Conf Proc IEEE Eng Med Biol Soc 2011 ;2011:4856-9
Biomedical Engineering Program atUniversity of Connecticut, 260 Glenbrook Road, Unit 2247 Storrs, CT06269, USA. soniac@ engr.uconn.edu
This paper describes an approach to improve the contrast and signal to noise ratio on ultrasound images. Images with sub-pixel lateral displacements were re-sampled using a hexagonal grid, registered and compounded. The resultant image was filtered using a hexagonal adaptive masking filter. This approach was evaluated with simulated images and real images from a breast phantom. The results show total improvements in signal to noise ratio of up to 313% in simulated images, and 182% in phantom images. Contrast to noise ratio was improved by 286% in simulated images and 56% in phantom images.