Multiscale Nonlinear Diffusion and Shock Filter for Ultrasound Image Enhancement
Abstract
A new noise reduction and edge enhancement method, i.e., Laplacian pyramid-based nonlinear diffusion and shock filter (LPNDSF), is proposed for medical ultrasound imaging. In the proposed LPNDSF, a coupled nonlinear diffusion and shock filter process is applied in Laplacian pyramid domain of an image, to remove speckle and enhance edges simultaneously. The performance of the proposed method was evaluated on a phantom and a real ultrasound image. In the phantom study, we obtained an average gain of 0.55 and 1.11 in contrast-to-noise ratio compared to the speckle reducing anisotropic diffusion (SRAD) and nonlinear coherent diffusion (NCD), respectively. Also, the proposed LPNDSF showed clearer boundaries on the phantom and the real ultrasound image. These preliminary results indicate that the proposed LPNDSF can effectively reduce speckle noise while enhancing image edges for retaining subtle features.
Cite
Text
Zhang et al. "Multiscale Nonlinear Diffusion and Shock Filter for Ultrasound Image Enhancement." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2006. doi:10.1109/CVPR.2006.203Markdown
[Zhang et al. "Multiscale Nonlinear Diffusion and Shock Filter for Ultrasound Image Enhancement." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2006.](https://mlanthology.org/cvpr/2006/zhang2006cvpr-multiscale/) doi:10.1109/CVPR.2006.203BibTeX
@inproceedings{zhang2006cvpr-multiscale,
title = {{Multiscale Nonlinear Diffusion and Shock Filter for Ultrasound Image Enhancement}},
author = {Zhang, Fan and Yoo, Yang Mo and Kim, Yongmin and Zhang, Lichen and Koh, Liang Mong},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
year = {2006},
pages = {1972-1977},
doi = {10.1109/CVPR.2006.203},
url = {https://mlanthology.org/cvpr/2006/zhang2006cvpr-multiscale/}
}