用于医学探针表征的校准层析纹影系统

J. Le Floch, P. Gatta, G. Caliano, R. Carotenuto, M. Pappalardo
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引用次数: 2

摘要

医疗领域使用的超声波(US)探头在MHz范围内必须遵守特定的规则。传统上,校准水听器在给定体积内测量美国油田的压力,但这一过程非常耗时。最近,纹影系统已经被证明是一种快速准确的超声场特性(波束宽度和平均声强在灰度级的函数)量化技术。然而,视频灰度与峰值压力之间的关系尚未确定,并且由于视野有限,只有少数医学探针可以实时研究。在本文中,实现了基于纹影效应的实验装置,允许实时成像,并在连续波驱动下对大范围医学探针的美国场进行定量层析成像重建。我们还研究了压力测量和层析亮度值之间的关系,以便校准我们的纹影系统。结果表明,这种尺寸为40 cm x 100 cm x 40 cm的新型纹影系统是一种时间效率高的方法,可以表征1-40 MHz频率范围内的几种医疗探头。实验发现层析重建的灰度值与峰值压力之间存在非线性关系。一旦系统被校准,它允许定量重建层析成像视图在任何深度。我们未来的工作是实时量化美国战场的视频,并获得三维可视化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Calibrated tomographic schlieren system for characterization of medical probes
Ultrasound (US) probes in the MHz range used in the medical field must comply with specific rules. Traditionally, calibrated hydrophones measure the pressure of the US field within a given volume but this procedure is time consuming. More recently, the Schlieren system has been demonstrated a fast and accurate technique for the quantification of the ultrasonic field characteristics (beam width and average acoustic intensity in function of the gray level). However, a relationship between the video gray level and the peak pressure was not determined, and only a small number of medical probes could be studied in real time due to a limited field of view. In this paper, the realization of an experimental set-up based on the Schlieren effect, allowing real time imaging, and a quantitative tomographic reconstruction of the US field of a wide range of medical probes, driven with continuous waves, is reported. We also investigated the relationship between pressure measurements and tomographic luminance values, in order to calibrate our Schlieren system. The results demonstrate that this new Schlieren system of compact dimension, 40 cm x 100 cm x 40 cm, is a time efficient method to characterize several medical probes in the frequency range 1-40 MHz. A non-linear relationship between the gray level of the tomographic reconstruction and the peak pressure was experimentally found. Once the system has been calibrated, it allows the quantitative reconstruction of tomographic views at any depth. Our future work is to quantify the video of the US field in real time and to obtain a 3D visualization.
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