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智能信息处理
  • 项目名称：智能信息处理
  • 项目类别：海外或港、澳青年学者合作研究基金
  • 批准号：60628101
  • 申请代码：F010303
  • 项目来源：国家自然科学基金
  • 研究期限：2007-01-01-2009-12-31
  • 项目负责人：刘一军
  • 负责人职称：教授
  • 依托单位：北京师范大学
  • 批准年度：2006
中文摘要：

弥散张量成像（DT-MRI）是近年刚刚发展起来的基于MRI影像技术，是目前唯一能呈现活体人脑神经联结的成像方式，可视化地描述了脑白质中神经纤维束的形态及组织结构。因此，一经面世，便被广泛的应用于临床诊断和脑功能连接方面的研究。但是目前各类跟踪算法中，存在如下问题单个体素(voxel)纤维之间的相互作用可能导致算法产生错误的纤维通路或者过早地中断；有噪的DTI数据影响了纤维束的真实重建等。本项目采用系统的方法来重建和可视化人脑神经纤维通路1、高角分辨率扩散加权成像技术(high angular resolution diffusion-weighted imaging，HARDI)在扩散技术中的应用；2、为非侵入性活体人脑白质神经纤维跟踪研究新的计算机技术；3、研究fMRI与DTI的融合技术；4、将研究成果应用于脑功能的连接及脑疾病（如中风、老年痴呆）的研究，为探索脑疾病的发病机理提供科学依据。

中文主题词： 弥散张量磁共振成像；高角分辨率弥散加权成像；纤维跟踪；脑区连接
结论摘要：

英文主题词DT-MRI; HARDI; Fiber Tracking; Brain Connectivity

成果综合统计
成果类型
数量
  • 期刊论文
  • 会议论文
  • 专利
  • 获奖
  • 著作
  • 20
  • 18
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期刊论文
Disrupted Frontal Connections in Band Heterotopia Mapped by Diffusion Tensor Tractography
基于功能磁共振成像的网络连接显示方法
Voxel-based assessment of gray and white matter volumes in Alzheimer’s disease
An improved exponential filter for fast nonlinear registration of brain magnetic resonance images
Improved Application of Independent Component Analysis to Functional Magnetic Resonance Imaging Stud
Detecting directional influence in fMRI connectivity analysis using PCA based Granger causality
White matter impairments in autism, evidence from voxel-based morphometry and diffusion tensor imagi
Analyzing Brain Networks With PCA and Conditional Granger Causality
Detecting Functional Connectivity in fMRI Using PCA and Regression Analysis
Sparse representation of global features of visual images in human primary visual cortex: Evidence f
基于独立成分分析和相关分析的fMRI功能连接方法
全张量步长适应性脑白质纤维跟踪改进算法
Ipsilateral brain deactivation specific to the nondominant hand during simple finger movements
视像整体特征在人类初级视皮层上的稀疏表象：脑功能成像的证据
阿尔茨海默氏症研究中的磁共振成像数据分析
Sparse representation of global features of visual images in human primary visual cortex： Evidence from fMRI
会议论文
Investigation of effective connectivity in the motor cortex of fMRI data using Granger causality mod
The functional connectivity of semantic task changes in the recovery from stroke aphasia
P300 detection using boosting neural networks with application to BCI
Optimizing spatial filters with kernel methods for BCI applications
Spatiotemporal patterns of ERP based on combined ICA-LORETA analysis
A study of combination fMRI and DTI in a cognitive task
Functional network connectivity analysis based on partial correlation in alzheimer's disease
Effective connectivity analysis of default mode network based on the bayesian network learning appro
White matter fiber tracts based on diffusion tensor imaging
Combination of DTI and fMRI reveals the white matter changes correlating with the decline of default
Mapping brain development during childhood, adolescence and young adulthood
A study of human brain structural connectivity based on diffusion tensor imaging in Alzheimer's dise
Validation of Voxel-Based Morphometry ( VBM ) based on MRI
An improved algorithm of fiber tractography demonstrates postischemic cerebral reorganization
A framework of common spatial patterns based on support vector decomposition machine
A multicomponent estimation method of single-trial ERPS for BCI applications
A spatiotemporal approach to N170 detection with application to brain-computer interfaces
Exploration of event-evoked oscillatory activities during a cognitive task
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刘一军的项目