Department of Computer Science and Information Engineering, National Cheng Kung University, No. 1, Ta-Hsueh Road, Tainan, Taiwan, Republic of China.
J Digit Imaging. 2010 Jun;23(3):246-57. doi: 10.1007/s10278-008-9172-6. Epub 2009 Jan 7.
The quality of ultrasound images is usually influenced by speckle noise and the temporal decorrelation of the speckle patterns. To reduce the speckle noise, compounding techniques have been widely applied. Partially correlated images scanned on the same subject cross-section are combined to generate a compound image with improved image quality. However, the compounding technique might introduce image blurring if the transducer or the target moves too fast. This blurring effect becomes especially critical when assessing tissue deformation in clinical motion examinations. In this paper, an ultrasound motion compounding system is proposed to improve the quality of ultrasound motion sequences. The proposed motion compounding technique uses a hierarchical adaptive feature weighted motion estimation method to realign the frames before compounding. Each frame is first registered and warped to the reference frame before being compounded to reduce the speckle noise. Experimental results showed that the motion could be assessed accurately and better visualization could be achieved for the compound images, with improved signal-to-noise and contrast-to-noise ratios.
超声图像的质量通常受到斑点噪声和斑点图案的时间去相关的影响。为了减少斑点噪声,复合技术得到了广泛的应用。对同一主体横截面上扫描的部分相关图像进行组合,生成具有改善图像质量的复合图像。然而,如果换能器或目标移动太快,复合技术可能会引入图像模糊。当评估临床运动检查中的组织变形时,这种模糊效应变得尤为关键。本文提出了一种超声运动复合系统,以提高超声运动序列的质量。所提出的运动复合技术使用分层自适应特征加权运动估计方法在复合前对帧进行重新对准。在复合之前,首先对每一帧进行注册和变形,以减少斑点噪声。实验结果表明,该运动可以被准确地评估,并且可以实现复合图像的更好可视化,提高了信噪比和对比噪声比。