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首页> 外文期刊>Computer Methods and Programs in Biomedicine: An International Journal Devoted to the Development, Implementation and Exchange of Computing Methodology and Software Systems in Biomedical Research and Medical Practice >New Doppler-based imaging method in echocardiography with applications in blood/tissue segmentation.
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New Doppler-based imaging method in echocardiography with applications in blood/tissue segmentation.

机译：超声心动图中基于多普勒的新成像方法及其在血液/组织分割中的应用。

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摘要

A parametric model for the ultrasound signals from blood and tissue is developed and a new imaging method, knowledge-based imaging, is defined. This method utilizes the likelihood ratio function to classify blood and tissue signals. The method separates blood and tissue signals by the difference in movement patterns in addition to the difference in powers. The prior information about the levels of expected system white noise and clutter noise are utilized to enhance the image quality. The implementation of knowledge-based imaging is outlined, and some knowledge-based images with different parameter settings are visually compared with a second-harmonic image, a fundamental image and a bandwidth image. In order to understand the parameter estimation process a computer simulation is introduced to outline the differences between the imaging methods. The apparent error rates are calculated in any reasonable tissue to blood signal ratio, tissue to white noise ratio and clutter to white noise ratio. A discussion of further development of knowledge-based imaging is also described in this paper.
机译：建立了用于血液和组织超声信号的参数模型，并定义了一种新的成像方法，即基于知识的成像。该方法利用似然比函数对血液和组织信号进行分类。该方法通过除功率差异之外的移动方式差异来分离血液和组织信号。利用有关预期系统白噪声和杂波噪声水平的先验信息来提高图像质量。概述了基于知识的成像的实现，并且将具有不同参数设置的一些基于知识的图像与二次谐波图像，基本图像和带宽图像进行了视觉比较。为了理解参数估计过程，引入了计算机仿真以概述成像方法之间的差异。在任何合理的组织与血液信号之比，组织与白噪声之比以及杂波与白噪声之比中计算出表观错误率。本文还讨论了基于知识的成像的进一步发展。

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