Automated mitral valve vortex ring evolution analysis from magnetic resonance 4D flow data is feasible. However, time-consuming manual segmentation of the left ventricular blood pool represents a bottleneck. We simulated speed-up and variability of manual segmentation and analyzed the impact on vortex ring parameters. Automated mitral valve vortex ring extraction and analysis yielded robust results, even when applying the end-diastolic segmentation mask to all cardiac phases. Error analysis of vortex ring parameters showed that under-segmentation of the ventricular blood pool should be avoided. Speeding up segmentation by using only the end-diastolic mask enables clinical mitral valve vortex ring analysis studies.
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