基于b模超声图像采集模型的散斑仿真

Charles Perreault, M. Auclair-Fortier
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引用次数: 36

摘要

介绍了一种模拟医学b超合成图像中散斑的新方法。我们的方法同时考虑了超声图像形成模型和斑点形成模型。该算法首先修改理想的无噪声图像的几何形状,以匹配扇形b型超声图的几何形状,通过对像素网格进行子采样来模拟图像形成的采集和量化步骤。然后,根据Burckhardt散斑形成模型,通过模拟复振幅平面的随机游走来添加散斑。最后,我们对噪声下采样像素进行插值,以填充采样步骤引入的空间,并恢复完整的图像,就像真实的超声图一样。用这种方法合成的散斑图像在视觉上和理论上都非常接近真实的超声图像。
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Speckle Simulation Based on B-Mode Echographic Image Acquisition Model
This paper introduces a novel method to simulate B-mode medical ultrasound speckle in synthetic images. Our approach takes into account both the ultrasound image formation model and the speckle formation model. The algorithm first modifies the geometry of an ideal noiseless image to match that of a sectoral B-mode ultrasonogram, by subsampling a grid of pixels to simulate the acquisition and quantization steps of image formation. Then, speckle is added by simulating a random walk in the plane of the complex amplitude, according to the Burckhardt speckle formation model. We finally interpolate the noisy subsampled pixels in order to fill the space introduced by the sampling step and recover a complete image, as would a real ultrasonograph. Synthetic speckle images generated by this method are visually and theoretically very close to real ultrasonograms.
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