Abstract #0856

Multimodal Imaging of Brain Tumors Using High-Resolution 1H-MRSI Without Water Suppression

Jun Liu¹, Yudu Li^2,3, Tianyao Wang¹, Tianxiao Zhang⁴, Ziyu Meng^2,4, Ke Xue⁴, Rong Guo^2,3, Yibo Zhao^2,3, Yiping Du⁴, Qun Chen⁴, Zhi-Pei Liang^2,3, and Yao Li⁴

¹Radiology department, The Fifth People's Hospital of Shanghai, Fudan University, Shanghai, China, ²Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States, ³Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States, ⁴Institute for Medical Imaging Technology, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China

The characterization and grading of brain tumors are challenging using conventional MRI technology because of its poor specificity. MRSI has been recognized as a powerful tool for mapping the metabolic fingerprints of tumors. However, existing MRSI methods have poor spatial resolution which limits their practical applications in brain tumor imaging. In this paper, we investigate the use of a high-resolution MRSI technique for multimodal imaging of brain tumors. We demonstrate the capability of performing simultaneous mapping of brain metabolites (at 2.0×2.4×2.0 mm³ nominal spatial resolution), MWF and QSM using our new MRSI technology. This capability enables us to capture metabolic changes of small brain tumors (<10mm³).

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