Enhancement of Displacement Estimation of Breast Tissue in Ultrasound Elastography

Taher Slimi, Romaissa Tamali, H. Mahjoubi
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Abstract

Breast tissue displacements estimation in static ultrasound elastography, is a medical imaging technique which provides information on the local rigidity of tissues. Despite the fact that this technique has a major interest in clinical diagnosis, it suffers from increased deterioration due to the presence of speckle noise, artifacts and poor detail accuracy which appeared during the B-mode image acquisition process. Therefore, the application of Block Matching (BM) technique will greatly amplify the speckle noise and deteriorate the image quality. In this perspective, the implementation of an optimal technique is crucial for optimizing the quality of mammary displacements tissue. In this paper, we propose a new method based on the BM model that is to improve the old BM (OBM) technique. In this respect, an improvement of pre-processing step is satisfactory, in order to establish accurate tissue displacement estimation. The research was validated on a database of 20 patients with breast malignant tumor. Biophysical parameters has been adapted and used to eliminate artifacts and speckle noise, once the images are filtered; the BM model is implemented after to estimate tissue displacements. Based on the clinical results, quantitative analysis verifies that the tissue displacements estimated by our proposed strategy are more efficient than the OBM and Bilinear Deformable Block Matching (BDBM) techniques, our proposed approach gives better values in term of standard deviation (SD), higher contrast to noise ratio (CNR), greater peak signal-to-noise ratio (PSNR) and excellent structural similarity (SSIM) than OBM and BDBM techniques. The results of the proposed model are encouraging, allowing excellent estimates. The proposed model provides a new and appropriate solution for improving estimation of mammary tissue displacements. The proposed new strategy could be a powerful diagnostic tool to be used in clinical evaluation dedicated to breast ultrasound elastography.
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超声弹性成像中乳腺组织位移估计的增强
静态超声弹性成像中的乳房组织位移估计是一种医学成像技术,它提供了组织局部刚性的信息。尽管该技术在临床诊断中具有重要意义,但由于在b模式图像采集过程中出现的斑点噪声、伪影和较差的细节准确性,它的性能会越来越差。因此,块匹配(BM)技术的应用会极大地放大散斑噪声,降低图像质量。从这个角度来看,最佳技术的实施对于优化乳腺移位组织的质量至关重要。本文提出了一种基于BM模型的新方法,以改进旧的BM (OBM)技术。在这方面,改进预处理步骤是令人满意的,以建立准确的组织位移估计。该研究在20例乳腺恶性肿瘤患者的数据库中得到验证。生物物理参数已经适应并用于消除伪影和斑点噪声,一旦图像被过滤;然后利用BM模型估计组织位移。基于临床结果,定量分析验证了我们提出的方法比OBM和双线性可变形块匹配(BDBM)技术更有效地估计组织位移,我们提出的方法在标准偏差(SD)方面有更好的值,更高的对比噪声比(CNR),更高的峰值信噪比(PSNR)和良好的结构相似性(SSIM)比OBM和BDBM技术。所提出的模型的结果是令人鼓舞的,允许进行极好的估计。该模型为改进乳腺组织位移的估计提供了一种新的、合适的解决方案。该方法可作为乳腺超声弹性成像临床诊断的有力工具。
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