MEDICAL IMAGE PRESENTATION

在这一应用中，我们重点解决了三个临床问题 涉及手术或放射治疗的基于图像的计划和指导 用于治疗癌症。应用程序由三个部分组成 项目：1.影像引导下的脑肿瘤血管内栓塞术。 2.通过增强现实技术进行活组织检查。3.基于图集的分割算法 放射治疗计划。生物统计学的核心，设施也是 建议。 对于这些问题，医学图像提供了所需的信息 在外科医生或放射治疗师的计划或计划中从三维角度指导他们 执行程序。这些图像来自许多医疗设备， 是投影的、3D的或层析的，并且是静态的或实时的。 计划或指导治疗包括提取、识别、 定义和3D显示符合以下条件的解剖或生理对象 要么是治疗的目标，要么是 治疗光束、手术刀、针或其他装置。通常情况下 演示融合了来自多个成像模式的信息。一些人 方法需要在术中融合显示，融合视觉和 患者的医学成像视图。所有的方法都需要 交互时间显示控制，需要进一步开发 融合提取的对象、模型和图像的交互式3D显示 来自一个或多个模式的强度以及选择用于 基于解剖关系的显示。 一类基于图形对象的图像分析方法形成了一种通用的 支持开发用于基于图像的 手术或放射治疗的计划或指导。这些图像分析 方法已经允许医学进步，并得到进一步发展 在这些项目中。它们结合了以前可用的方法 可变形等高线、图形和中间描述，并添加 稳定性的关键因素和对不相关细节的不敏感性 基于中间测量(交叉图形边界连接)和 孔径与宽度成正比。 拟议的研究将产生方法和系统，使 A)脑血管可视化方面的重大进展 神经外科计划的指导，b)超声波的准确性- 在医生能够携带的范围内进行引导的乳房和肝脏活检 走出这一程序，并在服从图像制导的目标范围内 针刺活组织检查和手术，以及c)3D辐射的可用性 由于大大提高了治疗计划的速度和可重复性 对象定义。这些方法和系统将在广泛的范围内使用 涉及计划或指导的各种其他临床问题 治疗，展示和图像分析技术将是 可扩展到需要对象定义和3D/2D的许多其他问题 注册。

In this application, we focus on the solution of three clinical problems involving image based planning and guidance of surgery or radiotherapy for the treatment of cancer. The application consists of three projects: 1. Image guided endovascular embolization of cranial tumors. 2. Biopsy via augmented reality. 3. Atlas-based segmentation for radiotherapy planning. Cores in Biostatistics, Facilities are also proposed. For these problems, medical images provide the information needed to guide the surgeon or radiotherapist in three dimensions as they plan or carry out the procedure. These images come from many modalities that are projective, 3D or tomographic and that are static or real-time. Planning or guiding the treatment involves the extraction, recognition, definition, and 3D display of anatomic or physiologic objects that are either the targets of the treatment or are to be avoided by the treatment beam, scalpel, needle, or other device. Frequently the presentations fuse information from multiple imaging modalities. Some methods require fused display in intraoperative time, fusing visual and medical imaging views of the patient. All of the methods require display control in interactive time, requiring the further development of interactive 3D display fusing extracted objects, models, and image intensities from one or more modalities and selecting structures for display based on anatomical relations. A class of figural object-based image analysis methods form a common support to the development of the approaches used for the image-based planning or guidance of surgery or radiotherapy. These image analysis methods have already allowed medical advances and are developed further in these projects. They combine previously available methods of deformable contours, figural graphs, and medial description and add a critical factor of stability and insensitivity to irrelevant detail based on medial measurement (cross-figural boundary linkage) with an aperture proportional to width. The proposed research will produce methods and systems that will allow significant advances a) in visualization of cerebral vasculature for neurosurgical planning an guidance, b) in the accuracy of ultrasound- guided breast and liver biopsy, in the range of physicians able to carry out this procedure, and in the range of targets amenable to image-guided needle biopsy and surgery, and c) in the availability of 3D radiation treatment planning due to greatly increased speed and repeatability of object definition. These methods and systems will be usable in a wide variety of other clinical problems involving planning or guidance of therapy, and the display and image analysis techniques will be extendible to many other problems requiring object definition and 3D/2D registration.