Title :
Ultrasound Despeckling for Contrast Enhancement
Author :
Tay, Peter C. ; Garson, Christopher D. ; Acton, Scott T. ; Hossack, John A.
Author_Institution :
Dept. of Eng. & Technol., Western Carolina Univ., Cullowhee, NC, USA
fDate :
7/1/2010 12:00:00 AM
Abstract :
Images produced by ultrasound systems are adversely hampered by a stochastic process known as speckle. A despeckling method based upon removing outlier is proposed. The method is developed to contrast enhance B-mode ultrasound images. The contrast enhancement is with respect to decreasing pixel variations in homogeneous regions while maintaining or improving differences in mean values of distinct regions. A comparison of the proposed despeckling filter is compared with the other well known despeckling filters. The evaluations of despeckling performance are based upon improvements to contrast enhancement, structural similarity, and segmentation results on a Field II simulated image and actual B-mode cardiac ultrasound images captured in vivo.
Keywords :
biomedical ultrasonics; cardiology; image denoising; image enhancement; image segmentation; iterative methods; medical image processing; stochastic processes; B-mode cardiac ultrasound images; cardiac ultrasound images; contrast enhancement; despeckling filter; image segmentation; stochastic process; ultrasound despeckling; vivo; Algorithms; Animals; Computer Simulation; Echocardiography; Image Processing, Computer-Assisted; Mice; Phantoms, Imaging; Ultrasonography;
Journal_Title :
Image Processing, IEEE Transactions on
DOI :
10.1109/TIP.2010.2044962