POPULATION-BASED 4D CARDIAC ATLAS OF MOUSE

基于群体的小鼠 4D 心脏图谱

• 批准号: 7726176
• 负责人: RAIMOND Lester WINSLOW
• 金额: $ 0.65万
• 依托单位: DUKE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-09-01 至 2009-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7726176
• 关键词: Address; Algorithms; Anatomic structures; Animals; Atlases; Brain; Cardiac; Characteristics; Computer Retrieval of Information on Scientific Projects Database; Computing Methodologies; Data; Disease; Funding; Grant; Heart; Image; In Vitro; Institution; Magnetic Resonance Imaging; Microscopic; Modeling; Mus; Placement; Population; Process; Property; Research; Research Personnel; Resolution; Resources; Science; Shapes; Source; Standards of Weights and Measures; Structure; System; Techniques; United States National Institutes of Health; Variant; base; in vivo; interest

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. This project is aimed at developing a normative population based 4D atlas of the mouse heart at high spatio-temporal resolution. Once generated, this imaging data would be used to quantify the morphological and functional variation within and between the populations. Additionally these data could potentially be used in automatic segmentation of cardiac images or to examine the disease process. Anatomical and functional variability is studied by placement of image data into a standard coordinate system. This achieved by utilizing registration algorithms that establish a one to one correspondence between the structures to be aligned. Such algorithms require addressing both the local shape differences and the variation in dynamic properties of the heart. Our collaborators in center for imaging science have developed mathematical and computational methods for comparison and statistical inference regarding anatomic structures in brain and in vitro animal heart model [1]. We would like to extend these techniques to capture dynamic characteristics of in vivo animal heart models as well. For preliminary experimentation we are focusing on collecting cine images of mouse heart acquired at near isotropic spatial resolution of 80 um or less with temporal resolution of 3-4 ms. We would be interested in both microCT and microscopic MR image data. With your contributon, we hope to be able to collect images at this resolution.

该副本是利用众多研究子项目之一 由NIH/NCRR资助的中心赠款提供的资源。子弹和 调查员（PI）可能已经从其他NIH来源获得了主要资金， 因此可以在其他清晰的条目中代表。列出的机构是 对于中心，这不一定是调查员的机构。 该项目的目的是在高时空分辨率下开发小鼠心脏的基于规范的4D地图集。一旦生成，这些成像数据将用于量化种群内部和人群之间的形态和功能变化。另外，这些数据可能可能用于自动分割心脏图像或检查疾病过程。 通过将图像数据放置在标准坐标系中，研究了解剖和功能可变性。通过利用注册算法来建立要对齐的结构之间的一对一对应关系来实现的。这种算法需要解决心脏的动态特性的局部形状差异和变化。我们在成像科学中心的合作者开发了数学和计算方法，用于比较大脑和体外动物心脏模型的解剖结构的比​​较和统计推断[1]。我们想扩展这些技术以捕获体内的动态特征 动物心脏模型也是如此。 对于初步实验，我们专注于收集以3-4毫秒的时间分辨率为80 um或更少的各向同性空间分辨率获得的小鼠心脏的电影图像。我们将对MicroCT和微观MR图像数据感兴趣。有了您的贡献，我们希望能够以此决议收集图像。