骨骼肌超声诊断迈向人工智能新领域:计算机辅助骨骼肌损伤超声定量诊断

发布时间：2018-02-08 15:35

本文关键词： 骨骼肌创伤和损伤超声检查纹理定量诊断　出处：《第二军医大学学报》2017年10期 　论文类型：期刊论文

【摘要】：骨骼肌损伤是临床常见问题,近年频发的自然灾害引发的严重肌肉损伤致伤致残率明显增高,及时诊断和准确评估肌肉损伤的范围和严重程度至关重要。肌肉受损后结构紊乱、境界模糊,而修复期纹理结构逐渐清晰。通过高分辨率超声可动态观察骨骼肌病理变化,其纹理成像效果不逊于磁共振成像,且具有独特的影像优势。但不同技术级别超声医师单独进行定性诊断时具有主观局限性,目前临床对于肌肉损伤尚未形成统一的超声定量诊断标准。本中心近年开展了一系列实验研究和初步临床实践,尝试运用骨骼肌超声图像计算机纹理分析技术研究肌肉损伤修复不同时期的超声影像表现,定量探讨损伤及修复期声像图上肌束纹理特征变化,运用超声造影观察伤肢肌肉动脉期血管分布特征演变,并从组织病理学角度对照观察损伤及修复期的肌纤维结构和胶原分布特点、血管化程度与其排列分布。相关研究有望为今后临床寻找定量、客观的骨骼肌损伤超声诊断评价指标提供理论依据。
[Abstract]:Skeletal muscle injury is a common clinical problem. The rate of disabling caused by serious muscle injury caused by frequent natural disasters in recent years is obviously increased. It is important to diagnose and accurately evaluate the extent and severity of muscle injury in time. The texture structure of skeletal muscle can be observed dynamically by high-resolution ultrasound, and the texture imaging effect is not inferior to that of magnetic resonance imaging. But ultrasound doctors of different technical levels have subjective limitations when they make qualitative diagnosis alone. At present, there has not been a unified diagnostic standard of ultrasound for muscle injury. In recent years, the center has carried out a series of experimental studies and preliminary clinical practice. This paper attempts to use the computer texture analysis technique of skeletal muscle ultrasound image to study the image features of muscle bundle in different stages of muscle injury repair, and to quantitatively study the changes of texture characteristics of muscle bundle on the ultrasonic image during the injury and repair period. The changes of vascular distribution in muscle artery of injured limb were observed by contrast-enhanced ultrasonography. The muscle fiber structure and collagen distribution in injury and repair period were observed from histopathological point of view. The degree of vascularization and the distribution of vascularization are expected to provide theoretical basis for quantitative and objective ultrasonic diagnostic evaluation of skeletal muscle injury in the future.
【作者单位】：第二军医大学长征医院超声诊疗科;上海海事大学信息工程学院计算机科学系;
【基金】：国家自然科学基金(81501492) 第二军医大学长征医院青年启动基金(2012CZQN11)~~
【分类号】：R445.1;R68

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