MUTUAL INFORMATION BASED IMAGE PROCESSING FOR FMRI

基于互信息的 FMRI 图像处理

• 批准号: 6232385
• 负责人: William M. Wells
• 金额: $ 16.46万
• 依托单位: BRIGHAM AND WOMEN'S HOSPITAL
• 依托单位国家: 美国
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-09-01 至 2003-08-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6232385
• 关键词: bioimaging /biomedical imaging; functional magnetic resonance imaging; human data; image processing; information theory; mathematical model

This project aims primarily to further develop and evaluate a novel method for the detection of activation in functional Magnetic Resonance Images (fMRI). Standard approaches to the detection of activation are described, as well as the clinical significance of detection results for neurosurgical planning. The new method is based on a formulation of the mutual information between two waveforms--the fMRI temporal response of a voxel and the experimental protocol timeline. In this method, scores based on mutual information are generated for all voxels and then used to compute the activation map of an experiment. Mutual information for fMRI analysis is employed because it has been shown to be robust in quantifying the relationship between any two waveforms. Our technique takes a principled approach toward calculating the brain activation map by making few assumptions about the relationship between the protocol timeline and the temporal response of a voxel. This may be significant in fMRI experiments where little is known about the relationship between these two waveforms. Preliminary experiments are presented to demonstrate this approach of computing the brain activation map, and a comparison to other more traditional analysis techniques is presented. A plan is described to obtain representative data sets from ongoing projects and to use them for a comparison of the new method and a standard method.

本项目的主要目的是进一步开发和评估一种新的方法，用于检测功能性磁共振图像（fMRI）中的激活。标准的方法来检测激活的描述，以及神经外科规划的检测结果的临床意义。这种新方法是基于两个波形之间的互信息的公式化--体素的fMRI时间响应和实验协议时间轴。在该方法中，基于互信息的分数针对所有体素生成，然后用于计算实验的激活图。采用互信息进行fMRI分析，因为它已被证明是强大的量化任何两个波形之间的关系。我们的技术采取了一种原则性的方法，通过对协议时间轴和体素的时间响应之间的关系做出一些假设来计算大脑激活图。这在功能磁共振成像实验中可能是重要的，因为对这两个波形之间的关系知之甚少。初步的实验来证明这种方法的计算大脑激活图，并与其他更传统的分析技术进行比较。描述了一个计划，以获得代表性的数据集，从正在进行的项目，并使用它们的新方法和标准方法的比较。