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首页> 外文会议>20th International Computer Science amp; Engineering Conference: Smart Ubiquitous Computing amp; Knowledge >A novel technique of liver ultrasound image enhancement by modified Fourier transform for Bile Duct Cancer surveillance
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A novel technique of liver ultrasound image enhancement by modified Fourier transform for Bile Duct Cancer surveillance

机译：改进的傅里叶变换用于胆管癌监测的肝脏超声图像增强新技术

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摘要

The Bile Duct Cancer (Cholangiocarcinoma:CCA) is one of the problems for the public health in Thailand. The liver ultrasound image is the tool for the CCA surveillance. However, the liver ultrasound images contain motion blur and unsmooth image which decrease the CCA surveillance performance. This paper presents a new technique for the enhancement of the liver ultrasound image (ELU). The main idea of the ELU method is to compensate the motion blur of the liver ultrasound image. And then, the liver ultrasound images are smoothed by using ELU method. The proposed method consist of two processes which are the proposed modified Fourier transforms for the motion blur compensation (MFMC) method and liver ultrasound (LU) smoothing method. The MFMC method is performed in time domain that compensates the motion blur value into the liver ultrasound image by using the modified Fourier transform method. And then, the regions of liver ultrasound image are smoothed by the LU smoothing method which can diffuse the homogeneous region. To evaluate the proposed method performance, The Highlight line (HL), The Contrast to Noise Ratio (CNR) and the Equivalent number of looks (ENL) are applied to measure the performance. The experimental results showed that the proposed method is able to give the high enhanced performance for the liver ultrasound image than other methods.
机译：胆管癌（胆管癌：CCA）是泰国公共卫生的问题之一。肝脏超声图像是CCA监视的工具。但是，肝脏超声图像包含运动模糊和图像不平滑，从而降低了CCA监视性能。本文提出了一种增强肝脏超声图像（ELU）的新技术。 ELU方法的主要思想是补偿肝脏超声图像的运动模糊。然后，使用ELU方法对肝脏超声图像进行平滑处理。该方法包括两个过程，分别是针对运动模糊补偿（MFMC）方法和肝脏超声（LU）平滑方法的改进傅里叶变换。 MFMC方法在时域中执行，该时域通过使用改进的傅里叶变换方法将运动模糊值补偿到肝脏超声图像中。然后，通过LU平滑法对肝脏超声图像的区域进行平滑处理，可以扩散均匀区域。为了评估建议的方法性能，应用了突出显示线（HL），对比度与噪声比（CNR）和等效外观数（ENL）来衡量性能。实验结果表明，与其他方法相比，该方法在肝脏超声图像上具有较高的增强性能。

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