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将产生人类解剖结构的非常高分辨率模型的方案，重点是骨骼和软骨的复合物，并具有辅助软组织。鉴于以前的技术局限性，这将仅在最近获得一定程度的分辨率。可见的人类项目（VHP）是使用串行横截面来构建体素模型的首次演示。但是，尽管VHP代表了具有里程碑意义的努力，但它遭受了与分辨率和细分有关的问题。这些问题是冻结过程和冷冻的固有的。裸露的表面太粗糙了，无法进行高分辨率成像。需要持续开发各种人类解剖结构的高分辨率模型，以增强数字图像档案，并增强当前对人类总体和微观解剖结构的了解。 拇指，腕足关节（CMC）及其相关的软组织的人类基础关节将成为我们的重点。处理将需要将样品嵌入介质中，以保留组织的颜色并保留软组织关系而不会失真。嵌入式部分将在非常细的横截面中串行地面，并拍摄每个横截面。获得的数字摄影数据将重建为颜色体素模型。然后，这些颜色体素模型将被蒙饰成一个大型体素模型。数据将从微CT扫描，微MRI扫描和薄横截面微填料中收集。这些数据集将被比较并合并以开发几种可视化方法。微CT扫描分辨率取决于扫描样品的大小；微MRI都取决于样品的大小和磁铁发育的进展。出于我们的目的，切片将按10-201J的顺序。 CT和MR扫描将以物理微切接收。我们将开发软件协议以准确的针迹部分合在一起，形成比仅当一种方法学时的目前可能的更高的分辨率模型。所有检查的协议将被评估并合并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增长结合，为解剖学可视化提供了新的学习环境。教育和社会利益是显着的。与多个三维结构相互作用的能力有助于概念化准确的解剖模型的准确性和效率。这些含义包括更好地理解非常常见的基础关节关节炎的流行病学，更好地建模，用于开发非手术和手术的治疗，以及更好的治疗结果。此外，它将可以更好地理解不同年龄和种族中CMC关节的解剖结构，并从物理人类学的角度更好地理解比较解剖结构。这为在其他解剖站点和器官系统中开发类似的高分辨率模型打开了大门。