Huiming Dong

Dr. Huiming Dong


Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

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

Representative Publications

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30 December 2019 in NMR in Biomedicine
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Journal Article
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DGDeep Gandhi
Deep Gandhi
PKPrateek Kalra
Prateek Kalra
BRBrian Raterman
Brian Raterman
XMXiaokui Mo
Xiaokui Mo
HDHuiming Dong
Huiming Dong
AKArunark Kolipaka
Arunark Kolipaka

1 September 2022 in Radiology
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Journal Article
Closed access
HDHuiming Dong
Huiming Dong
BRBrian Raterman
Brian Raterman
RWRichard D. White
Richard D. White
JSJean Starr
Jean Starr
PVPatrick Vaccaro
Patrick Vaccaro
AKArunark Kolipaka
Arunark Kolipaka
Abdominal aortic aneurysm stiffness and stiffness ratio at MR elastography were lower in participants with later aneurysm rupture, repair, or expansion versus participants without such events. Background Abdominal aortic aneurysm (AAA) diameter remains the standard clinical parameter to predict growth and rupture. Studies suggest that using solely AAA diameter for risk stratification is ...

14 May 2019 in NMR in Biomedicine
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Journal Article
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FFFakhouri Saud Fakhouri
Fakhouri Saud Fakhouri
HDHuiming Dong
Huiming Dong
AKArunark Kolipaka
Arunark Kolipaka

6 October 2020 in NMR in Biomedicine
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Journal Article
Closed access
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HDHuiming Dong
Huiming Dong
NJNing Jin
Ning Jin
SKStephan Kannengiesser
Stephan Kannengiesser
BRBrian Raterman
Brian Raterman
RWRichard D. White
Richard D. White
AKArunark Kolipaka
Arunark Kolipaka

15 March 2022 in Journal of Magnetic Resonance Imaging
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Journal Article
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MCMegan Co
Megan Co
HDHuiming Dong
Huiming Dong
DBDaniel J. Boulter
Daniel J. Boulter
XNXuan V. Nguyen
Xuan V. Nguyen
SKSafdar N. Khan
Safdar N. Khan
BWBenjamin A. Walter
Benjamin A. Walter

2 August 2021 in Physics in Medicine & Biology
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Journal Article
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HDHuiming Dong
Huiming Dong
RARizwan Ahmad
Rizwan Ahmad
RMRenee Miller
Renee Miller
AKArunark Kolipaka
Arunark Kolipaka
Direct inversion (DI) derives tissue shear modulus by inverting the Helmholtz equation. However, conventional DI is sensitive to data quality due to the ill-posed nature of Helmholtz inversion and thus providing reliable stiffness estimation can be challenging. This becomes more problematic in the case of estimating shear stiffness of the lung in which the low tissue density and short T2* result in considerably low signal-to-noise ratio during lung MRE. In the present study, we propose to perform MRE inversion by compressive recovery (MICRo). Such a technique aims to improve the numerical stability and the robustness to data noise of Helmholtz inversion by using prior knowledge on data noise and transform sparsity of the stiffness map. The developed inversion strategy was first validated in simulated phantoms with known stiffness. Next, MICRo was compared to the standard clinical multi-modal DI (MMDI) method for in vivo liver MRE in healthy subjects and patients with different stages of liver fibrosis. After establishing the accuracy of MICRo, we demonstrated the robustness of the proposed technique against data noise in lung MRE with healthy subjects. In simulated phantoms with single-directional or multi-directional waves, MICRo outperformed DI with Romano filter or Savitsky and Golay filter, especially when the stiffness and/or noise level was high. In hepatic MRE application, agreement was observed between MICRo and MMDI. Measuring in vivo lung stiffness, MICRo demonstrated its advantages over filtered DI by yielding stable stiffness estimation at both residual volume and total lung capacity. These preliminary results demonstrate the potential value of the proposed technique and also warrant further investigation in a larger clinical population.