13 March 2007 Sub-pixel compounding from elasticity imaging data
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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.
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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); doi: 10.1117/12.711649; https://doi.org/10.1117/12.711649
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