Correction for Eddy Current-Induced Echo-Shifting Effect in Partial-Fourier Diffusion Tensor Imaging.
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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.
Diffusion Tensor Imaging
Image Processing, Computer-Assisted
Published Version (Please cite this version)10.1155/2015/185026
Publication InfoTruong, 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.
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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
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
Associate Professor in Radiology
My research involves the development of innovative magnetic resonance imaging (MRI) coil technologies, image acquisition and reconstruction methods, artifact correction methods, and contrast mechanisms for various MRI applications in the human brain and body, such as diffusion-weighted imaging and functional MRI.
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