Department of Obstetrics and Gynecology, University Hospital Bern, Effingerstrasse 102, Bern CH-3010, Switzerland.
Ultrasound Obstet Gynecol. 2009 Sep;34(3):259-67. doi: 10.1002/uog.6383.
In fetal ultrasound imaging, teaching and experience are of paramount importance to improve prenatal detection rates of fetal abnormalities. Yet both aspects depend on exposure to normal and, in particular, abnormal 'specimens'. We aimed to generate a number of simple virtual reality (VR) objects of the fetal central nervous system for use as educational tools.
We applied a recently proposed algorithm for the generation of fetal VR object movies to the normal and abnormal fetal brain and spine. Interactive VR object movies were generated from ultrasound volume data from normal fetuses and fetuses with typical brain or spine anomalies. Pathognomonic still images from all object movies were selected and annotated to enable recognition of these features in the object movies.
Forty-six virtual reality object movies from 22 fetuses (two with normal and 20 with abnormal brains) were generated in an interactive display format (QuickTime) and key images were annotated. The resulting .mov files are available for download from the website of this journal.
VR object movies can be generated from educational ultrasound volume datasets, and may prove useful for teaching and learning normal and abnormal fetal anatomy.
在胎儿超声成像中，教学和经验对于提高产前胎儿异常的检出率至关重要。然而，这两个方面都依赖于对正常的，特别是异常的“标本”的接触。我们旨在生成一些简单的胎儿中枢神经系统虚拟现实（VR）物体，用作教育工具。
我们应用了一种最近提出的生成胎儿 VR 物体电影的算法，用于正常和异常胎儿的大脑和脊柱。从正常胎儿和具有典型脑或脊柱异常的胎儿的超声体数据集生成交互式 VR 物体电影。从所有物体电影中选择并注释特征性的静态图像，以实现对这些特征在物体电影中的识别。
从 22 个胎儿（2 个正常和 20 个异常大脑）的 46 个虚拟现实物体电影中生成了交互式显示格式（QuickTime）的电影，并对关键图像进行了注释。由此产生的.mov 文件可从本刊网站下载。
可以从教育性超声体数据集生成 VR 物体电影，并且可能有助于教授和学习正常和异常胎儿解剖学。
