Correction for Eddy Current-Induced Echo-Shifting Effect in Partial-Fourier Diffusion Tensor Imaging.
dc.contributor.author | Truong, Trong-Kha | |
dc.contributor.author | Song, Allen W | |
dc.contributor.author | Chen, Nan-Kuei | |
dc.coverage.spatial | United States | |
dc.date.accessioned | 2016-05-10T16:13:01Z | |
dc.date.issued | 2015 | |
dc.description.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. | |
dc.identifier | ||
dc.identifier.eissn | 2314-6141 | |
dc.identifier.uri | ||
dc.language | eng | |
dc.publisher | Hindawi Limited | |
dc.relation.ispartof | Biomed Res Int | |
dc.relation.isversionof | 10.1155/2015/185026 | |
dc.subject | Artifacts | |
dc.subject | Brain | |
dc.subject | Diffusion Tensor Imaging | |
dc.subject | Fourier Analysis | |
dc.subject | Humans | |
dc.subject | Image Processing, Computer-Assisted | |
dc.title | Correction for Eddy Current-Induced Echo-Shifting Effect in Partial-Fourier Diffusion Tensor Imaging. | |
dc.type | Journal article | |
duke.contributor.orcid | Truong, Trong-Kha|0000-0003-2699-1554 | |
pubs.author-url | ||
pubs.begin-page | 185026 | |
pubs.organisational-group | Basic Science Departments | |
pubs.organisational-group | Biomedical Engineering | |
pubs.organisational-group | Clinical Science Departments | |
pubs.organisational-group | Duke | |
pubs.organisational-group | Duke Cancer Institute | |
pubs.organisational-group | Duke Institute for Brain Sciences | |
pubs.organisational-group | Duke-UNC Center for Brain Imaging and Analysis | |
pubs.organisational-group | Institutes and Centers | |
pubs.organisational-group | Institutes and Provost's Academic Units | |
pubs.organisational-group | Neurobiology | |
pubs.organisational-group | Pratt School of Engineering | |
pubs.organisational-group | Psychiatry & Behavioral Sciences | |
pubs.organisational-group | Radiology | |
pubs.organisational-group | School of Medicine | |
pubs.organisational-group | University Institutes and Centers | |
pubs.publication-status | Published | |
pubs.volume | 2015 |
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