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Iterative off-resonance and signal decay estimation and correction for multi-echo MRI

Standard

Iterative off-resonance and signal decay estimation and correction for multi-echo MRI. / Knopp, Tobias; Eggers, Holger; Dahnke, Hannes; Prestin, Jürgen; Sénégas, Julien.

in: IEEE T MED IMAGING, Jahrgang 28, Nr. 3, 03.2009, S. 394-404.

Publikationen: SCORING: Beitrag in Fachzeitschrift/Zeitung › SCORING: Zeitschriftenaufsatz › Forschung › Begutachtung

Harvard

Knopp, T, Eggers, H, Dahnke, H, Prestin, J & Sénégas, J 2009, 'Iterative off-resonance and signal decay estimation and correction for multi-echo MRI', IEEE T MED IMAGING, Jg. 28, Nr. 3, S. 394-404. https://doi.org/10.1109/TMI.2008.2006526

APA

Knopp, T., Eggers, H., Dahnke, H., Prestin, J., & Sénégas, J. (2009). Iterative off-resonance and signal decay estimation and correction for multi-echo MRI. IEEE T MED IMAGING, 28(3), 394-404. https://doi.org/10.1109/TMI.2008.2006526

Vancouver

Knopp T, Eggers H, Dahnke H, Prestin J, Sénégas J. Iterative off-resonance and signal decay estimation and correction for multi-echo MRI. IEEE T MED IMAGING. 2009 Mär;28(3):394-404. https://doi.org/10.1109/TMI.2008.2006526

Bibtex

@article{0c4823d6666c45e9befab59360c7680f,
title = "Iterative off-resonance and signal decay estimation and correction for multi-echo MRI",
abstract = "Signal dephasing due to field inhomogeneity and signal decay due to transverse relaxation lead to perturbations of the Fourier encoding commonly applied in magnetic resonance imaging. Hence, images acquired with long readouts suffer from artifacts such as blurring, distortion, and intensity variation. These artifacts can be removed in reconstruction, usually based on separately collected information in form of field and relaxation maps. In this work, a recently proposed gridding-based algorithm for off-resonance correction is extended to also address signal decay. It is integrated into a new fixed-point iteration, which permits the joint estimation of an image and field and relaxation maps from multi-echo acquisitions. This approach is then applied in simulations and in vivo experiments and demonstrated to improve both images and maps. The rapid convergence of the fixed-point iteration in combination with the efficient gridding-based correction promises to render the running time of such a joint estimation acceptable.",
keywords = "Algorithms, Artifacts, Brain, Computer Simulation, Humans, Image Processing, Computer-Assisted, Least-Squares Analysis, Magnetic Resonance Imaging, Phantoms, Imaging, Journal Article",
author = "Tobias Knopp and Holger Eggers and Hannes Dahnke and J{\"u}rgen Prestin and Julien S{\'e}n{\'e}gas",
year = "2009",
month = mar,
doi = "10.1109/TMI.2008.2006526",
language = "English",
volume = "28",
pages = "394--404",
journal = "IEEE T MED IMAGING",
issn = "0278-0062",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "3",

}

RIS

TY - JOUR

T1 - Iterative off-resonance and signal decay estimation and correction for multi-echo MRI

AU - Knopp, Tobias

AU - Eggers, Holger

AU - Dahnke, Hannes

AU - Prestin, Jürgen

AU - Sénégas, Julien

PY - 2009/3

Y1 - 2009/3

N2 - Signal dephasing due to field inhomogeneity and signal decay due to transverse relaxation lead to perturbations of the Fourier encoding commonly applied in magnetic resonance imaging. Hence, images acquired with long readouts suffer from artifacts such as blurring, distortion, and intensity variation. These artifacts can be removed in reconstruction, usually based on separately collected information in form of field and relaxation maps. In this work, a recently proposed gridding-based algorithm for off-resonance correction is extended to also address signal decay. It is integrated into a new fixed-point iteration, which permits the joint estimation of an image and field and relaxation maps from multi-echo acquisitions. This approach is then applied in simulations and in vivo experiments and demonstrated to improve both images and maps. The rapid convergence of the fixed-point iteration in combination with the efficient gridding-based correction promises to render the running time of such a joint estimation acceptable.

AB - Signal dephasing due to field inhomogeneity and signal decay due to transverse relaxation lead to perturbations of the Fourier encoding commonly applied in magnetic resonance imaging. Hence, images acquired with long readouts suffer from artifacts such as blurring, distortion, and intensity variation. These artifacts can be removed in reconstruction, usually based on separately collected information in form of field and relaxation maps. In this work, a recently proposed gridding-based algorithm for off-resonance correction is extended to also address signal decay. It is integrated into a new fixed-point iteration, which permits the joint estimation of an image and field and relaxation maps from multi-echo acquisitions. This approach is then applied in simulations and in vivo experiments and demonstrated to improve both images and maps. The rapid convergence of the fixed-point iteration in combination with the efficient gridding-based correction promises to render the running time of such a joint estimation acceptable.

KW - Algorithms

KW - Artifacts

KW - Brain

KW - Computer Simulation

KW - Humans

KW - Image Processing, Computer-Assisted

KW - Least-Squares Analysis

KW - Magnetic Resonance Imaging

KW - Phantoms, Imaging

KW - Journal Article

U2 - 10.1109/TMI.2008.2006526

DO - 10.1109/TMI.2008.2006526

M3 - SCORING: Journal article

C2 - 19244011

VL - 28

SP - 394

EP - 404

JO - IEEE T MED IMAGING

JF - IEEE T MED IMAGING

SN - 0278-0062

IS - 3

ER -