Author

G. Oeltzschner

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Biochemistry· 3 Bioengineering· 3 Biophysics· 2

Signature Assays, Organisms & Methods

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Approach:statistical model· 6 Organism:human· 4 Assay:multiome· 4 Research Focus:benchmarking· 3 Approach:deep learning· 2 Research Focus:cell type annotation· 1 Research Focus:dimensionality reduction· 1 Approach:experimental assay· 1

Frequent Co-Authors

R. A. E. Edden· 6 shared S. C. N. Hui· 6 shared Y. Song· 5 shared S. Tapper· 4 shared H. J. Zoellner· 3 shared H. J. Zollner· 3 shared M. Mikkelsen· 2 shared M. Saleh· 2 shared

Activity by Year

2020-2024 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 41 mutual co-author links

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6 shared papersBioengineering

R. A. E. Edden

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Author profile →

8 papers

Recent·Most cited

Integrated Short-TE and Hadamard-edited Multi-Sequence (ISTHMUS) for Advanced MRS

S. C. N. Hui, S. Murali-Manohar, H. J. Zollner, K. E. Hupfeld, C. W. Davies-Jenkins, A. T. Gudmundson, Y. Song, V. Yedavalli, J. L. Wisnowski, B. Gagoski, G. Oeltzschner, R. A. E. Edden

The paper evaluates the ISTHMUS MRS sequence for reproducibility and data quality in the HBCD study, finding improved T2 correction and reduced operator workload.

bioRxiv · Feb 15, 2024Bioengineering

Impact of gradient scheme and shimming on out-of-voxel echo artifacts in edited MRS

y. Song, H. J. Zöllner, S. C. N. Hui, K. Hupfeld, G. Oeltzschner, R. A. E. Edden

This study compares gradient schemes and shimming methods to reduce out-of-voxel echo artifacts in MRS, finding that DOTCOPS gradient schemes significantly reduce these artifacts compared to Shared schemes.

bioRxiv · Jul 10, 2022 · PreprintBiophysics

MRSCloud: a Cloud-based MR Spectroscopy Tool for Basis Set Simulation

S. C. N. Hui, M. Saleh, H. J. Zoellner, G. Oeltzschner, H. Fan, Y. Li, Y. Song, H. Jiang, J. Near, H. Lu, S. Mori, R. Edden

MRSCloud is a cloud-based tool for simulating MR spectroscopy basis sets, achieving high accuracy and reduced runtime compared to existing methods.

bioRxiv · Mar 22, 2022 · PreprintBioengineering

Importance of linear combination modeling for quantification of Glutathione and GABA levels using Hadamard-edited MRS

Y. Song, H. J. Zollner, S. C. N. Hui, G. Oeltzschner, J. J. Prisciandaro, R. A. E. Edden

This study compares simple peak fitting and linear combination modeling for quantifying glutathione levels in MRS data, finding improved reproducibility with LCM for HERMES data.

bioRxiv · Dec 28, 2021 · PreprintBiophysics

The Macromolecular MR Spectrum in Healthy Aging

S. Hui, T. Gong, H. J. Zoellner, Y. Song, S. Murali-Manohar, G. Oeltzschner, M. Mikkelsen, S. Tapper, Y. Chen, M. Saleh, E. C. Porges, W. Chen, G. Wang, R. A. E. Edden

This study acquires and analyzes the macromolecular MR spectrum in healthy adults across ages 20-69, finding no significant age or sex-related changes in macromolecule signals.

bioRxiv · Aug 27, 2021 · PreprintBioengineering

Comparison of linear combination modeling strategies for GABA-edited MRS at 3T

H. J. Zöllner, S. Tapper, S. C. N. Hui, P. B. Barker, R. A. E. Edden, G. Oeltzschner

This paper evaluates different linear combination modeling strategies for quantifying GABA and GABA+ in GABA-edited MRS, finding that including a well-parameterized MM3co basis function improves accuracy.

bioRxiv · May 26, 2021 · PreprintBiochemistry

Comparison of different linear-combination modelling algorithms for short-TE proton spectra

H. J. Zollner, M. Povazan, S. Hui, S. Tapper, R. A. Edden, G. Oeltzschner

This paper compares three linear-combination modelling algorithms for short-TE proton MRS spectra, finding moderate agreement in metabolite estimates but significant variability in Glx and mI across algorithms.

bioRxiv · Jun 5, 2020 · PreprintBiochemistry

Osprey: Open-Source Processing, Reconstruction & Estimation of Magnetic Resonance Spectroscopy Data

G. Oeltzschner, H. J. Zoellner, S. C. N. Hui, M. Mikkelsen, M. G. Saleh, S. Tapper, R. A. E. Edden

Osprey is an open-source MRS data analysis pipeline that integrates preprocessing, modeling, and quantification, demonstrating successful processing of various MRS datasets.

bioRxiv · Feb 12, 2020Biochemistry