Ek Tan

Dr. Ek Tan

Radiology and Imaging, Hospital for Special Surgery, New York, USA
orcid

Research Focus & Metrics

Academic Career Length

22Years (2005-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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25 November 2019 in Magnetic Resonance in Medicine
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Journal Article
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TFThomas K. F. Foo
Thomas K. F. Foo
ETEk Tan
Ek Tan
MVMark E. Vermilyea
Mark E. Vermilyea
YHYihe Hua
Yihe Hua
EFEric W. Fiveland
Eric W. Fiveland
VHVincent B. Ho
Vincent B. Ho

16 August 2011 in Magnetic Resonance in Medicine
Verified
Journal Article
Open access
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MMMarion I. Menzel
Marion I. Menzel
ETEk Tan
Ek Tan
KKKedar Khare
Kedar Khare
JSJonathan I. Sperl
Jonathan I. Sperl
KKKevin F. King
Kevin F. King
LMLuca Marinelli
Luca Marinelli
We developed a novel method to accelerate diffusion spectrum imaging using compressed sensing. The method can be applied to either reduce acquisition time of diffusion spectrum imaging acquisition without losing critical information or to improve the resolution in diffusion space without increasing scan time. Unlike parallel imaging, compressed sensing can be applied to reconstruct a sub‐Nyquist sampled dataset in domains other than the spatial one. Simulations of fiber crossings in 2D and 3D were performed to systematically evaluate the effect of compressed sensing reconstruction with different types of undersampling patterns (random, gaussian, Poisson disk) and different acceleration factors on radial and axial diffusion information. Experiments in brains of healthy volunteers were performed, where diffusion space was undersampled with different sampling patterns and reconstructed using compressed sensing. Essential information on diffusion properties, such as orientation distribution function, diffusion coefficient, and kurtosis is preserved up to an acceleration factor of R = 4. Magn Reson Med, 2011.

30 October 2017 in Journal of Magnetic Resonance Imaging
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Journal Article
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TJTina Jeon
Tina Jeon
MFMaggie M. Fung
Maggie M. Fung
KKKevin M. Koch
Kevin M. Koch
ETEk Tan
Ek Tan
DSDarryl B. Sneag
Darryl B. Sneag

13 March 2018 in Magnetic Resonance in Medicine
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Journal Article
Closed access
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TFThomas K. F. Foo
Thomas K. F. Foo
ELEvangelos Laskaris
Evangelos Laskaris
MVMark Vermilyea
Mark Vermilyea
MXMinfeng Xu
Minfeng Xu
PTPaul Thompson
Paul Thompson
MBMatt A. Bernstein
Matt A. Bernstein

21 November 2012 in Journal of Magnetic Resonance Imaging
Verified
Journal Article
Open access
PDF file
ETEk Tan
Ek Tan
LMLuca Marinelli
Luca Marinelli
ZSZachary W. Slavens
Zachary W. Slavens
KKKevin F. King
Kevin F. King
CHChristopher J. Hardy
Christopher J. Hardy
Purpose: To provide an improved correction for gradient nonlinearity (GN) effects in diffusion‐weighted imaging (DWI). These effects produce spatially varying apparent diffusion coefficient (ADC), a result that will be significant in large field‐of‐view imaging, and may be confounded by distortion and concomitant fields related to the DWI acquisition.Materials and Methods: The effect of more accurate gradient field maps on GN correction (GNC) of ADC was evaluated. A simulation compared GN effects in commonly imaged anatomy. A temperature‐controlled phantom was imaged at positions 0 cm and 11 cm from isocenter and in two whole‐body MRI systems at 1.5T with different patient bore diameters (55 cm and 60 cm). Varying correction methods were applied to determine the errors from spatial variance and interscanner reproducibility.Results: As compared to conventional fifth‐order spherical harmonics, a seventh‐order GNC improved ADC accuracy by 1%. The combination of GNC with a dual‐spin‐echo pulse sequence and a retrospective concomitant field correction reduced ADC error due to spatial variance from 9.5% to 1.8% (55 cm bore) and from 4.2% to 1.8% (60 cm bore). The error in ADC attributed to interscanner reproducibility was reduced from 5.8% to 0.15% (at isocenter) and from 10% to 0.63% (11 cm from isocenter).Conclusion: GNC in DWI improved spatial accuracy and interscanner reproducibility of ADC. J. Magn. Reson. Imaging 2013;38:448–453.

24 March 2022 in European Radiology
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Journal Article
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SSSimon Sun
Simon Sun
ETEk Tan
Ek Tan
DMDouglas N. Mintz
Douglas N. Mintz
MSMeghan Sahr
Meghan Sahr
YEYoshimi Endo
Yoshimi Endo
DSDarryl B. Sneag
Darryl B. Sneag