In this work, we propose a spatially adaptive cross-modality based three-dimensional reconstruction network to determine the susceptibility distribution from the magnetic field measurement. To compensate the information lost in previous encoder layers, a set of spatially adaptive modules in different resolutions are embedded into multiscale decoders, which extract features from magnitude images and field maps adaptively. Thus, the magnitude regularization is incorporated into the network architecture while the training stability is improved. It is potential to solve inverse problems of three-dimensional data, especially for cross-modality related reconstructions.
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