Abstract #4480

Fast 3D Hyperpolarized Carbon-13 Metabolic MRI with Enhanced Spatio-Temporal Resolution Using Radial Multi-Echo bSSFP and PSF Optimization

Zirun Wang¹, Christoph A. Müller^1,2,3, Johannes Fischer¹, Martin Grashei⁴, Sandra Sühnel⁴, Nadine Setzer⁴, Franz Schilling^4,5,6, Marcel Awenius^7,8, Andreas Korzowski⁷, Ali C. Özen¹, Maxim Zaitsev¹, Michael Bock¹, and Andreas B. Schmidt^1,2

¹Division of Medical Physics, Department of Radiology, University Medical Center Freiburg, Freiburg im Breisgau, Germany, ²German Cancer Consortium (DKTK), partner site Freiburg and German Cancer Research Center (DKFZ), Freiburg im Breisgau, Germany, ³NVision Imaging Technologies GmbH, Ulm, Germany, ⁴Technical University of Munich, School of Medicine and Health, Department of Nuclear Medicine, TUM University Hospital, Munich, Germany, ⁵German Cancer Consortium (DKTK), partner site Munich and German Cancer Research Center (DKFZ), Munich, Germany, ⁶Munich Institute of Biomedical Engineering, Technical University of Munich, Garching, Germany, ⁷German Cancer Research Center (DKFZ), Heidelberg, Germany, ⁸Faculty of Physics and Astronomy, University of Heidelberg, Heidelberg, Germany

Synopsis

Keywords: Hyperpolarized MR (Non-Gas), Hyperpolarized MR (Non-Gas), Non-Cartesian acquisition, Carbon-13 MRI

Motivation: Hyperpolarized (HP) ¹³C MRSI enables dynamic imaging of metabolism, but short imaging windows and irreversible longitudinal relaxation enforce trade-offs between spectral, spatial, and temporal resolution.

Goal(s): The study aims to optimize dynamic HP ¹³C MRSI imaging with high spatio-temporal resolution by a sliding-window reconstruction and tuning readout parameters.

Approach: In vivo ¹³C MRI data were measured with a 3D radial multi-echo bSSFP sequence with a sliding-window acquisition. Readout trajectory parameters were optimized by point spread function (PSF) simulations and validated by an in vitro experiment.

Results: Our technique provided high-resolution dynamic ¹³C MRI and improved kinetic-model fitting and readout efficiency.

Impact: Dynamic hyperpolarized ¹³C MRSI imaging is optimized by a sliding-window technique, producing high-resolution dynamic images and improving kinetic model fitting. The approach optimizes trade-offs between spectral, spatial, and temporal resolution in HP ¹³C metabolic MRI.

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