We designed a slab-encoding RF pulse set, referred to as DeepSlider, using deep reinforcement learning to improve the robustness and performance. The condition number of the RF encoding matrix, which determines the sensitivity of the design to noise, was optimized via deep reinforcement learning and gradient descent. Additionally, the design was extended from reconstructing the real signal to the complex signal, allowing us to utilize the complex signal instead of the real part, expanding the application of the pulse to phase-based imaging.
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