CV
Basics
Name | Georg Oeltzschner, PhD |
Label | Assistant Professor |
goeltzs1 (at) jh (dot) edu | |
Phone | (410) 614-3431 |
Url | https://www.specfitlab.com |
Summary | Interested in advanced magnetic resonance spectroscopy. |
Work
-
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
Volunteer
-
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)
Education
-
2012.01 - 2015.12 Düsseldorf, Germany
PhD
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'
Awards
- 2022.07.04
R21 EB033516 General Linear Modeling For Magnetic Resonance Spectroscopy
NIH/NIBIB
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
NIH/NIA
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.
Languages
German | |
Native speaker |
English | |
Full professional proficiency |
References
Professor Alfons Schnitzler | |
PhD advisor |
Professor Richard Edden | |
Postdoc supervisor |