Automated Delineation, Parcellation and Analysis of the Cerebellum from MR Images

根据 MR 图像自动描绘、分割和分析小脑

• 批准号: 8056940
• 负责人: George Fein
• 金额: $ 13.5万
• 依托单位: NEUROBEHAVIORAL RESEARCH, INC.
• 依托单位国家: 美国
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-06-01 至 2014-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8056940
• 关键词: Affect; Alcoholism; Anatomy; Anterior; Anxiety; Awareness; Behavioral; Brain; Capuchin Monkey; Case Study; Cerebellar cortex structure; Cerebellar vermis structure; Cerebellum; Cerebral cortex; Clinical; Cognitive; Collaborations; Computer software; Computers; Contracts; Data; Data Set; Databases; Development; Disease; Emotional; Environment; Equilibrium; Evolution; Explosion; Functional Imaging; Functional Magnetic Resonance Imaging; Functional disorder; Gait; Goals; Hand; Hand functions; Head; Human; Image; Imagery; Impairment; Individual; Institution; Investigation; Laboratories; Lateral; Left; Licensing; Lobule; Magnetic Resonance Imaging; Manuals; Marketing; Mood Disorders; Motor; Motor Cortex; Neocortex; Pan Genus; Parietal; Pathology; Patients; Perception; Performance; Pharmacologic Substance; Phase; Population; Prefrontal Cortex; Primates; Relative (related person); Reporting; Research; Rest; Role; Scanning; Schizophrenia; Sensory; Short-Term Memory; Site; Small Business Innovation Research Grant; Speed; Structure; Surface; System; Time; Training; Tremor; Validation; Viral; Visuospatial; Weight; Work; autism spectrum disorder; base; catalyst; cerebellar lesion; cingulate cortex; cognitive function; cost; executive function; image processing; insight; interest; middle age; problem drinker; shape analysis; tool

DESCRIPTION (provided by applicant): Cerebellar involvement has been implicated in a large spectrum of disorders. Reduced cerebellar volumes have been reported in alcoholism, autism spectrum disorders, schizophrenia, mood disorders, and essential head tremors. As an example of the work demonstrating the more widespread role of the cerebellum in brain function, Sullivan and colleagues have demonstrated impairment in static upright balance with excessive sway in individuals with pathology of the anterior superior vermis, and have shown that alterations in nodes of the frontocerebellar circuitry can predict executive dysfunction in prefrontal regions. There has been an explosion of studies in the last decade examining functional brain networks using task-activated fMRI, and resting state functional connectivity MRI . For the most part, cerebellar morphometric studies and studies of the cerebellar components of brain networks have been ignored, largely as a consequence of lack of tools to support such investigations. The time is ripe for reliable and valid tools to support such studies. We believe that a cerebellar analysis toolkit (CATK) not only has a waiting audience and market, but its availability will act as a catalyst for the incorporation of the cerebellum in studies of brain structure and function, and thus will be of great significance. ! The goal of this SBIR project is to develop an integrated cerebellar segmentation / parcellation and analysis suite. The core component will be MR image delineation of the cerebellum and its subregions. The suite will include a comprehensive set of image and surface analysis tools, including the capability for shape analysis of cerebellar structures, and for visualization and surface editing. We will develop an integrated analysis environment with high performance tools implementation on GPUs using CUDA. CATK will have three major components: 1) cerebellar delineation, 2) A CUDA-based surface and image processing toolbox, and 3) A CUDA/openGL based rendering/surface editing tool. The product will provide a low cost means for extracting valuable information from existing MR image databases as well as from new data. PUBLIC HEALTH RELEVANCE: Cerebellar involvement has been implicated in a large spectrum of disorders. Reduced cerebellar volumes have been reported in alcoholism, autism spectrum disorders, schizophrenia, mood disorders, and essential head tremors. The goal of this SBIR project is to develop an integrated cerebellar segmentation / parcellation and analysis suite. Which will help give further insight into the significance of this structure in a myriad of diseases, helping to deepen our understanding of the cerebellum<s role in normal brain function as well as in pathology.

描述（由申请人提供）：小脑受累与多种疾病有关。据报道，酗酒、自闭症谱系障碍、精神分裂症、情绪障碍和特发性头部震颤会导致小脑体积减少。作为证明小脑在大脑功能中更广泛作用的一个例子，Sullivan 及其同事证明了患有前上蚓部病变的个体的静态直立平衡受损和过度摇摆，并表明额小脑回路节点的改变可以预测前额叶区域的执行功能障碍。过去十年中，使用任务激活功能磁共振成像和静息状态功能连接磁共振成像检查功能性大脑网络的研究激增。在很大程度上，小脑形态测量研究和大脑网络小脑组成部分的研究被忽视，很大程度上是由于缺乏支持此类研究的工具。寻找可靠有效的工具来支持此类研究的时机已经成熟。我们相信，小脑分析工具包（CATK）不仅拥有等待的受众和市场，而且它的出现将成为小脑纳入大脑结构和功能研究的催化剂，因而具有重要意义。 ！该 SBIR 项目的目标是开发集成的小脑分割/分区和分析套件。核心部分是小脑及其子区域的 MR 图像描绘。该套件将包括一套全面的图像和表面分析工具，包括小脑结构形状分析以及可视化和表面编辑的功能。我们将开发一个集成分析环境，在 GPU 上使用 CUDA 实现高性能工具。 CATK 将包含三个主要组件：1) 小脑描绘，2) 基于 CUDA 的表面和图像处理工具箱，以及 3) 基于 CUDA/openGL 的渲染/表面编辑工具。该产品将为从现有 MR 图像数据库以及新数据中提取有价值的信息提供一种低成本的方法。 公共卫生相关性：小脑受累与多种疾病有关。据报道，酗酒、自闭症谱系障碍、精神分裂症、情绪障碍和特发性头部震颤会导致小脑体积减少。该 SBIR 项目的目标是开发集成的小脑分割/分区和分析套件。这将有助于进一步了解这种结构在多种疾病中的重要性，有助于加深我们对小脑在正常大脑功能以及病理学中的作用的理解。