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Abstract #3033

Hyperpolarized 13C 3D MRSI using Radial Multi-echo bSSFP and k-Space-based IDEAL

Zirun Wang1, Martin Grashei2, Johannes Fischer1, Sandra Sühnel2, Nadine Setzer2, Marcel Awenius3, Andreas Korzowski3, Maxim Zaitsev1, Michael Bock1, Franz Schilling2, Andreas B. Schmidt1,4, and Christoph A. Müller1,5
1Division of Medical Physics, Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg im Breisgau, Germany, 2Department of Nuclear Medicine, Technical University of Munich (TUM) School of Medicine, University Hospital rechts der Isar, Munich, Germany, 3German Cancer Consortium (DKTK), core center Heidelberg and German Cancer Research Center (DKFZ), Heidelberg, Germany, 4German Cancer Consortium (DKTK), partner site Freiburg and German Cancer Research Center (DKFZ), Heidelberg, Germany, 5NVision-Imaging Technologies GmbH, Ulm, Germany

Synopsis

Keywords: Hyperpolarized MR (Non-Gas), Hyperpolarized MR (Non-Gas), multi echo, bSSFP, radial readout

Motivation: 3D Metabolic imaging of hyperpolarized (HP) 13C agents demands specialized signal excitation and acquisition strategies.

Goal(s): This study introduces the combination of multi-echo bSSFP and radial readout with a spiral phyllotaxis pattern to rapidly image 13C-labeled contrast agents.

Approach: We implemented the novel sequence in a rodent in vivo experiment using HP [1-13C]pyruvate.

Results: Employing iterative signal decomposition and radial data reconstruction, we successfully captured the global signal dynamics with an unprecedented temporal resolution of 16 ms. Besides, we generated concentration maps for pyruvate, lactate, alanine, and calculated area-under-the-curve (AUC) metabolite ratio maps for Lac/Pyr and Ala/Pyr.

Impact: Hyperpolarized 13C 3D metabolic MRI is challenging due to the short-living magnetization. With 3D spiral phyllotaxis radial multi-echo bSSFP MRI and post-scan metabolite separation, large areas of interest can be acquired and reconstructed into signal time-curves and 3D metabolite maps.

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Abstract

Keywords