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.
How to access this content:
For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.
After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.
After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.
Keywords