b超图像去斑和散斑分量的估计

J. Seabra, J. Sanches
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引用次数: 15

摘要

编码在超声斑点中的信息经常被丢弃,但人们普遍认为这种现象依赖于组织的固有声学特性。在本文中,我们提出了一种鲁棒的方法来估计从超声数据去斑点和斑点的成分,目的是组织表征。去斑点方法可以方便地处理射频(RF)或b模式数据,有助于改善解剖细节的可视化,同时提供有用的领域,从中提取回声性和纹理特征。利用合成和真实超声数据,讨论了射频图像检索和去斑方法的充分性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On estimating de-speckled and speckle components from B-mode ultrasound images
The information encoded in ultrasound speckle is often discarded but it is widely recognized that this phenomenon is dependent of the intrinsic acoustic properties of tissues. In this paper we propose a robust method to estimate the de-speckled and speckle components from the ultrasound data with the purpose of tissue characterization. A de-speckling method, which can conveniently work with either Radio Frequency (RF) or B-mode data, contributes to an improvement on the visualization of anatomical details, while providing useful fields from where echogenicity and texture features can be extracted. The adequacy of the RF image retrieval and despeckling methods are tackled using both synthetic and real ultrasonic data.
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