Reconstruction and Mapping of Human Brain Vasculature

描述(申请人提供)：在美国，脑血管疾病是导致死亡和长期残疾的主要原因。对人脑血管结构的详细了解对于将血流动力学与生理病理学联系起来非常重要，并有助于优化脑血管疾病的诊断和治疗。这项与加州大学洛杉矶分校计算生物学中心(CCB)的探索性合作将开发一个框架，用于从非侵入性磁共振血管成像(MRA)定量描述正常受试者的脑血管及其变异性。该项目围绕三个具体目标组织，大致对应于血管造影重建、分析和概率图谱： AIM1-对一套标准化的MRA进行数字化重建： A)根据正常受试者的MRA数据建立3D血管重建。 B)使用一系列可靠性测试来评估和验证血管重建。 AIM2--统计形态计量分析： A)描述大脑动脉结构的几何学和分支拓扑学。 B)进行统计分析，以确定血管结构特征的对象间变异性，并测试男性与女性以及左右半球之间的差异。 目的3-概率血管造影图谱：a)使用CCB注册管道构建脑血管图谱，并与CCB脑图谱的其他形式集成。 在该项目完成后，将通过CCB管道向科学界提供匿名原始图像堆栈、血管重建和形态测量特征。产生和传播的数据集和信息将具有广泛和极端的价值。公共卫生相关性：该项目旨在根据磁共振血管成像数据构建脑血管重建，并构建脑血管图谱。该项目中产生和传播的算法和数据将对更好地理解中风和动脉瘤等脑血管疾病的发生、发展和结局所涉及的机制具有广泛和高度的价值。这一认识对改善脑血管疾病患者目前的评估和治疗具有重要意义。

DESCRIPTION (provided by applicant): Cerebrovascular diseases are a leading cause of death and long term disability in the United States. Detailed knowledge of the human brain's vascular architecture is important in relating hemodynamics to physiopathology, and can help optimize the diagnosis and treatment of cerebrovascular disease. This exploratory collaboration with the UCLA Center for Computational Biology (CCB) will develop a framework for the quantitative characterization of brain vasculature and its variability among normal subjects from non-invasive magnetic resonance angiography (MRA). The project is organized around three specific aims, broadly corresponding to angiographic reconstruction, analysis, and probabilistic atlasing: Aim1 - Digital reconstruction of a normative set of MRA: a) Build 3D vascular reconstructions from MRA data of normal subjects. b) Evaluate and verify the vascular reconstructions using a battery of reliability tests. Aim2 - Statistical morphometric analysis: a) Characterize the geometry and branching topology of the arterial structures of the brain. b) Conduct statistical analysis to establish inter-subject variability of the vascular structural characteristics and test for differences between males and females, and left/right hemispheres. Aim3 - Probabilistic angiographic atlas: a) Construct a brain vascular atlas using the CCB registration pipeline and integrate with the other modalities of the CCB brain atlas. At the completion of the project, the anonymized raw image stacks, the vascular reconstructions and the morphometric characterizations will be made available to the scientific community through the CCB pipeline. The datasets and information generated and disseminated will be of broad and extreme value. PUBLIC HEALTH RELEVANCE: This project aims at constructing brain vascular reconstructions from magnetic resonance angiography data and constructing a vascular atlas of the brain. Both the algorithms and data generated and disseminated in this project will be of broad and high value for a better understanding of the mechanisms involved in the initiation, progression and outcome of cerebrovascular diseases such as stroke and aneurysms. This knowledge is important for improving current evaluation and treatment of patients with cerebrovascular disease.