Visualization of Multi-Resolution Reconstructions Using Interactive Stereoscopy

使用交互式立体视觉进行多分辨率重建的可视化

• 批准号: 7495124
• 负责人: ARKADIUSZ SITEK
• 金额: $ 17.5万
• 依托单位: BRIGHAM AND WOMEN'S HOSPITAL
• 依托单位国家: 美国
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-09-10 至 2010-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7495124
• 关键词: Algorithms; Clinic; Clinical; Clinical Data; Clip; Computer Graphics; Computer Simulation; Computer software; Computers; Data; Depth; Detection; Development; Devices; Discipline of Nuclear Medicine; Feedback; Goals; Human; Image; Image Analysis; Imagery; Lesion; Lighting; Location; Medical Imaging; Methods; Modeling; Motivation; Numbers; Optics; Performance; Physicians; Positioning Attribute; Positron-Emission Tomography; Qualitative Evaluations; Receiver Operating Characteristics; Resolution; Retinal Cone; Scanning; Sensitivity and Specificity; Slice; Standards of Weights and Measures; Techniques; Three-Dimensional Image; Three-Dimensional Imaging; Validation; Work; attenuation; base; clinical Diagnosis; design; image reconstruction; image visualization; improved; multidisciplinary; novel; reconstruction; size; stereoscopic; tomography; tool

Historically, nuclear medicine imaging has been done using 2D views. With the advent of computers and tomography, 3D images were acquired and stored in regular arrays of voxels. Although a logical extension from 2D, representation of a 3D object as a stack of 2D images may not be optimal for lesion detection. This is because voxels with rectangular geometry do not accurately approximate the geometry of the imaged objects. This mismatch is especially significant for nuclear medicine studies where degrading physical factors force the images to be reconstructed on grids that consist of large cubic voxels. Considering that the lesions are small and may be comparable in size to voxels, the inadequacy of cubic voxel approach becomes evident. Our hypothesis is that by using the multi-resolution image representation proposed in this work, the images can be reconstructed and presented more accurately and efficiently than using the regular grids, thus resulting in lesion detection improvement using FDG-PET. We chose to represent the image as a set of points in space (point cloud) with unrestricted locations and intensities assigned to each point (node) with volume represented by a set of non-overlapping tetrahedrons defined by the nodes. The selection of this representation was dictated by two factors. First, each image will have its own grid that will be designed to accurately and efficiently represent each image. By using unrestricted node positions, a geometry with arbitrary local resolution that varies across the image volume can be modeled. Second, the tetrahedral geometry of the image will take advantage of recent revolutionary progress in computer graphics hardware in order to use advanced visualization techniques for stereoscopic interactive 3D visualization of the imaging data. The work proposed here will create a framework for voxel-less multi- resolution representation of the image in nuclear medicine. It includes multidisciplinary development of the tomographic reconstruction and stereoscopic visualization methods using medical imaging and computer graphics. The work involves design and creation of software for reconstruction and stereoscopic display of tetrahedron based images and evaluation against human observers for the lesion detection task.

从历史上看，核医学成像已经使用2D视图完成。的到来 计算机和断层扫描，3D图像被采集并存储在规则的阵列中， 体素虽然是2D的逻辑扩展，但将3D对象表示为 2D图像可能不是病变检测的最佳选择。这是因为具有 矩形几何形状不能精确地近似成像的几何形状 对象这种不匹配对于核医学研究尤其重要， 退化的物理因素迫使图像在网格上重建， 大立方体体素。考虑到病变较小， 尺寸到体素，立方体素方法的不足变得明显。我们的假设 通过使用本工作中提出的多分辨率图像表示， 图像可以被重建和呈现得比使用 规则的网格，从而导致使用FDG-PET的病变检测的改进。我们 选择将图像表示为空间中的一组点（点云）， 分配给每个点（节点）的位置和强度，其中体积由集合表示 由节点定义的不重叠的四面体。选择该 代表性取决于两个因素。首先，每个图像都有自己的网格， 将被设计为准确和有效地表示每个图像。通过使用 不受限制的节点位置，具有任意局部分辨率的几何形状， 可以对图像体积进行建模。第二，图像的四面体几何形状将 利用计算机图形硬件的最新革命性进展， 使用先进的可视化技术进行立体交互式三维可视化， 成像数据。这里提出的工作将创建一个框架，无体素多， 核医学中图像的分辨率表示。它包括多学科 断层重建和立体可视化方法的发展 使用医学成像和计算机图形。这项工作涉及设计和创造 用于基于四面体图像的重建和立体显示的软件， 针对病变检测任务的人类观察者的评估。