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Abstract #2899

Comparison of denoising methods for dynamic deuterium MRSI at 7T

Anna Duguid1, Wolfgang Bogner1,2, Fabian Niess1, Lukas Hingerl1, Viola Bader1, Sabina Frese1, Aaron Osburg1, Martin Krššák3, Bernard Lanz4,5, Brayan Alves4,5, Cristina Cudalbu4,5, and Bernhard Strasser1
1High Field MR Centre, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria, 2Christian Doppler Laboratory for MR Imaging Biomarkers (BIOMAK), Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria, 3Department of Medicine III, Division of Endocrinology and Metabolism, Medical University of Vienna, Vienna, Austria, 4CIBM Center for Biomedical Imaging, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, 5Animal Imaging and Technology, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland

Synopsis

Keywords: Deuterium, Deuterium, Low-Rank Denoising, Deuterium Metabolic Imaging, Spectroscopy

Motivation: Dynamic deuterium (2H) MRSI is a promising technique for mapping metabolic fluxes. However, achieving adequate spatiotemporal resolution is challenging due to its inherently low SNR.

Goal(s): This work compares four low-rank denoising strategies for dynamic 2H-MRSI: Spatiotemporal-based low-rank approximation (ST), global-local higher-order singular value decomposition (GLHOSVD), and Mixed and Stacked ST, which reshape the 5D array into a matrix before denoising.

Approach: Each denoising method was tested on simulated and in vivo dynamic 2H-MRSI brain data.

Results: All methods reduced noise variation in the metabolite maps. GLHOSVD and Mixed denoising mostly preserved regional physiological variations, whereas ST and Stacked ST substantially degraded them.

Impact: Our work helps identify a denoising algorithm for dynamic 2H-MRSI that achieves high denoising performance while preserving regional variations. The achieved reductions in metabolite concentration uncertainty may enable high-resolution, whole-brain dynamic 2H-MRSI, to investigate oxidative and non-oxidative human brain metabolism.

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Keywords