dc.subject.otherSignal nonuniformityen
dc.subject.otherBOLD-MRIen
dc.subject.otherPlacental MRIen
dc.subject.otherFetal MRIen
dc.subject.otherHyperoxygenationen
dc.titleSpatiotemporal alignment of in utero BOLD-MRI seriesen
dc.typeresearch article*
dc.type.hasVersionAM*
dspace.entity.typePublication
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