Correction for Eddy Current-Induced Echo-Shifting Effect in Partial-Fourier Diffusion Tensor Imaging.
Abstract
In most diffusion tensor imaging (DTI) studies, images are acquired with either a
partial-Fourier or a parallel partial-Fourier echo-planar imaging (EPI) sequence,
in order to shorten the echo time and increase the signal-to-noise ratio (SNR). However,
eddy currents induced by the diffusion-sensitizing gradients can often lead to a shift
of the echo in k-space, resulting in three distinct types of artifacts in partial-Fourier
DTI. Here, we present an improved DTI acquisition and reconstruction scheme, capable
of generating high-quality and high-SNR DTI data without eddy current-induced artifacts.
This new scheme consists of three components, respectively, addressing the three distinct
types of artifacts. First, a k-space energy-anchored DTI sequence is designed to recover
eddy current-induced signal loss (i.e., Type 1 artifact). Second, a multischeme partial-Fourier
reconstruction is used to eliminate artificial signal elevation (i.e., Type 2 artifact)
associated with the conventional partial-Fourier reconstruction. Third, a signal intensity
correction is applied to remove artificial signal modulations due to eddy current-induced
erroneous T2(∗) -weighting (i.e., Type 3 artifact). These systematic improvements
will greatly increase the consistency and accuracy of DTI measurements, expanding
the utility of DTI in translational applications where quantitative robustness is
much needed.
Type
Journal articleSubject
ArtifactsBrain
Diffusion Tensor Imaging
Fourier Analysis
Humans
Image Processing, Computer-Assisted
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https://hdl.handle.net/10161/11994Published Version (Please cite this version)
10.1155/2015/185026Publication Info
Truong, Trong-Kha; Song, Allen W; & Chen, Nan-Kuei (2015). Correction for Eddy Current-Induced Echo-Shifting Effect in Partial-Fourier Diffusion
Tensor Imaging. Biomed Res Int, 2015. pp. 185026. 10.1155/2015/185026. Retrieved from https://hdl.handle.net/10161/11994.This is constructed from limited available data and may be imprecise. To cite this
article, please review & use the official citation provided by the journal.
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Show full item recordScholars@Duke
Nan-kuei Chen
Adjunct Associate Professor in the Department of Radiology
Dr. Chen is a magnetic resonance imaging (MRI) physicist with research interest in
fast image acquisition methodology, pulse sequence design, MRI artifact correction,
and application of MRI to studies of neurological diseases. He has been developing
novel high-resolution imaging protocols and analysis procedures for mapping structural
and functional connectivity of brains. More generally, Dr. Chen's research involves
the application of MRI in translational contexts. He has been serving as the pr
Allen W Song
Professor in Radiology
The research in our lab is concerned with advancing structural and functional MRI
methodologies (e.g. fast and high-resolution imaging techniques) for human brain imaging.
We also aim to improve our understanding of functional brain signals, including spatiotemporal
characterizations of the blood oxygenation level dependent contrast and alternative
contrast mechanisms that are more directly linked to the neuronal activities. Additional
effort is invested in applying and validating the de
Trong-Kha Truong
Associate Professor in Radiology
My research involves the development of novel magnetic resonance imaging (MRI) coil
technologies; image acquisition, reconstruction, and artifact correction methods;
and contrast mechanisms for various MRI applications in the human brain and body such
as functional and diffusion MRI.
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