Shelton Damion, Stetten George, Aylward Stephen, Ibáñez Luis, Cois Aaron, Stewart Charles
Carnegie Mellon University, 214 Smith Hall, 5000 Forbes Avenue, Pittsburgh, PA 15213, USA.
Med Image Anal. 2005 Dec;9(6):605-11. doi: 10.1016/j.media.2005.04.011. Epub 2005 Jun 3.
We present several case studies which examine the role that the Insight Toolkit (ITK) played in three medical image analysis courses and several conference tutorials. These courses represent the first use of ITK in a teaching environment, and we believe that a discussion of the teaching approach in each case and the benefits and challenges of ITK will be useful to future medical image analysis course development. ITK was found to provide significant value in a classroom setting since it provides both working "canned" algorithms, including some recently developed methods that are unavailable elsewhere, as well as a framework for developing new techniques and applications. Several areas of difficulty, particularly in regards to code complexity and advanced object-oriented design techniques, have been identified which may make the learning curve of ITK somewhat more complex than a language such as Matlab.
我们展示了几个案例研究，这些研究考察了Insight Toolkit（ITK）在三门医学图像分析课程和几个会议教程中所起的作用。这些课程代表了ITK在教学环境中的首次使用，并且我们认为讨论每个案例中的教学方法以及ITK的优点和挑战将对未来医学图像分析课程的开发有所帮助。结果发现，ITK在课堂环境中提供了显著的价值，因为它既提供了可用的“现成”算法，包括一些其他地方无法获得的最新开发方法，还提供了一个用于开发新技术和应用程序的框架。已经确定了几个困难领域，特别是在代码复杂性和高级面向对象设计技术方面，这可能使ITK的学习曲线比Matlab等语言更为复杂。
