Keywords: Elastography, Elastography
Motivation: Existing MRE datasets are limited in size, limiting their use in computational models. Augmented datasets could allow for increased application of MRE images.
Goal(s): Our goal was to use a generative adversarial network to produce artificial brain stiffness maps which could be controlled to appear like true images from younger and older adults.
Approach: A generative adversarial network was trained on a dataset of neurologically healthy subjects to create a model capable of generating artificial brain stiffness maps.
Results: The generated images demonstrated similar characteristics to true images from the corresponding age group.
Impact: This work demonstrates that a generative adversarial network can produce realistic brain stiffness images. Improvements to this technique will allow for these images to be used alongside true MRE images to support computational modeling efforts which utilize brain stiffness information.
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