Multiscale Nonlinear Diffusion and Shock Filter for Ultrasound Image Enhancement

  • Authors:

  • Fan Zhang;Yang Mo Yoo;Yongmin Kim;Lichen Zhang;Liang Mong Koh

  • Affiliations:

  • Nanyang Technological University, Singapore;University of Washington, Seattle;University of Washington, Seattle;Nanyang Technological University, Singapore;Nanyang Technological University, Singapore

  • Venue:
  • CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
  • Year:
  • 2006

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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.