Name Georg Oeltzschner, PhD
Label Assistant Professor
Email goeltzs1 (at) jh (dot) edu
Phone (410) 614-3431
Summary Interested in advanced magnetic resonance spectroscopy.


  • 2021.07 - Present
    Assistant Professor
    Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University of Medicine
    Radiology Research Faculty
    • Magnetic Resonance Spectroscopy
    • Spectral Editing
    • Linear-Combination Modeling
    • Data Processing
    • Open-source software


  • 2023.06 - Present

    Concord, CA

    Executive Board Member
    MRS Study Group of the International Society for Magnetic Resonance in Medicine (ISMRM)
    Elected member of the self-governing body of the largest global MRS community organization.
    • Secretary (2023-2024)
    • Vice Chair (2024-2025)


  • 2012.01 - 2015.12

    Düsseldorf, Germany

    Heinrich Heine University Düsseldorf
    Institute for Clinical Neuroscience and Medical PsychologyInstitute for Diagnostic and Interventional Radiology
    • Dissertation title 'Magnetic resonance spectroscopy and quantitative brain water imaging in patients with hepatic encephalopathy'


  • 2022.07.04
    R21 EB033516 General Linear Modeling For Magnetic Resonance Spectroscopy
    Modern magnetic resonance spectroscopy (MRS) experiments can measure various physical properties of chemicals in the brain. Current computer modeling tools are inadequate to extract the information that such experiments can deliver, and this project seeks to develop new modeling and quantification tools that will be freely accessible to the MRS community.
  • 2019.03.27
    K99/R00 AG062230 Towards a comprehensive neurometabolic profile in patients with mild cognitive impairment
    The prevalence of Alzheimer’s disease is projected to quadruple by 2050 due to the world’s aging population, potentially leading to social and economic crisis. The proposed research project will develop novel magnetic resonance spectroscopic methods to determine a profile of neurometabolic alterations in the brains of patients in early disease stages. These advancements will enhance our understanding of the neurobiological processes leading to cognitive decline, may improve strategies for early identification of individuals at risk of disease progression, and could identify potential approaches for prevention and treatment for this devastating dementia.


Native speaker
Full professional proficiency


Professor Alfons Schnitzler
PhD advisor
Professor Richard Edden
Postdoc supervisor