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首页> 外文会议>Biomedical Engineering International Conference >Enhanced Needle Detection in Ultrasound Images using Acoustic Excitation and Ultrasound Image Analyses
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Enhanced Needle Detection in Ultrasound Images using Acoustic Excitation and Ultrasound Image Analyses

机译：使用声激励和超声图像分析增强超声图像中的针头检测

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摘要

Ultrasound imaging provides a low cost and noninvasive imaging modality to improve the safety and success rate of needle-based interventions by guiding the needle towards the target anatomy. Nevertheless, the limited needle visibility in conventional brightness mode (B-mode) ultrasound images might degrade the capability of achieving accurate localization of the needle axis and tip. In this paper, a computer-based method is introduced to enable accurate needle detection in ultrasound images. In this method, the needle is excited using a voice actuator to generate low-amplitude acoustic waves that propagate through the needle. The excited needle is scanned using ultrasound imaging to acquire a power Doppler ultrasound image and a B-mode ultrasound image. The power Doppler image is processed using thresholding and Radon transform analyses to obtain approximate estimation of the needle axis and identify a region of interest (ROI) that includes the vibrating needle. Moreover, accurate estimation of the needle axis is achieved by analyzing the ROI that includes the needle in the B-mode image using a thresholding procedure combined with a customized Radon transform. Finally, the location of the needle tip is identified by applying an iterative sliding window approach to the B-mode image to quantify the pixel intensities around the estimated needle axis. The accuracy of the proposed method is evaluated by applying the method to detect the axes and tips of eight needles inserted in ex vivo bovine muscle tissue specimens and imaged using linear and curvilinear ultrasound transducers. The results show that the proposed method was able to detect the axes and tips of the inserted needles with error values within the ranges of 0.3° to 1.0° and 0.2 mm to 1.0 mm, respectively. These results suggest the potential of applying the proposed method to enhance the localization of the needle during ultrasound-guided needle-based interventions.
机译：超声成像提供了一种低成本且无创的成像方式，可通过将针头引导至目标解剖结构来提高基于针头的干预措施的安全性和成功率。但是，常规亮度模式（B模式）超声图像中有限的针头可见性可能会降低实现针头轴和针尖精确定位的能力。本文介绍了一种基于计算机的方法，可以在超声图像中进行准确的针头检测。在这种方法中，使用声音致动器激励针头，以产生通过针头传播的低振幅声波。使用超声成像扫描受激针，以获取功率多普勒超声图像和B模式超声图像。使用阈值化和Radon变换分析来处理功率多普勒图像，以获得针头轴的近似估计值并识别包括振动针头的感兴趣区域（ROI）。而且，通过使用阈值过程结合定制的Radon变换来分析B模式图像中包括针头的ROI，可以实现对针头轴的准确估计。最后，通过对B模式图像应用迭代滑动窗口方法来量化估计的针轴周围的像素强度，可以识别针尖的位置。通过应用该方法来检测插入到离体牛肌肉组织标本中并使用线性和曲线超声换能器成像的八根针的轴和尖端，来评估所提出方法的准确性。结果表明，所提出的方法能够检测插入的针的轴线和尖端，其误差值分别在0.3°至1.0°和0.2mm至1.0mm的范围内。这些结果表明，在超声引导的基于针的干预过程中，应用所提出的方法来增强针的定位的潜力。

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