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Nova · Professor Researcher · re-ranking top 20…
Thi Tran Chau Truong

Thi Tran Chau Truong

Verified

Ohio State University · Physics

Active 2001–2024

h-index21
Citations1.4k
Papers6524 last 5y
Funding$2.1M
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Research topics

  • Computer Science
  • Telecommunications
  • Engineering
  • Artificial Intelligence
  • Physics
  • Optics
  • Acoustics
  • Electrical engineering
  • Systems engineering
  • Electronic engineering
  • Nuclear magnetic resonance
  • Materials science

Selected publications

  • An <scp>iPRES‐W</scp> Coil Array for Simultaneous Imaging and Wireless Localized <scp><i>B</i><sub>0</sub></scp> Shimming of the Cervical Spinal Cord

    Magnetic Resonance in Medicine · 2022 · 6 citations

    • Computer Science
    • Physics
    • Materials science

    PURPOSE: shimming, and to demonstrate its ability to correct for distortions in DTI of the spinal cord in vivo. METHODS: shimming, and wireless performance of this coil design. RESULTS: RMSE (-57.5% on average) and DTI distortions in the spinal cord. The antenna radiation efficiency, antenna gain pattern, and battery power consumption of an iPRES-W coil measured in an anechoic chamber were minimally impacted by the introduction of a saline phantom representing tissue. CONCLUSION: shimming of the spinal cord with no SNR degradation, with minimal change in wireless performance and without any scanner modifications or additional antenna systems within the scanner bore.

  • Recent Advances in Radio‐Frequency Coil Technologies: Flexible, Wireless, and Integrated Coil Arrays

    Journal of Magnetic Resonance Imaging · 2021 · 36 citations

    • Computer Science
    • Computer Science
    • Electronic engineering

    Radio-frequency (RF) coils are to magnetic resonance imaging (MRI) scanners what eyes are to the human body. Because of their critical importance, there have been constant innovations driving the rapid development of RF coil technologies. Over the past four decades, the breadth and depth of the RF coil technology evolution have far exceeded the space allowed for this review article. However, these past developments have laid the very foundation on which some of the recent technical breakthroughs are built upon. Here, we narrow our focus on some of the most recent RF coil advances, specifically, on flexible, wireless, and integrated coil arrays. To provide a detailed review, we discuss the theoretical underpinnings, experimental implementations, promising results, as well as future outlooks covering these exciting topics. These recent innovations have greatly improved patient comfort and ease of scan, while also increasing the signal-to-noise ratio, image resolution, temporal throughput, and diagnostic and treatment accuracy. Together with advances in other MRI subfields, they will undoubtedly continue to drive the field forward and lead us to an ever more exciting future. LEVEL OF EVIDENCE: 5 TECHNICAL EFFICACY: Stage 1.

  • Application of an integrated radio‐frequency/shim coil technology for signal recovery in fMRI

    Magnetic Resonance in Medicine · 2021 · 7 citations

    Senior authorCorresponding
    • Computer Science
    • Artificial Intelligence
    • Acoustics

    PURPOSE: shimming with one coil array. iPRES was previously used to correct for distortions in spin-echo EPI and is further developed here to also recover signal loss in gradient-echo EPI. METHODS: inhomogeneity, was modified to include a second term representing the signal loss, with an adjustable weight to optimize the trade-off between distortion correction and signal recovery. Simulations and experiments were performed to investigate the shimming performance. RESULTS: and signal loss root-mean-square errors decreased by -34.3% and -56.2%, whereas the EPI signal intensity and number of activated voxels increased by 60.3% and 174.0% in the inferior frontal brain region. CONCLUSION: iPRES can recover signal loss in gradient-echo EPI, which is expected to improve BOLD fMRI studies in brain regions suffering from signal loss.

Recent grants

Frequent coauthors

  • Allen W. Song

    76 shared
  • Devon Overson

    34 shared
  • David J. Madden

    Duke Medical Center

    30 shared
  • Jenna L. Merenstein

    Duke Medical Center

    18 shared
  • Dean Darnell

    16 shared
  • Fraser Robb

    11 shared
  • Jiayi Zhao

    Xiamen University

    8 shared
  • Kim Johnson

    8 shared
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