Fetal Tissue Annotation and Segmentation Challenge (FeTA), MICCAI 2022¶

The Fetal Tissue Annotation and Segmentation Challenge (FeTA) is a multi-class, multi-institution image segmentation challenge part of MICCAI 2022. The goal of FeTA is to develop generalizable automatic multi-class segmentation methods for the segmentation of developing human brain tissues that will work with data acquired at different hospitals.  The challenge provides manually annotated, super-resolution reconstructed MRI data of human fetal brains which will be used for training and testing automated multi-class image segmentation algorithms.

In FeTA 2021, we used the first publicly available dataset of fetal brain MRI to encourage teams to develop automatic brain tissue segmentation algorithms. This year, FeTA 2022 takes it to the next level by launching a multi-center challenge for the development of image segmentation algorithms that will be generalizable to different hospitals with unseen data. We will include data from two institutions in the training dataset, and there will be the same two institutions in the testing dataset PLUS data from two additional institutions not presented in the training dataset.

Such new algorithms will have the potential to contribute to our understanding of the developing normal and pathological human brain across hospitals and research institutions worldwide

The full challenge design can be found here: Fetal Tissue Annotation Challenge | Zenodo 

To participate, please click on 'Join' in the menu at the top.

Fetal 2022 Participants:¶

Congratulations to our FeTA 2022 Winning Teams:¶

1. FeTA -Imperial-TUM Team

2. FMRSK*

2. BlueBrune*

*tied

The slides from the presentation (including complete rankings) given at MICCAI 2022 can be found here: FeTA 2022 Presentation Slides

Important Dates:¶

Data Release: June 1, 2022

Docker Submission Deadline: July 17, 2022  Aug 3, 2022, 23:59 UTC

Algorithm Description Deadline: ** July 24, 2022 Aug 9, 2022, 23:59 UTC**

Notification of Presentations to top teams:**  ~~Sept 1, 2022   ~~**Sept 3, 2022 

Early Bird Registration for MICCAI: Aug 11, 2022 (MICCAI website: https://conferences.miccai.org/2022/en/default.asp)

FeTA 2022 Challenge Day: Sept 18, 2022

Acknowledgements¶

The project was supported by the Hasler Foundation (Kelly Payette), the University Research Priority Program "Adaptive Brain Circuits in Development and Learning (AdaBD" (Andras Jakab), the Novartis Foundation for Medical-Biological Research and the Prof.  Max Cloetta Foundation (Andras Jakab).

Reference

Please cite the following when using the FeTA dataset in your research:
Payette, K., de Dumast, P., Kebiri, H. et al. An automatic multi-tissue human fetal brain segmentation benchmark using the Fetal Tissue Annotation Dataset. Sci Data 8, 167 (2021). https://doi.org/10.1038/s41597-021-00946-3