Multiview Two-Task Recursive Attention Model for Left Atrium and Atrial Scars Segmentation

by   Jun Chen, et al.

Late Gadolinium Enhanced Cardiac MRI (LGE-CMRI) for detecting atrial scars in atrial fibrillation (AF) patients has recently emerged as a promising technique to stratify patients, guide ablation therapy and predict treatment success. Visualisation and quantification of scar tissues require a segmentation of both the left atrium (LA) and the high intensity scar regions from LGE-CMRI images. These two segmentation tasks are challenging due to the cancelling of healthy tissue signal, low signal-to-noise ratio and often limited image quality in these patients. Most approaches require manual supervision and/or a second bright-blood MRI acquisition for anatomical segmentation. Segmenting both the LA anatomy and the scar tissues automatically from a single LGE-CMRI acquisition is highly in demand. In this study, we proposed a novel fully automated multiview two-task (MVTT) recursive attention model working directly on LGE-CMRI images that combines a sequential learning and a dilated residual learning to segment the LA (including attached pulmonary veins) and delineate the atrial scars simultaneously via an innovative attention model. Compared to other state-of-the-art methods, the proposed MVTT achieves compelling improvement, enabling to generate a patient-specific anatomical and atrial scar assessment model.


page 6

page 7


Simultaneous Left Atrium Anatomy and Scar Segmentations via Deep Learning in Multiview Information with Attention

Three-dimensional late gadolinium enhanced (LGE) cardiac MR (CMR) of lef...

Atrial fibrosis quantification based on maximum likelihood estimator of multivariate images

We present a fully-automated segmentation and quantification of the left...

Combating Uncertainty with Novel Losses for Automatic Left Atrium Segmentation

Segmenting left atrium in MR volume holds great potentials in promoting ...

Denoising Arterial Spin Labeling Cerebral Blood Flow Images Using Deep Learning

Arterial spin labeling perfusion MRI is a noninvasive technique for meas...

Please sign up or login with your details

Forgot password? Click here to reset