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Proceedings Paper

Sub-pixel compounding from elasticity imaging data
Author(s): Zhi Yang; Sumedha Sinha; Rebecca C. Booi; Marilyn A. Roubidoux; Bing Ma; J. Brian Fowlkes; Gerald L. LeCarpentier; Paul L. Carson
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Paper 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.

Paper Details

Date Published: 13 March 2007
PDF: 8 pages
Proc. SPIE 6510, Medical Imaging 2007: Physics of Medical Imaging, 651029 (13 March 2007); doi: 10.1117/12.711649
Show Author Affiliations
Zhi Yang, Univ. of Michigan (United States)
Sumedha Sinha, Univ. of Michigan (United States)
Rebecca C. Booi, Univ. of Michigan (United States)
Marilyn A. Roubidoux, Univ. of Michigan (United States)
Bing Ma, Univ. of Michigan (United States)
J. Brian Fowlkes, Univ. of Michigan (United States)
Gerald L. LeCarpentier, Univ. of Michigan (United States)
Paul L. Carson, Univ. of Michigan (United States)

Published in SPIE Proceedings Vol. 6510:
Medical Imaging 2007: Physics of Medical Imaging
Jiang Hsieh; Michael J. Flynn, Editor(s)

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