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The Neuroscience Section is focused on the development of novel MRI technologies and their application to basic science problems and clinical disease, especially in the brain. Methods have and are being developed for MRS and MRS imaging (MRSI); diffusion tensor imaging (DTI) and axonal mapping; physiological imaging (blood flow, blood volume, and blood oxygenation); and for the study of biochemical interactions using magnetization transfer processes.

Other research to improve the understanding of the blood oxygen level-dependent (BOLD) mechanism that underlies functional MRI, and the theory of MR relaxation in blood that underlies it is underway. Several faculty members of this large section are engaged in the development of new technologies for high-field MRI, including novel biodegradable contrast agents (sugar and proteins), molecular imaging markers, and new endogenous contrast agents for distinguishing tumors from healthy tissue.


Our Team

Division Chief




Kazi Akhter, B.S.

Research Associate

Adnan Bibic, Ph.D.

Research Associate

Joe Gillen, B.S.

Research Associate  

Wenbo Li, Ph.D.

Assistant Professor

Deng Mao, Ph.D.

Research Associate

Feng Xu, Ph.D.

Research Associate


Yang Zhou, Ph.D.

Akansha Sehgal

Lin Chen



Blake Dewey

Kaihua Zhang

Chongxue Bie


MRI at Kirby Center

Terri Brawner

MRI Chief Tech at Kirby Center

Kathleen Kahl

Ivana Kusevic


Our Research Labs

  • Peter van Zijl Laboratory

    The Peter van Zijl Laboratory focuses on developing new methodologies for using MRI and magnetic resonance spectroscopy (MRS) to study brain function and physiology. In addition, we are working to understand the basic mechanisms of the MRI signal changes measured during functional MRI (fMRI) tests of the brain. We are also mapping the wiring of the brain (axonal connections between the brains functional regions) and designing new technologies for MRI to follow where cells are migrating and when genes are expressed. A more recent interest is the development of bioorganic biodegradable MRI contrast agents. Our ultimate goal is to transform these technologies into fast methods that are compatible with the time available for multi-modal clinical diagnosis using MRI.

    Research Areas: brain, magnetic resonance spectroscopy, MRI

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