Improvement of displacement estimation of breast tissue in ultrasound elastography using the monogenic signal

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• 作者：Taher Slimi ; Ines Marzouk Moussa ; Tarek Kraiem…
• 关键词：Breast static elastography ; Displacement estimation ; Monogenic signal ; Shrinkage wavelets
• 刊名：BioMedical Engineering OnLine
• 出版年：2017
• 出版时间：December 2017
• 年：2017
• 卷：16
• 期：1
• 全文大小：5056KB
• 刊物类别：Engineering
• 刊物主题：Biomedical Engineering; Biomaterials; Biotechnology; Biomedical Engineering/Biotechnology;
• 出版者：BioMed Central
• ISSN：1475-925X
• 卷排序：16

文摘

BackgroundIn breast ultrasound elastography, tissues displacements estimation is obtained through a technique that follows the evolution of tissues under stress. However, during the acquisition of B-mode images, tissue displacements are often contaminated with multiplicative noise caused by changes in the speckle pattern in the tissue. Thus, the application of monogenic signal technique on the B-mode image in order to estimate displacement tissue, result in a presence of amplified noise in the deformation tissue image, which severely obscures the useful information. In this paper, we propose a new method based on the monogenic features, that is to improve the old monogenic signal (OMS) technique by improving the filtering step, so that the use of an effective denoising technique is enough to ensure a good estimation of displacement tissue. Our proposed method is based on the use of a robust filtering technique combined with the monogenic model.