The presented neural network with 3D-FiLM-cGAN architecture synthesizes cerebral blood flow maps from T1-weighted input images. Acquisition- and subject-specific metadata such as sex, arterial spin labeling (ASL) method and readout techniques were fed into the neural network as auxiliary input. The multi-vendor database including different ASL sequence types was created from ADNI data which were preprocessed in ExploreASL and transformed to MNI standard space. A subset of data from a single vendor (GE) were used for supervised training exemplarily and compared to CBF from acquired ASL data.
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