Roy Rahul, Ghosh Susmita, Ghosh Ashish
Department of Computer Science and Engineering, National Institute of Science and Technology, Berhampur, India.
Department of Computer Science and Engineering, Jadavpur University, Kolkata, India.
Comput Biol Med. 2020 May;120:103746. doi: 10.1016/j.compbiomed.2020.103746. Epub 2020 Apr 9.
This article presents a novel ultrasound image standardization approach. This method aims to preserve the non-linear relationship in the echo-textures while ensuring the endurance in the transformed image. This is achieved by utilizing the concept of histogram specification. A reference cumulative distribution function (CDF) of a considered distribution is used to process the test images. Initially, the shape and scale parameter of the distribution are estimated for each type of echo-texture from the reference ultrasound images of a particular organ. These parameters are used to estimate the prototype parameter set. The obtained prototype parameter set, along with a distribution function, is then used to construct a reference CDF. This CDF, in turn, is used as a transfer function in the histogram specification technique for standardizing the given input image. The efficiency and stability of the proposed approach are investigated and compared with the linear scaling technique. Four measures are used to evaluate the algorithms on three data sets. The results show that the proposed approach provides better standardization of images and is invariant to the gain of the scanning device as opposed to linear scaling.
本文提出了一种新颖的超声图像标准化方法。该方法旨在保留回波纹理中的非线性关系，同时确保变换后图像的耐久性。这是通过利用直方图规定的概念来实现的。使用所考虑分布的参考累积分布函数（CDF）来处理测试图像。最初，从特定器官的参考超声图像中为每种类型的回波纹理估计分布的形状和尺度参数。这些参数用于估计原型参数集。然后，将获得的原型参数集与分布函数一起用于构建参考CDF。该CDF进而用作直方图规定技术中的传递函数，用于对给定的输入图像进行标准化。研究了所提出方法的效率和稳定性，并与线性缩放技术进行了比较。使用四种度量在三个数据集上评估算法。结果表明，与线性缩放相反，所提出的方法提供了更好的图像标准化，并且对扫描设备的增益具有不变性。
