Paper
13 March 2007 Sub-pixel compounding from elasticity imaging data
Zhi Yang, Sumedha Sinha, Rebecca C. Booi, Marilyn A. Roubidoux, Bing Ma, J. Brian Fowlkes, Gerald L. LeCarpentier, Paul L. Carson
Author Affiliations +
Abstract
Sub-pixel compounding is a technique that synthesizes the information of an image sequence to form a betterresolved and speckle reduced image. To avoid extra data acquisition time and patient exposure, reuse of the existing data is highly desired. In elasticity imaging, a set of images with slight changes due to deformation is produced, which provides an ideal input for the sub-pixel compounding process. In this paper, a brief review of the resolution enhancement techniques in ultrasound imaging will be provided, and then, a diffusion-regularized, least square approach is presented for sub-pixel compounding image reconstruction. Based on the results, we suggest that (1) B-mode images from elastic imaging are suitable data for sub-pixel compounding and a speckle noise reduced higher-resolution image is a co-product of elasticity imaging; (2) for breast diagnosis, resolution improvement is of strong interest since better depiction of the interior and exterior structures of a tumor provides important detection and diagnostic information; (3) a similar approach could be extended to elasticity imaging with other modalities.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhi Yang, Sumedha Sinha, Rebecca C. Booi, Marilyn A. Roubidoux, Bing Ma, J. Brian Fowlkes, Gerald L. LeCarpentier, and Paul L. Carson "Sub-pixel compounding from elasticity imaging data", Proc. SPIE 6510, Medical Imaging 2007: Physics of Medical Imaging, 651029 (13 March 2007); https://doi.org/10.1117/12.711649
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Speckle

Image resolution

Ultrasonography

Breast

Image compression

Image processing

Image restoration

Back to Top