The content of the project is to provide an automatic valve segmentation with features for manual post-processing in order to optimally support the physician in planning and performing surgery. The automatic valve segmentation will be performed using current methods of “deep learning”. According to the current state of research, these methods provide excellent results in the field of image segmentation. Quantifications of the valve geometry can be generated on a patient-specific basis after completion of the project. This allows for a more accurate and comprehensive characterization of the presenting clinical picture.
A Novel Calibration Phantom for Combining Echocardiography with Electromagnetic Tracking Inproceedings
Proc. of CURAC, 2020.