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A data-driven algorithm to determine 1H-MRS basis set composition
Christopher W Davies-Jenkins1, Helge J Zöllner1, Dunja Simicic1
1The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Biorxiv : the Preprint Server for Biology
|September 24, 2024
Summary
This study introduces a novel data-driven method using Bayesian Information Criteria (BIC) to determine the optimal basis set for Magnetic Resonance Spectroscopy (MRS). This approach improves the reproducibility and objectivity of metabolite quantification in clinical settings.
Area of Science:
- Neuroimaging
- Biophysics
- Computational Biology
Background:
- Quantitative analysis of Magnetic Resonance Spectroscopy (MRS) data relies on accurate metabolite basis sets for modeling.
- Current lack of consensus on ideal basis set composition hinders reproducibility in MRS studies.
- Operator bias and subjective criteria contribute to variability in MRS data analysis.
Purpose of the Study:
- To develop and validate a novel, data-driven approach for selecting Magnetic Resonance Spectroscopy (MRS) basis sets.
- To utilize Bayesian Information Criteria (BIC) for objective basis set composition determination.
- To enhance the reproducibility and objectivity of quantitative MRS analyses.
Main Methods:
- An iterative algorithm was developed to build basis sets, guided by BIC scores.
- Two stopping conditions (max-BIC and zero-amplitude) were investigated for algorithm termination.
- Basis set selection was evaluated at both single-spectrum and group levels using synthetic brain and tumor spectra.
Main Results:
- Derived basis sets accurately identified high-concentration metabolites and provided good spectral fits.
- Single-spectrum basis set determination achieved 77-87% accuracy.
- Group-level optimization improved basis set determination accuracy to 84-92%.
Conclusions:
- Data-driven basis set determination for MRS is feasible and effective.
- This approach has the potential to reduce operator bias and increase objectivity in MRS.
- Refinement of this method could significantly enhance the clinical utility of MRS.
Keywords:
2HGCystathioninebasis setinformation criteriamagnetic resonance spectroscopymodel selectionMore Related Videos
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