Keywords: Machine Learning/Artificial Intelligence, Cardiovascular, WorkflowWe propose an Artificial Intelligence-based single-click cardiac MR exam to support technicians and increase standardization and repeatability of cardiac exams, which we evaluate in a clinical setting with 44 patients. Automations include setting of the isocenter position, slice planning in standard and cardiac orientations, adjustment volume and inversion time. Clinical sequences that can be acquired without manual planning include CINE, STIR, T1 mapping, 3D MRA and LGE. 91% (n=40) of the acquisitions could be completed without manual operator intervention, with the majority (n=3) of failed cases caused by abnormal heart geometries leading to inadequate slice planning.
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