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Abstract #0856

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

Jun Liu1, Yudu Li2,3, Tianyao Wang1, Tianxiao Zhang4, Ziyu Meng2,4, Ke Xue4, Rong Guo2,3, Yibo Zhao2,3, Yiping Du4, Qun Chen4, Zhi-Pei Liang2,3, 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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