MEDICAL IMAGE PRESENTATION

在这个应用中，我们着重于三个临床问题的解决 涉及基于图像的手术或放射治疗的计划和引导 用于治疗癌症。 该应用程序包括三个 项目：1.颅骨肿瘤的图像引导血管内栓塞。 2.通过增强现实进行活检 3.基于数据库的分割， 放射治疗计划 生物统计学的核心，设施也 提出了 对于这些问题，医学图像提供了所需的信息， 引导外科医生或放射治疗师在他们计划或 执行程序。 这些图像来自许多模态， 是投影的、3D的或断层摄影的，并且是静态的或实时的。 计划或指导治疗涉及提取，识别， 定义和3D显示解剖或生理对象， 或者是治疗的目标，或者是要避免的， 治疗束、手术刀、针或其它装置。 频繁 呈现融合来自多个成像模态的信息。 一些 方法需要在术中时间内融合显示，融合视觉和 患者的医学成像视图。 所有的方法都需要 交互时间的显示控制，需要进一步开发 交互式3D显示融合提取的对象，模型和图像 强度从一个或多个模态和选择结构， 基于解剖学关系的显示。 一类基于图形对象的图像分析方法， 支持制定用于基于图像的 计划或指导手术或放射治疗。 这些图像分析 方法已经允许医学进步，并进一步发展 在这些项目中。 它们结合了联合收割机以前可用的方法， 可变形轮廓、图形和内侧描述，并添加 稳定性和对无关细节不敏感的关键因素 基于内侧测量（交叉图形边界连接）， 孔径与宽度成比例。 拟议的研究将产生的方法和系统， a）在脑血管可视化方面的重大进展， 神经外科计划指导，B）超声的准确性- 引导乳腺和肝脏活检，在医生能够携带的范围内 在这个过程中，在目标的范围内， 针吸活检和手术，以及c）3D辐射的可用性 治疗计划由于大大提高了速度和可重复性， 对象定义 这些方法和系统将可广泛用于 涉及计划或指导的各种其他临床问题 治疗，显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 登记

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.