Gallery

Gallery

    Placeholder AIRC Annual Symposium 2024
    Placeholder ISMRM 2023
    Placeholder AIRC Annual Symposium 2024
    Placeholder ISMRM 2023
    Placeholder AIRC Annual Symposium 2024
    Placeholder ISMRM 2023
    Placeholder AIRC Annual Symposium 2024
    2023_Haloween 2023 Halloween Party hosted by Dr. Nan Li
    Placeholder Jul. 2023 Lab group gathering
    Placeholder 2023 Halloween Pumpkin Shot
    Placeholder Nov. 2023 Lab group gathering
    Placeholder 2023 Neuro class MRI Tour

    Photo gallery from the Liu (Jiaen) Lab.

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    People

    People

    Meet the Principle Investigator

    portrait of Jiaen Liu Ph.D.

    Jiaen Liu Ph.D., Principle Investigator

    Assistant Professor

     

    Advanced Imaging Research Center & Radiology

    UT Southwestern Medical Center

    Full CV

    Email

    Current Lab Members

    Gaoxing Zheng, Ph.D.

    Postdoctoral Researcher

    UT Southwestern Medical Center

    Small vessel disease, Diffusion MRI, Microstructural and Susceptibility Imaging

    Email

    Placeholder image

    Dahan Kim, Ph.D.

    Visiting Researcher

    Mayo Clinic 

    Magnetization transfer, 4D-flow MRI, non-Cartesian data acquisition

    dahan

    Yujia Huang, M.S.

    Research Engineer

    UT Southwestern Medical Center

    Quantitative MRI, image motion correction

    portrait of Yujia Huang M.S.

    Snehal Mazumder

    Undergraduate Researcher 

    UT Dallas

    Pulseq development

    Snehal Image

    Sophia Vargas

    Undergraduate Researcher 

    UT Dallas

    Intracortical micro-stimulation (ICMS), neural interfaces, and dental implants

    Sophia Vargas Image

    Elizabeth Akinmerese

    High School Researcher 

    Colleyville Heritage HS

    Neurodegenerative disease imaging
    Elizabeth Akinmerese Image

    Lab Alumni

    Carlos D. Perez Ortiz, Undergraduate Researcher from UT Dallas

    Wenkai Liang, Graduate student at UTSW

    Krishan Bansal, Undergraduate Researcher from UT Dallas

    Sanjay Srikanth, Undergraduate Researcher from UT Dallas

    Joshua John, Undergraduate Researcher from UT Dallas, current position: Technical Solutions Engineer at Epic, Madison, WI, USA

    Woowon Lee Ph.D., Postdoc Researcher, current position: Senior Scientist at SK Group, Republic of Korea

    Daniel Gendin Ph.D., Postdoc Researcher, current position: Visiting Assistant Professor at SUNY Buffalo, Buffalo, NY, USA

    Meet the people of the Liu (Jiaen) Lab.

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    Publications

    Publications

      1. Qu, S., de Zwart, J.A., van Gelderen, P., ... Liu, J... "Advancing whole-brain BOLD fMRI in humans at 10.5 Tesla with motion-robust 3D EPI and RF parallel transmission: initial experience". Proceedings of 33rd Annual Conference of International Society for Magnetic Resonance in Medicine. 2025

      2. Qu, S., de Zwart, J.A., van Gelderen, P., ... Liu, J. "Advancing mesoscale whole brain T2*-weighted MRI in humans at 10.5 T using motion-robust multi-echo 3D EPI and RF parallel transmission". Proceedings of 33rd Annual Conference of International Society for Magnetic Resonance in Medicine. 2025

      3. Qu, S., de Zwart, J.A., van Gelderen, P., ... Liu, J. "Mesoscale T2*-weighted MRI of the human cerebellum at 10.5 Tesla: initial experience". Proceedings of 33rd Annual Conference of International Society for Magnetic Resonance in Medicine. 2025

      4. Zheng, G., Huang, Y., Liu, J. "Increased susceptibility in the anterior hippocampal dentate gyrus and CA4 region of patients with mild cognitive impairment". Proceedings of 33rd Annual Conference of International Society for Magnetic Resonance in Medicine. 2025

