Medical ultrasound image denoising method based on wavelet transform and quick bilateral filtering

Abstract

A medical ultrasound image denoising method based on wavelet transform and quick bilateral filtering comprises the following steps of the first step of establishing a medical ultrasound image model, the second step of carrying out wavelet transform on an image obtained in the first step after logarithm transformation to obtain four frequency domains (LL1, LH1, HL1and HH1), continuously carrying out wavelet transform on the low frequency domain LL1 to obtain four frequency domains (LL2, LH2, HL2 and HH2) again and then repeating the step until resolving the maximum layer number, the third step of carrying out quick bilateral filtering on the low frequency portion (LLJ) at the last layer, the fourth step of carrying out threshold value method shrinkage on wavelet coefficients of the high frequency portions (LHj, HLj and HHj) of all layers and the fifth step of carrying out wavelet inverse transformation to obtain the denoised medical ultrasound image. In addition, the J is 1, 2, ..., J. If denoised ultrasound envelope signals are wanted, exponential transformation is carried out on the ultrasound image obtained in the fifth step.

Description

technical field [0001] The invention is applied to the field of medical image denoising, and a denoising method based on wavelet transform and fast bilateral filtering suitable for medical ultrasonic images is designed. Background technique [0002] In the field of medical imaging, imaging technologies such as ultrasound imaging, CT, and MRI have been applied in medical clinical diagnosis. Ultrasound imaging is safer than other imaging techniques because it is non-invasive, non-radioactive, fast and convenient. Especially in clinical applications such as observing fetal growth in pregnant women and diagnosing abdominal organ lesions, the use of ultrasound imaging technology is even more important. [0003] According to the statistics of breast cancer in women given by the American Cancer Society in 2013, in the past year, there were 232,340 new cases of invasive breast cancer and 39,620 deaths from breast cancer in American women. The main technology for detecting human br...

AI Technical Summary

Problems solved by technology

Through experiments, although the complexity of the adaptive filtering method is low, it often blurs the details of the image, and the suppression effect on speckle noise is not very ideal.

The anisotropic diffusion denoising method has a strong denoising ability, but the result may be over-smoothed

The non-local denoising algorithm has an ideal suppression effect on speckle noise, but this kind of denoising method has high complexity and is not easy to meet the real-time requirements of medical ultrasound imaging system, so it is often used in the post-denoising processing of medical ultrasound images

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