Xiaodong Ma

Xiaodong Ma, PhD

Languages spoken: Chinese, English

Academic Information

Departments Primary - Radiology & Imaging Sciences

Academic Office Information

Xiaodong.ma@hsc.utah.edu

Research Interests

  • Magnetic Resonance Imaging - MRI
  • Neuroimaging
  • Neurovascular Imaging

Research Statement

I am an MRI physicist and I am interested in developing advanced MRI techniques and validating their value in clinical applications. During my PhD I developed a series of high-resolution diffusion methods using multi-shot EPI and spiral, and successfully applied them to imaging different organs in patients, particularly in the spinal cord and pelvis. I extended these methods to ultra-high field MRI (7T) while I was a Postdoc Associate at University of Minnesota, by developing advanced brain MRI techniques including user-friendly parallel transmission (pTx), image reconstruction and denoising for diffusion MRI. Currently I am dedicated to develope fast and reliable multi-contrast MRI tools for neurovascular diseases, and translate their potential into the value of facilitating clinical practice.

Education History

Graduate Training Tsinghua University School of Medicine
 PhD
Tsinghua University School of Medicine
 BE

Selected Publications

Journal Article

  1. Li G, Ma X, Li S, Ye X, Brnert P, Zhou XJ, Guo H (2023). Comparison of uniform-density, variable-density, and dual-density spiral samplings for multi-shot DWI. Magn Reson Med, 90(1), 133-149. (Read full article)
  2. Pan Z, Ma X, Dai E, Auerbach EJ, Guo H, Uurbil K, Wu X (2023). Reconstruction for 7T high-resolution whole-brain diffusion MRI using two-stage N/2 ghost correction and L1-SPIRiT without single-band reference. Magn Reson Med, 89(5), 1915-1930. (Read full article)
  3. Hu Z, Zhang Z, Ma X, Jing J, Guo H (2022). Technical note: Revised projections onto convex sets reconstruction of multi-shot diffusion-weighted imaging. Med Phys, 50(2), 980-992. (Read full article)
  4. Zhu W, Ma X, Zhu XH, Ugurbil K, Chen W, Wu X (2022). Denoise Functional Magnetic Resonance Imaging With Random Matrix Theory Based Principal Component Analysis. IEEE Trans Biomed Eng, 69(11), 3377-3388. (Read full article)
  5. Ma X, Uurbil K, Wu X (2022). Mitigating transmit-B1 artifacts by predicting parallel transmission images with deep learning: A feasibility study using high-resolution whole-brain diffusion at 7 Tesla. Magn Reson Med. (Read full article)
  6. Shang R, He L, Ma X, Ma Y, Li X (2020). Connectome-Based Model Predicts Deep Brain Stimulation Outcome in Parkinson's Disease. Front Comput Neurosci, 14, 571527. (Read full article)
  7. Han X, Ma X, Li D, Wang J, Jiang W, Cheng X, Li G, Guo H, Tian W (2020). The Evaluation and Prediction of Laminoplasty Surgery Outcome in Patients with Degenerative Cervical Myelopathy Using Diffusion Tensor MRI. AJNR Am J Neuroradiol, 41(9), 1745-1753. (Read full article)
  8. Ma X, Uurbil K, Wu X (2020). Denoise magnitude diffusion magnetic resonance images via variance-stabilizing transformation and optimal singular-value manipulation. Neuroimage, 215, 116852. (Read full article)
  9. Li X, Cao T, Tong Y, Ma X, Niu Z, Guo H (2020). Deep residual network for highly accelerated fMRI reconstruction using variable density spiral trajector. Neurocomputing (Amst), 398, 338-46.
  10. An H, Ma X, Pan Z, Guo H, Lee EYP (2019). Qualitative and quantitative comparison of image quality between single-shot echo-planar and interleaved multi-shot echo-planar diffusion-weighted imaging in female pelvis. Eur Radiol, 30(4), 1876-1884. (Read full article)
  11. Wu Y, Ma X, Huang F, Guo H (2019). Common Information Enhanced Reconstruction for Accelerated High-resolution Multi-shot Diffusion Imaging. Magn Reson Imaging, 62, 28-37. (Read full article)
