Chen, J;
Yang, G;
Gao, Z;
Ni, H;
Angelini, E;
Mohiaddin, R;
Wong, T;
... Firmin, D; + view all
(2018)
Multiview two-task recursive attention model for left atrium and atrial scars segmentation.
In: Frangi, Alejandro and Alberola-Lopez, Carlos and Porras, Antonio R, (eds.)
Medical Image Computing and Computer Assisted Intervention (MICCAI 2018).
(pp. pp. 455-463).
Springer: Cham, Switzerland.
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Abstract
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.
| Type: | Proceedings paper |
|---|---|
| Title: | Multiview two-task recursive attention model for left atrium and atrial scars segmentation |
| Event: | 21st International Conference on Medical Image Computing and Computer Assisted Intervention Conference (MICCAI 2018), 16-20 September 2018, Grenada, Spain |
| ISBN-13: | 978-3-030-00933-5 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1007/978-3-030-00934-2_51 |
| Publisher version: | https://doi.org/10.1007/978-3-030-00934-2_51 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Mathematics |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10069305 |
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