Brain development involves a sequence of structural changes from early stages
of the embryo until several months after birth. Currently, ultrasound is the
established technique for screening due to its ability to acquire dynamic
images in real-time without radiation and to its cost-efficiency. However,
identifying abnormalities remains challenging due to the difficulty in
interpreting foetal brain images. In this work we present a set of 104 2D
foetal brain ultrasound images acquired during the 20th week of gestation that
have been co-registered to a common space from a rough skull segmentation. The
images are provided both on the original space and template space centred on
the ellipses of all the subjects. Furthermore, the images have been annotated
to highlight landmark points from structures of interest to analyse brain
development. Both the final atlas template with probabilistic maps and the
original images can be used to develop new segmentation techniques, test
registration approaches for foetal brain ultrasound, extend our work to
longitudinal datasets and to detect anomalies in new images.

该研究聚焦于使用超声技术获取 2D 胎儿脑部图像，提供了一个共同空间中的模板和注释图像用于分析脑发育，检测异常，并开发新的分割技术和配准方法。