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Abstract #0614

Ultrahigh-Resolution Mapping of Brain Metabolic Structures at Ultrahigh Field

Rong Guo1,2, Yudu Li2,3,4, Yibo Zhao2, Wen Jin2,5, Yuhui Chai2, Yao Li6, Brad Sutton2,3,4, and Zhi-Pei Liang2,4,5
1Siemens Healthineers, St Louis, MO, United States, 2Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 3Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 4National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 5Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 6School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China

Synopsis

Keywords: Spectroscopy, Spectroscopy, ultrahigh field

Motivation: Metabolic imaging using MRSI has long been limited to low resolution, restricting its ability to capture fine metabolic structures.

Goal(s): To achieve high-resolution mapping of brain metabolic structures by leveraging the power of ultrahigh field MR.

Approach: An FID-EPSI based sequence was used with extended readouts for data acquisition, achieving an isotropic nominal resolution of 1.8 mm. In data processing, model-based methods were applied for ghost correction, denoising, and de-aliasing to produce high-quality ultrahigh-resolution MRSI results.

Results: The proposed method enabled ultrahigh-resolution metabolic imaging at 7T, which allowed for detailed visualization of metabolite distributions in the brain.

Impact: This work demonstrates the feasibility of ultrahigh-resolution mapping of brain metabolic structures using MRSI. The proposed method offers a new potential for exploring brain metabolism with unprecedented details.

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Keywords