A 3-D Interactive Atlas of Thumb Carpometacarpal Joint

拇指腕掌关节 3D 交互式图谱

• 批准号: 6836792
• 负责人: WILLIAM Paul BROWN
• 金额: $ 10.8万
• 依托单位: BROWN AND HERBRANSON IMAGING
• 依托单位国家: 美国
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-07-01 至 2005-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6836792
• 关键词: bioimaging /biomedical imaging; bone imaging /visualization /scanning; computed axial tomography; computer program /software; computer system design /evaluation; digital imaging; hand; interactive multimedia; joints; magnetic resonance imaging; publications; sectioning; technology /technique development

DESCRIPTION (provided by applicant): The aim of this project is to develop protocols that will produce very high-resolution models of human anatomical structures, focusing on the composite of bone and cartilage with the supporting soft tissues. This will achieve a degree of resolution only recently available, given previous limitations of technology. The Visible Human Project (VHP) was the first demonstration of the use of serial cross sections to build voxel models; however, while the VHP represents a landmark effort, it suffers from problems related to resolution and segmentation. These problems are inherent in the freezing process and cryosectioning; the exposed surfaces are too rough for high-resolution imaging. Continued development of high-resolution models of various human anatomical structures is needed to augment digital-image archives and enhance current knowledge of human gross and microscopic anatomy. The human basal joint of the thumb, the carpometacarpal joint (CMC) and its associated soft tissues will be our focus. Processing will require embedding the specimen in a medium that preserves the color of tissues and preserves soft tissue relationships without distortion. The embedded sections will be serially ground in very fine cross section and each cross section photographed. The digital photographic data obtained will be reconstructed into color voxel models. These color voxel models will then be montaged into one large color voxel model. Data will be collected from micro CT scans, micro MRI scans, and thin cross section microgrinding. These data sets will be compared and combined to develop several methods of visualization. Micro CT scan resolution is dependent on the size of the sample being scanned; micro MRI dependent both upon the size of the sample and the advances in magnet development. For our purposes, the slices will be on the order of 10-201J. The CT and MR scans will be registered with the physical microsections. We will develop software protocols to accurately stitch sections together, forming higher resolution models than is currently possible when one methodology alone. All of the examined protocols will be evaluated and combined into an automated system to produce high-resolution voxel models of various anatomical structures. This unique combination of visualization methodology, in conjunction with exponential growth of computational power, promises a new learning environment for anatomical visualization. The educational and societal benefits are significant. The ability to interact with multiple three-dimensional structures contributes to the accuracy and efficiency of conceptualizing accurate anatomical models. The implications include better understanding of the epidemiology of the very common basal joint arthritis, better modeling for developing treatment, both nonoperative and operative, and better treatment outcomes. In addition, it will permit better understanding of the anatomy of the CMC joint in different age and ethnic groups, and a better understanding of comparative anatomy from the perspective of physical anthropology. This opens the door for developing similar high-resolution models in other anatomic sites and organ systems.

描述（由申请人提供）： 该项目的目的是开发能够生成非常高分辨率的人体解剖结构模型的协议，重点关注骨和软骨与支撑软组织的复合材料。鉴于之前的技术限制，这只能在最近才实现一定程度的解决方案。可见人类项目（VHP）是第一个使用串行横截面来构建体素模型的演示；然而，虽然 VHP 代表了一项里程碑式的成果，但它却遇到了与分辨率和分割相关的问题。这些问题是冷冻过程和冷冻切片所固有的；暴露的表面对于高分辨率成像来说太粗糙。需要继续开发各种人体解剖结构的高分辨率模型，以增强数字图像档案并增强当前对人体大体和微观解剖学的了解。 人类拇指的基底关节、腕掌关节（CMC）及其相关软组织将是我们的重点。处理需要将标本嵌入一种介质中，以保留组织的颜色并保留软组织关系而不变形。嵌入的部分将被连续研磨成非常精细的横截面，并对每个横截面进行拍照。获得的数字摄影数据将被重建为彩色体素模型。然后，这些彩色体素模型将被拼接成一个大的彩色体素模型。数据将从微型 CT 扫描、微型 MRI 扫描和薄横截面微研磨中收集。这些数据集将被比较和组合以开发几种可视化方法。显微 CT 扫描分辨率取决于所扫描样本的大小；微型 MRI 取决于样本的大小和磁体开发的进步。就我们的目的而言，切片大小约为 10-201J。 CT 和 MR 扫描将与物理显微切片进行注册。我们将开发软件协议来准确地将各个部分缝合在一起，形成比目前单独使用一种方法时更高分辨率的模型。所有检查的协议都将被评估并组合到一个自动化系统中，以生成各种解剖结构的高分辨率体素模型。 这种可视化方法的独特组合与计算能力的指数级增长相结合，为解剖可视化提供了一个新的学习环境。教育和社会效益是显着的。与多个三维结构交互的能力有助于概念化精确解剖模型的准确性和效率。其意义包括更好地了解非常常见的基底关节关节炎的流行病学，更好地建立非手术和手术治疗的模型，以及更好的治疗结果。此外，还将有助于更好地了解不同年龄和种族人群的CMC关节的解剖结构，并从体质人类学的角度更好地理解比较解剖学。这为在其他解剖部位和器官系统中开发类似的高分辨率模型打开了大门。