469-03-013 ISMRM Abstract

Neurometabolic Changes in Traumatic Brain Injury patients: Establishing and Enabling 1H-MRS Data Acquisition and Analysis

Primary: Neuro - Traumatic Brain Injury

Secondary: Contrast Mechanisms - Spectroscopy

469-03-013 · Software and Analysis for MR Spectroscopy and Chemical Shift Imaging · Tuesday, 12 May, 1:40 PM–2:35 PM · Digital Posters Row J

Keywords: Traumatic brain injury Brain metabolism Magnetic resonance spectroscopic imaging

Accepted

Siddharth S Singh¹, Saipavitra Murali-Manohar², Maninder Singh¹, BV Rathish Kumar³, Sudhir K Pathak⁴, Ekta Dixit¹, Anit Parihar¹, Anil Chandra⁵, Manoj Kumar¹, Bal K Ojha⁵, Durgesh K Dwivedi ¹

¹Radiodiagnosis, King George's Medical University, Lucknow, India

²The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, United States of America

³Department of Mathematics and Statistics, Indian Institute of Technology, Kanpur, India

⁴Learning Research and Development Center, University of Pittsburgh, Pittsburgh, United States of America

⁵Neurosurgery, King George's Medical University, Lucknow, India

Presenting Author: Durgesh K Dwivedi

Synopsis

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References

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2. Joyce JM, La PL, Walker R, Harris AD. Magnetic Resonance Spectroscopy of Traumatic Brain Injury and Subconcussive Hits: A Systematic Review and Meta-Analysis. J Neurotrauma. 2022 Nov;39(21-22):1455-1476. DOI: https://doi.org/10.1089/neu.2022.0125 [doi]

3. Hui, S. C., Saleh, M. G., Zöllner, H. J., Oeltzschner, G., Fan, H., Li, Y., ... & Edden, R. A. (2022). MRSCloud: A cloud‐based MRS tool for basis set simulation. Magnetic resonance in medicine, 88(5), 1994-2004. DOI:https://doi.org/10.1002/mrm.29370 [doi]

4. Oeltzschner G, Zöllner HJ, Hui SC et al.. Osprey: Open-source processing, reconstruction & estimation of magnetic resonance spectroscopy data. Journal of neuroscience methods. 2020;343:108827. DOI:https://doi.org/10.1016/j.jneumeth.2020.108827 [doi]

5. Zöllner HJ, Davies-Jenkins CW, Lee EG et al. Continuous automated analysis workflow for MRS studies. Journal of medical systems. 2023;47(1):69. DOI:https://doi.org/10.1016/j.jneumeth.2020.108827 [doi]

6. Near J, Harris AD, Juchem C et al. Preprocessing, analysis and quantification in single‐voxel magnetic resonance spectroscopy: experts' consensus recommendations. NMR in Biomedicine. 2021;34(5):e4257. DOI: https://doi.org/10.1002/nbm.4257 [doi]

7. Wilson M, Andronesi O, Barker PB et al. Methodological consensus on clinical proton MRS of the brain: Review and recommendations. Magnetic resonance in medicine. 2019;82(2):527-50. DOI: https://doi.org/10.1002/mrm.27742 [doi]

8. Joyce, Julie M., Parker L. La, Robyn Walker, and Ashley D. Harris. "Magnetic resonance spectroscopy of traumatic brain injury and subconcussive hits: A systematic review and meta–analysis." Journal of Neurotrauma 39, no. 21-22 (2022): 1455-1476. DOI:10.1089/neu.2022.0125 [doi]

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http://echo.ismrm.org/p/ISMRM2026/469-03-013