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Distance estimation in ultrasound images using specific decorrelation curves
Authors:Fang Dong  Dong Zhang  Yan Yang  Yue Yang  Qianqing Qin
Affiliation:1. School of Physics and Technology, Wuhan University, Wuhan, 430072, Hubei, China
2. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, 430072, Hubei, China
Abstract:Speckle decorrelation algorithm is a method using decorrelation curves to estimate the distance between two neighboring ultrasound images. In this paper, we propose a new method to obtain specific decorrelation curves for distance estimation. First, several datasets of synthetic ultrasound (US) images are obtained by scanning different scatters. Second, based on the US datasets, we compute low-order moments and the elevational decorrelation curves. Finally, low-order moments are used to classify different scattering conditions. The suitable decorrelation curves can be acquired when the scattering style has been determined. With these steps, the relationship between low order moments and the decorrelation curves is established by the scattering conditions. This relationship proves to be efficient and applicable in the experiment section. The decorrelation curves chosen according to the relationship also perform well in the distance estimation test.
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