The CT datasets can be downloaded and also available for download are manual labellings on this dataset of the atria wall and chamber. Also avaiiable are MRI datasets along with their manual labellings
The images included in the challenge consists of MRI (n=10) and CT (n=10) datasets. The MRI images are acquired at 1.4 mm isotropic resolution. The CT images are acquired at 0.5 mm in-plane resolution with a slice thickness of 1 mm. Please see this page more information.
The dataset was also featured in a Data Segmentation Challenge. It might help to read FAQ on the challenge objectives.
The Medical Image Analysis Journal publication on this dataset is now published and free open-text with DOI: 10.1016/j.media.2018.08.004
I chaired the STACOM-SLAWT workshop along with Prof. Kawal Rhode. The challenge papers published in DBLP contains several algorithms proposed for segmenting wall thickness and pixels from this dataset
Here is our old is our call to the challenge.
The workshop was part of the Statistical Modelling and Computational Modeling 2016 MICCAI workshop held during the MICCAI 2016. STACOM is supported by the cardiac atlas project. MICCAI 2016 took place 17th to 21st October 2016 in Athens, Greece.
The final programme can now be downloaded here