HIFU治疗中基于呼吸和脉搏信号的B超图像配准

摘要

During clinical therapy of using ultrasound guided HIFU system, clinical doctors need to compare B-ultrasound images of different positions to locate the treatment target. This paper presents a dynamic B-ultrasound image registration method based on respiratory and pulse signals. Methods: According to the respiratory and pulse signals have a periodicity feature, capture l0sec B-ultrasound images as reference images in an suitable location before treatment, and record the respiratory and pulse signals as reference signals when capture each frame B-ultrasound image. Then move back to the therapy location and begin signals registration between reference signals and real-time signals through DTW algorithm. Next find the reference image corresponds to the registration signal, and then compensate for image displacement caused by the movement of B-ultrasound probe, and ultimately achieve the B-ultrasound image registration. Results: In the experiment, by controlling the B-ultrasound probe close to the human, to find the suitable location to capture the reference data contains B ultrasound images, respiratory and pulse signals, then move back to the treatment location and begin B-ultrasound images registration, the registration results found that the technology has high accuracy and stability. Conclusions: This technique is effective to achieve the dynamic B-ultrasound images registration, and solve the problem which blurred image is unable to register.%目的:超声引导的HIFU治疗系统在临床治疗中,在同一治疗层面上,医生需要移动B超探头对比不同位置的图像定位靶区,本研究提出了一种基于呼吸和脉搏信号的动态B超图像配准方法.方法:根据呼吸和脉搏信号周期出现的特点,探头先运动到理想位置连续采集大概10s的B超图像作为参考图像,同时记录每帧参考图像采集时刻的呼吸和脉搏信号作为参考信号.探头再返回到治疗位置通过DTW算法配准实时的呼吸和脉搏信号,找到配准信号对应的参考图像再补偿B超探头移动导致的图像位移,最终实现实时图像与参考图像的配准.结果:在实验中,通过调节B超探头与人体皮肤的距离,找到理想位置采集B超图像和呼吸脉搏信号作为参考数据,再回到治疗位置开始B超图像的配准,配准结果发现该技术具有很高的准确性和稳定性.结论:该技术能有效实现动态B超图像配准,也解决了模糊图像无法配准的难题.