脑部弥散张量成像数据处理技术在疾病诊断研究中的应用进展

Review of disease diagnosis research based on brain diffusion tensor imaging data processing technique

主要介绍弥散张量成像(Diffusion Tensor Image,DTI)技术的发展,介绍脑部DTI数据处理常用的方法应用于疾病诊断的发展概况。本文总结DTI数据处理最常用的3种方法,包括基于体素的分析、基于纤维束的空间统计分析方法和白质纤维追踪方法,其中列出了使用各种方法应用于疾病研究所取得的成果,对研究结果进行了分析并对各种分析方法的优缺点进行总结。最后对DTI的发展方向提出展望,DTI在科研和临床应用方面都发挥着越来越重要的作用,尤其是科研方面已取得很多重要成果。在临床方面,DTI可用于多种疾病的诊断和治疗,且在某些疾病的诊断中发挥着越来越重要的作用。

The development of the diffusion tensor imaging （DTI） technology is introduced in the paper, including the development of the most commonly used method of the brain DTI data processing and application in disease diagnosis. Three most commonly used DTI data processing methods are summarized, including voxel-based analysis, tract-based spatial statistics, and white matter fiber tracking method, in which the achievements of various methods applied to disease research are listed, and the research results are analyzed, and the advantages and disadvantages of various analysis methods are summarized. Finally, the perspectives on the future research direction of DTI are offered. DTI is playing an increasingly important role in scientific research and clinical application. Especially, many important achievements are made in scientific research. In clinic, DTI can be used in the diagnosis and treatment of various diseases, and plays a more and more important role in some disease diagnosis.