STRUCTURAL ANALYSIS OF ANATOMICAL SHAPES AND OF WHITE MATTER TRACTS

解剖形状和白质束的结构分析

基本信息

批准号：
7669311
负责人：
GUIDO GERIG
金额：
$ 10.29万
依托单位：
BRIGHAM AND WOMEN'S HOSPITAL
依托单位国家：
美国
项目类别：
财政年份：
2008
资助国家：
美国
起止时间：
2008-08-01 至 2010-07-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/7669311
关键词：
Age Animals Automobile Driving Biological Brain Characteristics Clinical Clinical Research Computer software Confocal Microscopy Data Diffusion Diffusion Magnetic Resonance Imaging Disease Disruption Early Diagnosis Family Fiber Foundations Generic Drugs Human Image Image Analysis Imagery Language Link Location Measures Medial Methodology Methods Morphology Nature Neurobiology Neurodegenerative Disorders Neurosciences Noise Numbers Output Pathology Patients Pharmaceutical Preparations Phase Pliability Population Process Property Research Research Personnel Resolution Scanning Schizophrenia Shapes Skeleton Specific qualifier value Staging Statistical Methods Structure Testing Tissues Treatment Efficacy anticancer research base improved in vivo interest neurodevelopment neuroimaging neuropsychiatry novel prototype research and development response shape analysis sound tool white matter

项目摘要

In-vivo imaging studies of brain structures provide valuable information about the nature of neuropsychiatric disorders, including neurodegenerative diseases and/or disorders of abnormal neurodevelopment. Imaging can depict functional and morphologic information and has become an important component to detect normal biological variability and change from normal. Image acquisition shows steady progress with respect to spatial resolution, contrast-to-noise ratio, highspeed imaging, and versatility of scanning sequences measuring a variety of properties of tissue and function. To keep pace with advances in imaging and with needs of clinical research, image analysis research has to develop effective processing tools suitable for exploratory studies and for testing hypothesis in large clinical studies. Advanced image analysis methodology and statistical analysis methods, if developed on a sound mathematical foundation and on the principle of producing generic tools integrated into a common platform, will not only be applicable to human neuroimaging research as proposed here but will be relevant for imaging studies in cancer research, various other imaging domains like animal imaging studies, and even confocal microscopy imaging, for example.

大脑结构的体内成像研究提供了有关性质的有价值的信息神经精神疾病，包括神经退行性疾病和/或异常疾病神经发育。成像可以描述功能和形态学信息，并已成为检测正常生物学变异性和正常变化的重要组成部分。图像获取在空间分辨率，对比度比率，高速成像以及测量各种组织和功能特性的扫描序列的多功能性方面显示出稳定的进展。为了跟上成像的进步和临床研究的需求，图像分析研究必须开发有效的处理工具，适合于探索性研究和在大型临床研究中检验假设。先进的图像分析方法和统计分析方法，如果在合理的数学基础上开发，并且基于生产集成到通用平台中的通用工具的原理，不仅将适用于此处提出的人类神经影像学研究，还适用于癌症研究中的成像研究，以及其他各种成像领域（如动物成像研究），甚至是共摄影显微镜成像，例如。