Overview
NEWS
21st of February 2023
Part of the training dataset is available
31st of March 2023
The full training dataset will be available
30th of April 2023
The full testing dataset will be available
MRI cardiac segmentation remains a medical imaging challenge with no satisfying current solution available for the clinic neither in commercial or open-source software. In addition to the intrinsic challenge of analysing cardiac images, the main difficulties encountered in clinical routine are:
We hypothesize that such a database will allow us to identify the most efficient segmentation methods that may be used in daily clinical routine.
- the limited time to perform the acquisitions which can lead to decreased quality of the acquired images and the presence of artefacts;
- the use of different MRI equipment which leads to an intrinsic variability in the properties of the images to be analysed;
- the evolution over time of the patho-physiology of the heart following treatment (over several weeks, months, years).
We hypothesize that such a database will allow us to identify the most efficient segmentation methods that may be used in daily clinical routine.