Abstract #2048

Feasibility of fat quantification of in vivo mouse liver at 9.4T

Zhongmiao Wang¹, Tingting Bo^2,3,4, Chen Chen⁵, Yuqin Min⁶, Xinxin Cai³, Huimin Lin³, Hongxia Lei¹, Renkuan Zhai¹, Jiqiu Wang², Fuhua Yan³, and Guang Ning²

¹Wuhan United Imaging Life Science Instrument Co., Ltd., Wuhan, China, ²Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China, ³Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China, ⁴Clinical Neuroscience Center, Ruijin Hospital Luwan Branch, Shanghai Jiao Tong University School of Medicine, Shanghai, China, ⁵United imaging healthcare, Shanghai, China, ⁶Institute for medical imaging technology, Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

Synopsis

Keywords: Liver, LiverThe feasibility of determination of fat in living mouse liver is demonstrated at 9.4T using gradient-echo sequence and the Fat Analysis and Calculation Technique (FACT)—Transition Region Extraction (TREE) algorithm. The proton density fat fraction map is obtained, which is positively correlated with steatosis. The proposed technique is a promising non-invasive tool for diagnosing fatty liver diseases.

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