Search results for "Cardiac MRI Late Gadolinium Enhancement MRI Left Atrium Scar quantification Segmentation Deep learning PolyLoss Uncertainty"

Using Polynomial Loss and Uncertainty Information for Robust Left Atrial and Scar Quantification and Segmentation

2022

Automatic and accurate segmentation of the left atrial (LA) cavity and scar can be helpful for the diagnosis and prognosis of patients with atrial fibrillation. However, automating the segmentation can be difficult due to the poor image quality, variable LA shapes, and small discrete regions of LA scars. In this paper, we proposed a fully-automatic method to segment LA cavity and scar from Late Gadolinium Enhancement (LGE) MRIs. For the loss functions, we propose two different losses for each task. To enhance the segmentation of LA cavity from the multicenter dataset, we present a hybrid loss that leverages Dice loss with a polynomial version of cross-entropy loss (PolyCE). We also utilize …