      5. Huang, Y., Zheng, G., Liu, J. "Observing Age-related Susceptibility Change between Cortical Gray Matter and Superficial White Matter". Proceedings of 33rd Annual Conference of International Society for Magnetic Resonance in Medicine. 2025

      6. Liu, J., van Gelderen, P., de Zwart, J.A., Duyn, J.H., Grant, A., Edward, A., Waks, M., Lagore, R.,Delabarre, L., Sadeghi Tarakameh, A., Eryaman, Y., Adriany, G., Ugurbil, K., Wu, X. “Motion-robust high-resolution multi-echo 3D gradient echo imaging of the human brain at 10.5 tesla using 80 receive channels”. Proceedings of 32nd Annual Conference of International Society for Magnetic Resonance in Medicine. 2024

      7. Kim, D., Huang, Y., Liu, J. “Detection of magnetization exchange between brain tissue and cerebrospinal fluid (CSF) compartments using selective parenchyma spin labeling and T2-selective CSF imaging in human brain”. Proceedings of 32nd Annual Conference of International Society for Magnetic Resonance in Medicine. 2024
      8. Liu, J., Huang, Y. “Effect of cortical orientation relative to the magnetic field on quantitative susceptibility mapping in the grey matter”. Proceedings of 32nd Annual Conference of International Society for Magnetic Resonance in Medicine. 2024
      9. Liu, J., Huang, Y., Chan, K., Jani, M., Rodriguez, Y., Thomas, B., Dimitrov, I., Maher, E., Patel, T., Henning, A. “Case studies evaluating the enhanced visualization and characterization of brain tumor using multi-contrast MRI at 7 T”. Proceedings of 32nd Annual Conference of International Society for Magnetic Resonance in Medicine. 2024
      10. Liu, J. “Imaging magnetization exchange between cerebrospinal fluid and brain parenchyma in humans at 3 T”. Proceedings of 31st Annual Conference of International Society for Magnetic Resonance in Medicine. 2023
      11. Gendin, D., Liu, J. “Efficient correction for MRI artifacts due to nonlinear variations in magnetic field using principal component analysis”. Proceedings of 31st Annual Conference of International Society for Magnetic Resonance in Medicine. 2023 
      12. Huang, Y., van Gelderen, P., Chen, L., de Zwart, J.A., Demir, Z., Saib, G., Li, X., Duyn, J.H., Liu, J.“Improved reliability of R2* and susceptibility quantification using 3D EPI acquisition”. Proceedings of 31st Annual Conference of International Society for Magnetic Resonance in Medicine. 2023 
      13. Liu, J., van Gelderen, P., Li, X., de Zwart, J.A., Lai, K., Sulam, J., Beck, E.S., Okar, S., van Zijl, P., Reich, D. and Duyn, J.H.“In vivo quantitative laminar R2* and susceptibility imaging at 0.3mm inplane resolution”. Proceedings of 30th Annual Conference of International Society for Magnetic Resonance in Medicine. 2022
      14. Liu, J., van Gelderen, P., de Zwart, J.A. and Duyn, J.H.“Imaging intracortical structure using navigator-based, motion and B0-corrected T2* -weighted MRI at 7 T”. Proceedings of 29th Annual Conference of International Society for Magnetic Resonance in Medicine. 2021
      15. Liu, J., Beck E, Gelderen P, Sati P, de Zwart J, Kolb H, Al-Louzi O, Morrison M, Reich D and Duyn J. “Improved T2*-weighted MRI of multiple sclerosis through joint motion and B0 correction”. Proceedings of 28th Annual Conference of International Society for Magnetic Resonance in Medicine. 2020
      16. Liu, J., van Gelderen P, Ozbay P, de Zwart J, Duyn J. “Reducing Motion Sensitivity in 3D High-resolution T2*-weighted and QSM MRI By Navigator-based Motion and Nonlinear Magnetic Field Correction”. Proceedings of 5th International Workshop on MRI Phase Contrast & Quantitative Susceptibility Mapping. 2019 
      17. Liu, J., van Gelderen P, de Zwart J, Duyn J. “Motion-insensitive 3D T2*-weighted MRI using a motion- and B0 field-navigator”. Proceedings of 27th Annual Conference of International Society for Magnetic Resonance in Medicine. 2019; 0072 
      18. Liu, J., Ozbay P. “How should we compare QSM results? A correlation based analysis as an alternative to traditional error metrics”. Proceedings of 26th Annual Conference of International Society for Magnetic Resonance in Medicine. 2018; 2656 
      19. Liu, J., van Gelderen P, de Zwart J, Duyn J. “Motion correction of T2*-weighted MRI with consideration of B0 and B1 effect”. Proceedings of 26th Annual Conference of International Society for Magnetic Resonance in Medicine. 2018; 2656 
      20. Hua, Y., HancuI, Lee S K, Yeo D, Liu J. “Evaluation of the Noise Behavior of Gradient-basedvs. Helmholz based Reconstruction of Electrical Properties Tomography in Simulation”. Proceedings of 26th Annual Conference of International Society for Magnetic Resonance in Medicine. 2018; 5103 
      21. Liu, J., van Gelderen P, de Zwart J, Duyn J. “3D Motion Estimation of Head Using Three Orthogonal Navigator Echoes and Coil Sensitivity Profiles”. Proceedings of 25th Annual Conference of International Society for Magnetic Resonance in Medicine. 2017; 1301 (Poster-Second place winner in Best Abstract Presentation in Motion Study Group) 
      22. Liu, J., de Zwart J, van Gelderen P, Duyn J. “Motion-induced Magnetic Field Changes Inside the Brain”. Proceedings of 25th Annual Conference of International Society for Magnetic Resonance in Medicine. 2017; 1302 

