Fetal Tissue Annotation Dataset FeTA
Creators
- 1. Center for MR-Research, University Children's Hospital Zürich
Contributors
Project leader:
Project manager:
- 1. Center for MR Research, University Children's Hospital Zurich
- 2. Diagnostic Imaging, University Children's Hospital Zurich
- 3. University of Debrecen, Hungary
- 4. Newborn Research Zurich, Department of Neonatology, University Hospital and University of Zurich, Zurich, Switzerland
Description
The Fetal Tissue Annotation Dataset (FeTA) consist of manually annotated, T2-weighted, super-resolution reconstructed fetal cerebral magnetic resonance images. It is a mixture of normally developing cases and pathologies. The dataset is a valuable source for developing automated image segmentation algorithms as it provides open source MRI data and expert manual annotations, which is a particularly time consuming process. Each fetal brains were labeled for 7 tissue categories: grey matter, white matter, external CSF spaces, ventricle system, deep gray matter, cerebellum and brainstem.
From May 2021, access to the FeTA dataset is only possible on the Synapse platform. We released the second version with 80 cases, which must be used for participants of the MICCAI Fetal Tissue Annotation Challenge in 2021. Please visit the following sites for further information:
https://feta-2021.grand-challenge.org/
https://www.synapse.org/#!Synapse:syn25649159/wiki/610007
Background
Congenital disorders are one of the leading causes of infant mortality worldwide. Recently, fetal MRI has started to emerge as a valuable tool for investigating the neurological development of fetuses with congenital disorders in order to aid in prenatal planning. Moreover, fetal MRI is a powerful tool to portray the complex neurodevelopmental events during human gestation, which remain to be completely characterized. Automated segmentation and quantification of the highly complex and rapidly changing brain morphology in MRI data would improve the diagnostic process, as manual segmentation is both time consuming and prone to human error and inter-rater variability. The automatic segmentation of the developing human brain would be a first step in being able to perform such an analysis. The FeTA Dataset and the Challenge we plan to organize are important steps in the development of reproducible methods of analyzing high resolution MR images of the developing fetal brain. Such new algorithms will have the potential to better understand the underlying causes of congenital disorders and ultimately to support decision-making and prenatal planning.
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TERMS OF USE
This is an agreement (“Agreement”) between you the downloader (“Downloader”) and the owner of the materials (“User”) governing the use of the Fetal Tissue Annotation Dataset ("Materials") to be downloaded.
I. Acceptance of this Agreement
By downloading or otherwise accessing the Materials, the Downloader represents his/her acceptance of the terms of this Agreement.
II. Data ownership
The owner of the Materials is the University Children’s Hospital Zurich.
III. Use of the Materials
Materials is used for research and education. Any other kind of use you will lead to recall of all datasets, stop of collaboration and legal consequences.
This Agreement represents the entire agreement between Downloader and User with respect to the downloading and use of the Materials, and supersedes all prior or contemporaneous communications and proposals (whether oral, written or electronic) between Downloader and User with respect to downloading or using the Materials.
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Additional details
Related works
- Is cited by
- Preprint: https://arxiv.org/abs/2010.12391 (URL)
- Is documented by
- Preprint: https://arxiv.org/abs/2010.15526 (URL)