This dataset is the training dataset for the biometry task of FeTA Challenge held at the MICCAI 2024 Conference (Task 2). This derived dataset contains biometric measurement masks of five anatomical regions done on T2-weighted fetal brain super-resolution reconstructions: 0. Non-relevant 1. Height of the vermis 2. Length of the corpus callosum 3. Brain biparietal diameter 4. Skull biparietal diameter 5. Tranverse cerebellar diameter The data are released along a transform file that can be used to re-align the reconstructed T2w images into the plane that was used to execute the biometry. The goal of this dataset is to encourage research groups to develop automated biometry methods that are robust across a range of gestational agesm, multiple centers, a variety of brain pathologies as well as normally developing fetal brains. See fetachallenge.github.io for more details, and to register for the FeTA Challenge. Read carefully the README.md file for further details. If you use this dataset, please cite this repository 10.5281/zenodo.11192452.

This challenge was supported by the following funding: 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) The Swiss National Science Foundation (215641) and the ERA-NET Neuron MULTI-FACT project (SNSF 31NE30 203977) (Margaux Roulet, Vlad Zalevskyi, Thomas Sanchez, Meritxell Bach Cuadra).