介入式治疗中靶区呼吸运动实时跟踪技术

Real-time tracking technique of target respiratory motion in interventional therapy

对靶区呼吸运动实时跟踪技术研究进展进行报道。首先阐述了传统的内外呼吸信号获取方法,详细比较目前呼吸信号提取方法,提出使用CO_2浓度获得呼吸运动信号的方法。随后主要研究了内外信号关联模型,对现阶段的关联模型进行分类,分析、比较了其优缺点。在仿真和实际应用中,研究者发现呼吸替代信号的精度很大程度上影响关联模型的精度,而简单的关联模型不能够描述复杂的呼吸运动,需要建立复杂关联模型对其进行更加精确地描述。最后分析靶区呼吸运动实时跟踪技术存在的问题以及未来发展趋势。

The progress of real-time tracking of respiratory motion in target area is reviewed. Firstly, the traditional method for obtaining internal-external respiration signals is described; the method for respiration signals signal extraction in present are compared in details; and the method using CO2 concentration for obtaining respiratory motion signals is proposed. Then, the internal-external respiratory signals correlation model is mainly studied by classifying and analyzing the correlation models at this stage and comparing their advantages and disadvantages. In simulation and practical applications, the researchers find that the accuracy of the respiratory replacement signals greatly affects the accuracy of the correlation model, and that the simple correlation model is incapable of describing the complex respiratory motion. Thus the establishment of a complex correlation model is needful for a more accurate description. Finally, the problems of real-time tracking technology of target respiratory motion and the future development trend are analyzed.