Abstract
Assessment of the left atrial (LA) wall can provide valuable information for treatment of atrial fibrillation (AF) patients. In this work, we propose a fully automatic workflow to segment the atrial wall from contrast-enhanced CT angiography (CTA). The workflow consists of 3 steps: (1) global segmentation of LA by multi-atlas image registration approach, (2) selected enhancement of the atrial wall by nonlinear intensity transformation, (3) segmentation of the inner and outer boundary of atrial wall by level-set approach.
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Tao, Q., Shahzad, R., Berendsen, F. F., & van der Geest, R. J. (2017). Automatic left atrial wall segmentation from contrast-enhanced CT angiography images. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10124 LNCS, pp. 220–227). Springer Verlag. https://doi.org/10.1007/978-3-319-52718-5_24
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