面向对象的医学图像分析数据流软件开发工具

M. S. Atkins, B. Johnston, T. Zuk, T. Arden
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引用次数: 0

摘要

新算法的开发人员通常需要一个交互式环境,在这个环境中,图像数据可以通过各种操作来传递,其中一些操作可能涉及反馈、同步、合并和条件控制策略。本文描述了一种称为WIT的图形面向对象软件开发工具的数据流方法如何极大地简化了我们的新图像配准和分割方法的原型设计和测试。WIT允许用户通过以类似cad的方式链接操作符来绘制数据流图。描述了WIT的主要特征,给出了两种医学图像分析算法的数据流图;PET扫描的三维配准到一个共同的坐标空间,以及MRI图像中的组织分割,我们正在研究肿瘤体积的定量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Object-oriented Dataflow Software Development Tool For Medical Image Analysis
Developers of new algorithms typically require an interactive environment in which the image data can be passed through various operators, some of which may involve feedback, synchronization, merging and conditional control strategies. This paper describes how the dataflow methodology of a pictorial object-oriented software development tool called WIT has greatly simplified the prototyping and testing of our new image registration and segmentation methods. WIT allows the user to draw a dataflow graph by linking operators in a CAD-like manner. We describe the main features of WIT, and show dataflow graphs for two medical image analysis algorithms; the 3D registration of PET scans into a common coordinate space, and tissue segmentation in MRI images where we are looking at quantitation of tumour volumes.
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