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Magnetic Resonance in Medicine
Article . 2006 . Peer-reviewed
License: Wiley Online Library User Agreement
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Augmented generalized SENSE reconstruction to correct for rigid body motion

Authors: Roland, Bammer; Murat, Aksoy; Chunlei, Liu;

Augmented generalized SENSE reconstruction to correct for rigid body motion

Abstract

AbstractThe correction of motion artifacts continues to be a significant problem in MRI. In the case of uncooperative patients, such as children, or patients who are unable to remain stationary, the accurate determination and correction of motion artifacts becomes a very important prerequisite for achieving good image quality. The application of conventional motion‐correction strategies often produces inconsistencies in k‐space data. As a result, significant residual artifacts can persist. In this work a formalism is introduced for parallel imaging in the presence of motion. The proposed method can improve overall image quality because it diminishes k‐space inconsistencies by exploiting the complementary image encoding capacity of individual receiver coils. Specifically, an augmented version of an iterative SENSE reconstruction is used as a means of synthesizing the missing data in k‐space. Motion is determined from low‐resolution navigator images that are coregistered by an automatic registration routine. Navigator data can be derived from self‐navigating k‐space trajectories or in combination with other navigation schemes that estimate patient motion. This correction method is demonstrated by interleaved spiral images collected from volunteers. Conventional spiral scans and scans corrected with proposed techniques are shown, and the results illustrate the capacity of this new correction approach. Magn Reson Med 57:90–102, 2007. © 2006 Wiley‐Liss, Inc.

Related Organizations
Keywords

Motion, Image Processing, Computer-Assisted, Humans, Computer Simulation, Signal Processing, Computer-Assisted, Artifacts, Magnetic Resonance Imaging, Sensitivity and Specificity, Algorithms

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    popularity
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    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
90
Top 10%
Top 10%
Top 10%
bronze