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Verfasst von:Glodeck, Daniel [VerfasserIn]   i
 Hesser, Jürgen [VerfasserIn]   i
 Zheng, Lei [VerfasserIn]   i
Titel:Distortion correction of EPI data using multimodal nonrigid registration with an anisotropic regularization
Verf.angabe:Daniel Glodeck, Jürgen Hesser, Lei Zheng
E-Jahr:2016
Jahr:February 2016
Umfang:10 S.
Fussnoten:Gesehen am 28.01.2019
Titel Quelle:Enthalten in: Magnetic resonance imaging
Ort Quelle:Amsterdam [u.a.] : Elsevier Science, 1982
Jahr Quelle:2016
Band/Heft Quelle:34(2016), 2, Seite 127-136
ISSN Quelle:1873-5894
Abstract:In this paper, a novel strategy for correcting both geometric and image intensity distortions of echo-planar imaging (EPI) MRI data is presented. To deal with small local distortions caused by rapid changes of the magnetic field, an improved multimodal registration framework using normalized mutual information (NMI) in combination with a multi-scale technique is presented to estimate a dense displacement field. To ensure the robustness of this high dimensional ill-posed inverse problem, a novel anisotropic regularization functional is used. In order to quantify geometric distortions, a new quality measure, called standardized contour distance (SCD), is introduced. It uses the outer structure shape (OSS) information as basis for the evaluation. The new registration method was evaluated with one monomodal phantom data set and two multimodal human brain data sets (BrainSuite trainings data, SPM Subject data). By comparing with recent and efficient techniques of the state of the art, in the monomodal case, the new approach achieves results comparable to the sum of squared differences as data term. In the multimodal cases, our new registration strategy improves the mean of the SCD from 0.96±0.11 to 0.60±0.13 in case of the SPM Subject data and from 0.92±0.07 to 0.78±0.11 in case of the BrainSuite trainings data.
DOI:doi:10.1016/j.mri.2015.10.032
URL:Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.

Volltext: http://dx.doi.org/10.1016/j.mri.2015.10.032
 Volltext: http://www.sciencedirect.com/science/article/pii/S0730725X15002696
 DOI: https://doi.org/10.1016/j.mri.2015.10.032
Datenträger:Online-Ressource
Sprache:eng
Sach-SW:Diffusion magnetic resonance imaging
 Distortion correction
 Echo planar imaging
 Image pyramid
 Image registration
 Normalized mutual information
K10plus-PPN:1586643053
Verknüpfungen:→ Zeitschrift

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