2 February 2012 Estimation of deformations in ultrasound images using dynamic programming
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Dynamic medical images may provide valuable information such as contraction rate, deformation and elasticity. For this purpose, it is fundamental to estimate the displacement of each point of interest. However, in ultrasound this task is hampered by speckle noise. The objective is the estimation of structure deformation and contraction using robust tracking of a set of representative points in a sequence of ultrasound images. The proposed approach is based on discrete optimization of joint displacement estimation via dynamic programming where the criteria involved joint intensity and morphology similarity. We also investigated the effect of initialization of the graph by maximization of Bhattacharyya coefficient. We evaluated in realistic numerical phantoms with speckle noise and compared with traditional approaches. Ten points were considered in the phantom and we applied several affine transformations to generate the deformed images as well as finite element based deformations. The average displacement error has decreased from 4.4 ± 6.6 pixels to 1.9 ± 2.5 pixels for the approach with proposed initialization with statistical significant difference at 5% level. In conclusion, we have shown that robust estimation of first point of contour provides a major improvement in the mapping of the contour points by dynamic programming.
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Sergio S. Furuie and Fernando M. Cardoso "Estimation of deformations in ultrasound images using dynamic programming", Proc. SPIE 8295, Image Processing: Algorithms and Systems X; and Parallel Processing for Imaging Applications II, 82951K (2 February 2012); doi: 10.1117/12.912091; https://doi.org/10.1117/12.912091

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