论文标题

到达成像的时间:新型医学成像方式的概念证明

Time of arrival imaging: The proof of concept for a novel medical imaging modality

论文作者

Feng, Tao

论文摘要

已经表明,通过使用超宽带(UWB)电磁信号和到达(TOA)原理的时间,可以在人体的介电常数分布的情况下找到医疗植入物。我们提出了一种使用反向过程的新成像方式,以获取介电常数分布作为人体解剖结构的替代。在提议的系统中,假定信号源,接收器和信号形状的位置已确切知道。测量的数据记录为信号从信号源传播到信号接收器所需的时间。有限差分时间域(FDTD)方法用于模拟幻影内信号传播的建模,该方法用于模拟和图像重建。图像重建是使用训练对上的线性回归来实现的,该回归包括随机生成的图像及其使用FDTD方法生成的相应到达时间。生成训练图像的线性权重以最大程度地减少重建图像的到达时间与测量到达时间之间的差异。使用UWB信号的模拟研究进行了300 MHz的中心频率和Shepp-Logan Phantom。十秒钟的时间分辨率用于仿真和图像重建。幻影的到达时间与重建图像的到达时间之间的定量差异随着迭代数量的增加而降低。重建图像的定量误差在900次迭代后达到10%,在1200次迭代后达到8.4%。通过额外的平滑后,通过重建来抑制引入的噪声模式,实现了6.5%的误差。在本文中,提出并使用模拟研究对一种利用TOA原理来实现传输成像的方法。

It has been shown that with the use of ultra-wideband (UWB) electromagnetic signal and time of arrival (ToA) principle, it is possible to locate medical implants given the permittivity distribution of the body. We propose a new imaging modality using the reverse process to acquire permittivity distributions as a surrogate of human anatomy. In the proposed systems, the locations of the signal source, receiver, and signal shapes are assumed to be known exactly. The measured data is recorded as the time it takes for the signal to travel from the signal source to the signal receiver. The finite-difference-time-domain (FDTD) method is used for the modeling of signal propagation within the phantom, which is used for both simulation and image reconstruction. Image reconstruction is achieved using linear regression on the training pairs, which includes randomly generated images and its corresponding arrival times generated using the FDTD approach. The linear weights of the training images are generated to minimize the difference between the arrival time of the reconstruction image and the measured arrival time. A simulation study using UWB signal with the central frequency of 300 MHz and the Shepp-Logan phantom was carried out. Ten-picosecond timing resolution is used for the simulation and image reconstruction. The quantitative difference between the arrival times of the phantom and the reconstructed image reduced with an increased iteration number. The quantitative error of the reconstructed image reached below 10% after 900 iterations, and 8.4% after 1200 iterations. With additional post-smoothing to suppress the introduced noise pattern through reconstruction, 6.5% error was achieved. In this paper, an approach that utilizes the ToA principle to achieve transmission imaging with radio waves is proposed and validated using a simulation study.

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