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Abstract #2903

Accelerated Deuterium Metabolic Imaging of Liver Metastasis at 7T Using Low-Rank and Subspace Reconstruction with Retrospective Undersampling

Kyung Min Nam1, Li Shen Ho1,2, Arthur A.J.A.T Braat2,3, Jeanine Prompers4,5, and Alex Bhogal6
1Precision Imaging Group, Center for Image Sciences, UMC Utrecht, Utrecht, Netherlands, 2Imaging and Oncology, UMC Utrecht, Utrecht, Netherlands, 3Nuclear Medicine, Netherlands Cancer Institute, Amsterdam, Netherlands, 4High Field Research Group, UMC Utrecht, Utrecht, Netherlands, 5Human Biology and Imaging, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht UMC, Maastricht, Netherlands, 6Neurovascular Imaging Group, Center for Image Sciences, UMC Utrecht, Utrecht, Netherlands

Synopsis

Keywords: Deuterium, Deuterium

Motivation: Long acquisition times limit the clinical use of Deuterium Metabolic Imaging (DMI) for liver metastases assessment, as it reduces efficiency and feasibility in routine clinical practice.

Goal(s): This study demonstrates that additional acceleration of DMI can be achieved by combining Hamming weighted-acquisition with retrospective undersampling, potentially reducing acquisition times without compromising data quality.

Approach: DMI data were acquired with weighted-acquisition and retrospectively undersampled to R=1.8 from patients (hepatic tumours). Low-rank and subspace reconstruction was applied to evaluate SNR and CRLB compared to FFT.

Results: The low-rank and subspace reconstruction achieved an approximately 3-fold SNR increase and lower CRLB, enabling practical and accelerated DMI.

Impact: This study enables faster DMI of the abdomen by combining Hamming weighted acquisition with low-rank and subspace reconstruction. The results pave the way for advanced metabolic imaging applications, potentially enhancing liver cancer assessment and treatment planning in clinical settings.

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