MRE is a method for non-invasively and quantitatively estimating the stiffness of biological tissues. Although many estimation methods have been proposed, such as LFE, DI, and MMDI, there is a problem that both quantitativeness and spatial resolution cannot be achieved. In this study, we developed an elastic modulus estimation method by deep learning and compared its robustness to noise, quantitativeness, and spatial resolution with existing methods by numerical simulation. Compared with the conventional method (LFE), the proposed method has the same level of noise robustness, higher spatial resolution, and better quantitative performance in the case of high elastic modulus.
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