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Abstract #3425

Comparison between IVIM combined with fuzzy clustering algorithm and IVIM combined with Bayesian method in the thyroid cancer

Kaining Shi1, Fengmao Chiu2, Yunlong Yue3, Lee Jiang4, Lili Zuo3, and Yanfang Jin3

1Philips Healthcare (China), Beijing, People's Republic of China, 2Philips Healthcare, Taipei, Taiwan, 3Department of MR, Beijing Shijitan hospital of capital medical university, Beijing, People's Republic of China, 4Philips Healthcare (China), Suzhou, People's Republic of China

To improve the stability of the nonlinear curve fitting of IVIM, the Fussy clustering technique (FCM) and data driven Bayesian approach are combined with IVIM in the imaging of thyroid tumors. Both FCM and Bayesian approach can improve the homogeneity of IVIM parameters. With limited sample size, FCM has similar diagnosis efficiency with conventional method using less calculation time, while Bayesian approach doesn’t increase the diagnosis efficiency.

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