P5C-2 A New Convolution-Based Methodology to Simulate Ultrasound Images in a 2D / 3D Sector Format

Hang Gao, H. Choi, P. Claus, S. Boonen, G. van der Perre, W. Lauriks, J. D’hooge
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引用次数: 8

Abstract

A study is presented in which a new convolution-based methodology has been developed to simulate ultrasound images in a 2D/3D sector format. In order to do so, the datasets were produced by reducing the conventional 2D/3D convolution model into multiple 1D convolutions (one for each line). After scan conversion of the individual image lines, conventional grayscale images were obtained. In this manuscript, a 2D / 3D image of a virtual left ventricle was simulated as an example. Moreover, the grayscale histogram statistics were verified to be Rayleigh distributed.
一种新的基于卷积的二维/三维扇区格式超声图像模拟方法
一项研究提出了一种新的基于卷积的方法来模拟二维/三维扇区格式的超声图像。为了做到这一点,数据集是通过将传统的2D/3D卷积模型减少到多个1D卷积(每一行一个)来产生的。对各图像线进行扫描转换后,得到常规灰度图像。本文以虚拟左心室的二维/三维图像为例进行了仿真。验证了灰度直方图统计量为瑞利分布。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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