The left atrial appendage (LAA) is the site where the left atrial thrombi are most likely (90%) to develop. Despite the increasing interest that LAA has attracted over the last decade, the methods currently used to classify its morphology are mainly based on cardiologists’ judgment. Given the remarkable improvement of imaging techniques, we propose an unsupervised quantitative method that can overcome the limits of the current classification systems. The resulting classification system is objective and reproducible.
Vincenzo Martorana, Matthew Lee, Giorgia M. Bosi, Gaetano Burriesci, Claudia Coronnello, Michele Tumminello (2023). An Unsupervised Method to Detect the Left Atrial Appendages and Classify their Morphologies. In ESB2023 28th Congress of the European Society of Biomechanics : Book of abstracts.
An Unsupervised Method to Detect the Left Atrial Appendages and Classify their Morphologies
Vincenzo Martorana
Primo
Methodology
;Gaetano Burriesci;Michele Tumminello
2023-07-01
Abstract
The left atrial appendage (LAA) is the site where the left atrial thrombi are most likely (90%) to develop. Despite the increasing interest that LAA has attracted over the last decade, the methods currently used to classify its morphology are mainly based on cardiologists’ judgment. Given the remarkable improvement of imaging techniques, we propose an unsupervised quantitative method that can overcome the limits of the current classification systems. The resulting classification system is objective and reproducible.File | Dimensione | Formato | |
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