Intelligent diagnostic analysis based on pattern recognition of DTI image

IF 1.5 Q2 COMPUTER SCIENCE, THEORY & METHODS

International Journal of Fuzzy Logic and Intelligent Systems Pub Date : 2021-01-01 DOI:10.3233/JIFS-189797

D. Jin, Xiaojuan Su, Yeqing Wang, Dai Shi, Liang Xu

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引用次数: 2

Abstract

Traditional brain imaging usually does not show anomalies. Based on this, this study used DTI to find evidence that the brain structure microstructure may be abnormal, and to study the BOLD signal changes of functional magnetic resonance imaging and the changes of DTI microstructure in patients with mild traumatic brain injury. At the same time, based on literature collection and actual data, the current status of nuclear magnetic resonance diagnosis of brain trauma was collected. Moreover, this study combines the problem to improve the algorithm and propose an image diagnosis method for brain trauma to improve the cluster quality and stability. In addition, the experiment was designed to analyze the performance of the algorithm in this study. Finally, in this study, resting state functional magnetic resonance imaging was used to study the resting brain function in patients with mild cognitive impairment within one week after traumatic brain injury. The results show that the method proposed in this study has certain effects and can provide theoretical reference for related research.

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基于DTI图像模式识别的智能诊断分析

传统的脑成像通常不会显示异常。基于此，本研究利用DTI寻找可能存在脑结构微结构异常的证据，研究轻度创伤性脑损伤患者的功能磁共振成像BOLD信号变化及DTI微结构变化。同时，在文献收集和实际数据的基础上，收集核磁共振诊断脑外伤的现状。此外，本研究结合该问题对算法进行改进，提出了一种脑外伤图像诊断方法，提高聚类质量和稳定性。此外，还设计了实验来分析本研究中算法的性能。最后，本研究采用静息状态功能磁共振成像技术研究创伤性脑损伤后一周内轻度认知障碍患者的静息脑功能。结果表明，本研究提出的方法具有一定的效果，可为相关研究提供理论参考。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Fuzzy Logic and Intelligent Systems COMPUTER SCIENCE, THEORY & METHODS-

CiteScore

2.80

自引率

23.10%

发文量

期刊介绍： The International Journal of Fuzzy Logic and Intelligent Systems (pISSN 1598-2645, eISSN 2093-744X) is published quarterly by the Korean Institute of Intelligent Systems. The official title of the journal is International Journal of Fuzzy Logic and Intelligent Systems and the abbreviated title is Int. J. Fuzzy Log. Intell. Syst. Some, or all, of the articles in the journal are indexed in SCOPUS, Korea Citation Index (KCI), DOI/CrossrRef, DBLP, and Google Scholar. The journal was launched in 2001 and dedicated to the dissemination of well-defined theoretical and empirical studies results that have a potential impact on the realization of intelligent systems based on fuzzy logic and intelligent systems theory. Specific topics include, but are not limited to: a) computational intelligence techniques including fuzzy logic systems, neural networks and evolutionary computation; b) intelligent control, instrumentation and robotics; c) adaptive signal and multimedia processing; d) intelligent information processing including pattern recognition and information processing; e) machine learning and smart systems including data mining and intelligent service practices; f) fuzzy theory and its applications.