Segmentation Challenge on the Quantification of Left Atrial Wall Thickness
This paper presents an image database for the Left Atrial Wall Thickness Quantification challenge at the MICCAI STACOM 2016 workshop along with some preliminary results. The image database consists of both CT (\(n=10\)) and MRI (\(n=10\)) datasets. Expert delineations from two observers were obtained for each image in the CT set and a single-observer segmentation was obtained for each image in the MRI set included in this study. Computer algorithms for segmentation of wall thickness from three research groups contributed to this challenge. The algorithms were evaluated on the basis of wall thickness measurements obtained from the segmentation masks.
KeywordsImage segmentation Left atrium CT Angiography MRI Image quantification
This research was supported by the National Institute for Health Research (NIHR) Biomedical Research Centre at Guy’s and St Thomas’ NHS Foundation Trust and King’s College London. The views expressed are those of the author(s) and not necessarily those of the NHS, the NIHR or the Department of Health.
- 8.Whitaker, J., Rajani, R., Chubb, H., Gabrawi, M., Varela, M., Wright, M., Niederer, S., O’Neill, M.D.: The role of myocardial wall thickness in atrial arrhythmogenesis. Europace, euw014 (2016)Google Scholar
- 9.Varela, M., Kolbitsch, C., Theron, A., Morgan, R., Henningsson, M., Schaeffter, T., Aslanidi, O.: 3D high-resolution atrial wall thickness maps using black-blood psir. J. Cardiovasc. Magn. Reson. (Suppl.) 17 (2015). Society of Magnetic Resonance Imaging (SCMR)Google Scholar