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Abstract #5190

How accurately can fat be quantified? A Bayesian View

Xiaoqi Wang1, Li Xu2, and Xiaoguang Cheng2

1Philips Healthcare, Beijing, People's Republic of China, 2Department of Radiology, Beijing Jishuitan Hospital

An error analysis was carried, under frame work of Bayesian probability theory, for fat quantification using multiple gradient echo sequences to separate water and fat content in MRI signal. The results confirm that this method is accurate when protocols are carefully designed; this analysis also provides guideline in designing parameter settings to achieve optimal accuracy in fat quantification measurements.

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