ArticleIEEE transactions on bio-medical engineering2024
Multi-Parametric Molecular Imaging of the Brain Using Optimized Multi-TE Subspace MRSI.
Article in IEEE transactions on bio-medical engineering, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- High-resolution, volumetric diffusion-weighted MR spectroscopic imaging of the brain.Magnetic resonance in medicine · 2025Article
- MR Spatiospectral Reconstruction Integrating Subspace Modeling and Self-Supervised Spatiotemporal Denoising.IEEE transactions on medical imaging · 2025Article
- Simultaneous Concentration and TNMR in biomedicine · 2025Article
- Joint learning of nonlinear representation and projection for fast constrained MRSI reconstruction.Magnetic resonance in medicine · 2025Article
- High-resolutionNMR in biomedicine · 2024Article
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Authors and funding
6 authors.
Funding
Abstract
objectiveTo develop a novel multi-TE MR spectroscopic imaging (MRSI) approach to enable label-free, simultaneous, high-resolution mapping of several molecules and their biophysical parameters in the brain.
methodsThe proposed method uniquely integrated an augmented molecular-component-specific subspace model for multi-TE
resultsThe proposed TE optimization improved estimation of metabolites, neurotransmitters and their T
conclusionThe feasibility for high-resolution mapping of metabolites/neurotransmitters and metabolite T SIGNIFICANCE: A novel multi-TE MRSI approach was presented that enhanced the technological capability of multi-parametric molecular imaging of the brain. The proposed method presents new technology development and application opportunities for providing richer molecular level information to uncover and comprehend metabolic changes relevant in various neurological applications.
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