SOFTWARE ENVIRONMENT FOR MEDICAL IMAGE SEGMENTION

本研究的主要目标是开发一个开放的、可扩展的 医学图像分割软件环境。 图像分割 在医学成像中有许多应用，包括肿瘤定位， 和放射治疗计划;然而，其目前的使用福尔斯远远不够 它的潜力。 其中一个原因是缺乏对形象的支持 在商业上可用的通用软件工具中的分割。 我们提出的研究将通过提供一个 软件环境将包括各种最先进 分割算法，它将是可扩展的，以便用户可以添加 新的算法很容易。我们的软件环境将进一步细分 算法研究，为图像提供基础设施 分割算法开发，如图像显示工具， 感兴趣区域选择、手动分割和算法 评估，以及用于分割的数据结构。 同相 我的这项研究，我们已经开发出这样一个软件的原型 环境中使用软件工程的最新进展。 在第二阶段 我们将进一步开发原型，以生产一个功能齐全的软件， 系统 我们将设计和添加新的分割算法， 算法评估能力。我们还将应用软件 三个重要的医学问题，其中可靠的图像分割是 的关键要求。 拟议的商业应用： 我们设想从这项研究的产品几个家庭：（l）软件 用于解决特定医疗问题的应用程序，针对临床 专家。(2)临床通用分割程序 通才，与开发基础设施工具包结合使用， 软件供应商和算法研究人员。(3)软件部件以用于 供软件供应商用于向其映像添加分割功能 处理软件。(4)添加软件模块

The main goal of this research is to develop an open and extensible software environment for medical image segmentation. Image segmentation has many applications in medical imaging, including tumor localization, and radiation therapy planning; however its current use falls far short of its potential. One reason for this is the lack of support for image segmentation in commercially available general-purpose software tools. Our proposed research will overcome this limitation by providing a software environment will include a wide variety of state-of-the-art segmentation algorithms, and it will be extensible so that users can add new algorithms easily. Our software environment will further segmentation algorithm research by providing the basic infrastructure for image segmentation algorithm development, such as tools for image display, region-of-interest selection, manual segmentation, and algorithm evaluation, as well as the data structures for segmentation. In Phase I of this research, we have developed a prototype of such a software environment using recent advances in software engineering. In Phase II we will further develop the prototype to produce a full-featured software system. We will design and add new segmentation algorithms and expand the algorithm evaluation capabilities. We will also apply the software to three important medical problems where reliable image segmentation is the key requirement. PROPOSED COMMERCIAL APPLICATIONS: We envision several families of products from this research: (l) Software applications for solving specific medical problems, targeted to clinical specialists. (2) General-purpose segmentation program for clinical generalists, to be combined with a develop infrastructure kit for use by software vendors and algorithm researchers. (3) Software components for use by software vendors to add segmentation capabilities to their image processing software. (4) Add in Software Modules