  12. Dai E, Zhang Z, Ma X, Dong Z, Li X, Xiong Y, Yuan C, Guo H (2018). The effects of navigator distortion and noise level on interleaved EPI DWI reconstruction: a comparison between image- and k-space-based method. Magn Reson Med, 80(5), 2024-2032. (Read full article)
  13. Jiang W, Han X, Guo H, Ma XD, Wang J, Cheng X, Yu A, Song Q, Shi K, Dai J (2018). Usefulness of conventional magnetic resonance imaging, diffusion tensor imaging and neurite orientation dispersion and density imaging in evaluating postoperative function in patients with cervical spondylotic myelopathy. J Orthop Translat, 15, 59-69. (Read full article)
  14. Ma X, Han X, Jiang W, Wang J, Zhang Z, Li G, Zhang J, Cheng X, Chen H, Guo H, Tian W (2018). A Follow-up Study of Postoperative DCM Patients Using Diffusion MRI with DTI and NODDI. Spine (Phila Pa 1976), 43(15), E898-E904. (Read full article)
  15. Guo L, Huang F, Xu Z, Mei Y, Fang W, Ma X, Dai E, Guo H, Feng Q, Chen W, Feng Y (2018). eIRIS: Eigen-analysis approach for improved spine multi-shot diffusion MRI. Magn Reson Imaging, 50, 134-140. (Read full article)
  16. Dong Z, Dai E, Wang F, Zhang Z, Ma X, Yuan C, Guo H (2018). Model-based reconstruction for simultaneous multislice and parallel imaging accelerated multishot diffusion tensor imaging. Med Phys, 45(7), 3196-3204. (Read full article)
  17. Dong Z, Wang F, Ma X, Dai E, Zhang Z, Guo H (2017). Motion-corrected k-space reconstruction for interleaved EPI diffusion imaging. Magn Reson Med, 79(4), 1992-2002. (Read full article)
  18. Wang Y, Ma X, Zhang Z, Dai E, Jeong HK, Xie B, Yuan C, Guo H (2017). A comparison of readout segmented EPI and interleaved EPI in high-resolution diffusion weighted imaging. Magn Reson Imaging, 47, 39-47. (Read full article)
  19. Dong Z, Wang F, Ma X, Zhang Z, Dai E, Yuan C, Guo H (2017). Interleaved EPI diffusion imaging using SPIRiT-based reconstruction with virtual coil compression. Magn Reson Med, 79(3), 1525-1531. (Read full article)
  20. Li X, Ma X, Li L, Zhang Z, Zhang X, Tong Y, Wang L, Sen Song, Guo H (2017). Dual-TRACER: High resolution fMRI with constrained evolution reconstruction. Neuroimage, 164, 172-182. (Read full article)
  21. Guan L, Chen X, Hai Y, Ma X, He L, Wang G, Yuan C, Guo H (2017). High-resolution diffusion tensor imaging in cervical spondylotic myelopathy: a preliminary follow-up study. NMR Biomed, 30(10). (Read full article)
  22. Hu Z, Ma X, Truong TK, Song AW, Guo H (2016). Phase-updated regularized SENSE for navigator-free multishot diffusion imaging. Magn Reson Med, 78(1), 172-181. (Read full article)
  23. Dai E, Ma X, Zhang Z, Yuan C, Guo H (2016). Simultaneous multislice accelerated interleaved EPI DWI using generalized blipped-CAIPI acquisition and 3D K-space reconstruction. Magn Reson Med, 77(4), 1593-1605. (Read full article)
  24. Ma X, Zhang Z, Dai E, Guo H (2016). Improved multi-shot diffusion imaging using GRAPPA with a compact kernel. Neuroimage, 138, 88-99. (Read full article)
  25. Guo H, Ma X, Zhang Z, Zhang B, Yuan C, Huang F (2015). POCS-enhanced inherent correction of motion-induced phase errors (POCS-ICE) for high-resolution multishot diffusion MRI. Magn Reson Med, 75(1), 169-80. (Read full article)
  26. Shi X, Ma X, Wu W, Huang F, Yuan C, Guo H (2014). Parallel imaging and compressed sensing combined framework for accelerating high-resolution diffusion tensor imaging using inter-image correlation. Magn Reson Med, 73(5), 1775-85. (Read full article)
  27. Zhang Z, Huang F, Ma X, Xie S, Guo H (2014). Self-feeding MUSE: a robust method for high resolution diffusion imaging using interleaved EPI. Neuroimage, 105, 552-60. (Read full article)

Clinical Trials