Left atrial appendage (LAA) occlusion is used to reduce the risk of thromboembolism in patients with nonvalvular atrial fibrillation by obstructing the LAA through a percutaneously delivered device. Nonetheless, correct device sizing is complex, requiring the manual estimation of different measurements in preprocedural/periprocedural images, which is tedious and time-consuming and with high interobserver and intraobserver variability. In this project, automated strategies to segment the 3D surface of the LAA in 3D transesophageal echocardiographic images (TEE) and to estimate the required relevant clinical measurements to detect the optimal implant size are explored.
In this project, automated strategies to segment the 3D surface of the LAA in 3D transesophageal echocardiographic images (TEE) and to estimate the required relevant clinical measurements to detect the optimal implant size are explored.
Overall, the developed solution showed its potential for fast and robust estimation of the clinical measurements for occluding device selection, proving its added value for clinical practice.
Segmentation Strategy:
Segmentation Result:
More info: Morais P., Queirós S., Meester PD, Budts W., Vilaça JL., Tavares JMRS, D’hooge J., Fast Segmentation of the Left Atrial Appendage in 3D Transesophageal Echocardiographic Images. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, in press. DOI: https://doi.org/10.1109/TUFFC.2018.2872816
Identification of the clinical metrics:
More info: Morais P, Vilaça JL, Queirós S, Meester P, Budts W, Tavares J, D’hooge J. Semi-Automatic Estimation of Device Size for Left Atrial Appendage Occlusion in 3D TEE images. IEEE transactions on ultrasonics, ferroelectrics, and frequency control (2019) DOI: https://doi.org/10.1109/TUFFC.2019.2903886