      Publications from the Liu (Jiaen) Lab.

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      Research

      Research

      Imaging the neurofluid and glymphatic system

      The glymphatic system, including cerebrospinal fluid (CSF), plays a vital role in clearing metabolic waste from the brain tissue. While disruption of the CSF exchange with brain tissue has been linked to cognitive decline, probing such exchange in humans remains challenging and largely unstudied. By developing an ingenious MR pulse sequence optimized for measuring the CSF-tissue exchange, our lab is actively discovering new findings in young and elder populations, including age-related biomarkers of declining glymphatic clearance. (Kim et al., NeuroImage 2025)

      CSF Dahan

      In vivo histology using high resolution MRI

      We develop MRI data acquisition and reconstruction strategies for the purpose of using MRI as a noninvasive in vivo histology tool. With higher field strength, signal and contrast level, mesoscale resolution on the order of 0.5 mm brings us unprecedented details about tissue structure. This holds promises to detect subtle lesions in the early stage of diseases which are not available in the standard clinical practice.

      in-vivo histology with high res mri

      Clinical translation

      We are dedicated to the clinical translation of the most advanced imaging technologies. 

      • At high resolution and high field, MRI is more sensitive to the adverse effect of patient motion. Recently, we developed a robust MRI sequence that simultaneously corrects for head motion and motion-induced B0 changes (Liu et al., Neuroimage, 2019). When used in patients with multiple sclerosis, the technique showed doubled sensitivity to detect small cortical lesions (Liu et al., Investigative Radiology, 2021). 
      • We evaluated the viability of utilizing faster MRI sequence as an alternative for the conventional acquisition method. Results showed that this approach reduces scan time while preserving high reliability and accuracy comparable to conventional MRI sequence (Huang et al., MRM, 2023).
      image and graph of cortical ms lesions

      Research from the Liu (Jiaen) Lab.

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      Liu (Jiaen) Lab

      Description

      BiMIR aims at pushing the state of the art in clinical diagnosis and benefit to patients by developing novel medical imaging technologies and enhancing our understanding of the underlying tissue health conditions.

      Davenport Lab

      Description

      The Davenport Lab is a branch of the ANSIR Lab at UTSW that focuses on quantitative methods for human brain imaging, primarily using MRI and Magnetoencephalography (MEG).

      Waugh Lab

      Description

      Dr. Waugh is a physician-scientist whose research focuses on the structural brain abnormalities that lead to dystonia, a movement disorder that leads muscles to twist and contort into painful positions.

      Poojary Lab

      Description

      The goal of our research is to identify key immune checkpoints of gastrointestinal disorders that could be targeted for therapeutic intervention and drug development.

      Park (Jae Mo) Lab

      Description

      Welcome to the PARK Lab.

      Our lab focuses on:

      1. Development of novel noninvasive imaging methods for in vivo metabolism and function
      2. Identification of characteristics in metabolic diseases
      3. Clinical translations of the metabolic imaging methods
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