Bergeron B P, Sato L, Rouse R L
Decision Systems Group, Brigham and Women's Hospital, Boston, MA 02115.
Comput Biol Med. 1994 Jan;24(1):11-8. doi: 10.1016/0010-4825(94)90033-7.
In computer-based medical education, there is frequently a need to present students with pictorial data representative of the natural variation associated with disease presentations as well as the progression of disease within an individual. Because of the difficulty in acquiring such data, image acquisition is often the most resource-intensive phase of multimedia courseware development. In light of the resource demands associated with image content, many courseware designers do not make opportune use of image data, but rely instead upon text descriptions to provide variation in content. The resulting lack of adequate pictorial content often lessens the overall impact of the courseware. To overcome constraints imposed by the difficulty in acquiring pictorial content of sufficient richness, a methodology of generating variation in visual teaching materials has been developed through the use of morphing. These techniques have general applicability in creating variation in pictorial teaching materials in a variety of image-intensive domains.
在基于计算机的医学教育中,经常需要向学生展示代表与疾病表现相关的自然变异以及个体疾病进展的图像数据。由于获取此类数据存在困难,图像采集通常是多媒体课件开发中资源消耗最大的阶段。鉴于与图像内容相关的资源需求,许多课件设计师没有恰当地利用图像数据,而是依赖文本描述来提供内容变化。由此导致的图像内容不足往往会降低课件的整体效果。为了克服因难以获取足够丰富的图像内容而带来的限制,已通过使用变形技术开发了一种在视觉教材中生成变化的方法。这些技术在各种图像密集型领域的图像教材变化创建中具有普遍适用性。