Comparison of Low‐Rank Denoising Methods for Dynamic Deuterium MRSI at 7 T Article Swipe
Anna Duguid
,
Fabian Niess
,
Wolfgang Bogner
,
Lukas Hingerl
,
Viola Bader
,
S.D. Frese
,
Aaron Osburg
,
Bernard Lanz
,
Brayan Alves
,
Cristina Cudalbu
,
Simon Robinson
,
Korbinian Eckstein
,
Bernhard Strasser
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1002/nbm.70125
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1002/nbm.70125
Dynamic deuterium ( 2 H)‐MRSI enables mapping of metabolic fluxes in vivo, but its sensitivity is hampered by the low 2 H gyromagnetic ratio and 2 H‐labelled metabolite concentrations. Low‐rank denoising can enhance MRSI sensitivity by separating signal from noise. Several methods have been proposed, but the optimal approach for dynamic 2 H‐MRSI remains unclear. This work compares six low‐rank denoising methods for dynamic 2 H‐MRSI: four variations of spatiospectral partial separability (PS)—Global PS, Local PS, Stacked PS and SPectral and temporal INtegration for SVD (SPIN‐SVD)—as well as global–local higher order singular value decomposition (GL‐HOSVD) and tensor Marchenko–Pastur principal component analysis (tMPPCA). Performance was evaluated using realistic 2 H‐MRSI brain simulations across a range of noise and B 0 inhomogeneity levels, including a lesion model featuring focal metabolic alteration, and in vivo data. For simulations at the in vivo SNR and B 0 level, the concentration root‐mean‐square errors (RMSE) of the fitted metabolite maps against gold standard maps were reduced by 29.3%, 24.4%, 20.2%, 33.4%, 23.5% and 21.9% following denoising with Global PS, Local PS, Stacked PS, SPIN‐SVD, GL‐HOSVD and tMPPCA, respectively. Across all simulated noise levels and all but the highest B 0 inhomogeneity level, SPIN‐SVD achieved the lowest concentration RMSE and best preserved spatial distributions of 2 H‐labelled water (HDO) and lactate (Lac), including lesion‐associated changes. While Global PS and Stacked PS reduced noise variance, they failed to preserve signal variations in simulated and in vivo data. SPIN‐SVD, GL‐HOSVD and tMPPCA reduced noise in vivo while maintaining spatial and temporal metabolite variations. GL‐HOSVD and tMPPCA performed similarly, with tMPPCA preferred for its computational efficiency. Both SPIN‐SVD and tMPPCA are suitable for denoising dynamic 2 H‐MRSI, with SPIN‐SVD preferable for clinical applications owing to its simple implementation and superior preservation of local metabolic alterations, and tMPPCA better suited for absolute quantification of very low SNR metabolites.
Related Topics
Concepts
Singular value decomposition
Noise (video)
Nuclear magnetic resonance
Noise reduction
Mean squared error
Magnetic resonance spectroscopic imaging
Sensitivity (control systems)
Diffusion MRI
Principal component analysis
Chemistry
Mathematics
Physics
Algorithm
Computer science
Magnetic resonance imaging
Artificial intelligence
Statistics
Medicine
Radiology
Engineering
Image (mathematics)
Electronic engineering
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1002/nbm.70125
- https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/nbm.70125
- OA Status
- hybrid
- Cited By
- 1
- References
- 46
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4413871705
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4413871705Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1002/nbm.70125Digital Object Identifier
- Title
-
Comparison of Low‐Rank Denoising Methods for Dynamic Deuterium MRSI at 7 TWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2025Year of publication
- Publication date
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2025-08-31Full publication date if available
- Authors
-
Anna Duguid, Fabian Niess, Wolfgang Bogner, Lukas Hingerl, Viola Bader, S.D. Frese, Aaron Osburg, Bernard Lanz, Brayan Alves, Cristina Cudalbu, Simon Robinson, Korbinian Eckstein, Bernhard StrasserList of authors in order
- Landing page
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https://doi.org/10.1002/nbm.70125Publisher landing page
- PDF URL
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/nbm.70125Direct link to full text PDF
- Open access
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/nbm.70125Direct OA link when available
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Singular value decomposition, Noise (video), Nuclear magnetic resonance, Noise reduction, Mean squared error, Magnetic resonance spectroscopic imaging, Sensitivity (control systems), Diffusion MRI, Principal component analysis, Chemistry, Mathematics, Physics, Algorithm, Computer science, Magnetic resonance imaging, Artificial intelligence, Statistics, Medicine, Radiology, Engineering, Image (mathematics), Electronic engineeringTop concepts (fields/topics) attached by OpenAlex
- Cited by
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1Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1Per-year citation counts (last 5 years)
- References (count)
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46Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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