title: Hexagonal adaptive filtering on compound ultrasound images.
abstract: 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.
authors.affiliation: Biomedical Engineering Program atUniversity of Connecticut, 260 Glenbrook Road, Unit 2247 Storrs, CT06269, USA. soniac@ engr.uconn.edu
authors.forename: Sonia H Contreras
authors.initials: SH
authors.lastname: Ortiz
authors.forename: Tsuicheng
authors.initials: T
authors.lastname: Chiu
authors.forename: Martin D
authors.initials: MD
authors.lastname: Fox
mesh_terms: D006801:Humans; D019047:Phantoms, Imaging; D014463:Ultrasonography