@inproceedings{42570b4eaac343c0ac2ab777cd1c3cca,
title = "Wavelet shrinkage-based strain estimation for elastography",
abstract = "Presented in this paper is a wavelet shrinkage-based method for estimating soft tissue strain from displacement images. Through orthogonal wavelet decomposition, the displacement image is first split into a coarse approximate and several detail displacement sub-images in octave sub-bands. Then, all detail displacement sub-images are denoised through wavelet shrinkage. A final strain image is obtained by wavelet reconstruction from all strain sub-images, each of which is the direct gradient of a displacement sub-image. The new strain estimator was evaluated using a simple 2D simulation and an experimental phantom, both containing a stiffer inclusion in a softer background. Simulation and experimental results showed that the new method can be used to enhance the contrast-to-noise ratio (CNR) and signal-to-noise ratio (SNR) of the estimated strain image without sacrificing spatial resolution. Perhaps even more importantly, the new estimator is more time-efficient and holds potential for use in real-time elastography algorithms.",
keywords = "Displacement, Elastography, Gradient, Real-time performance, Strain estimation, Wavelet denoising",
author = "Lijun Xu and Bamber, \{Jeffrey C.\} and David MelodeLima",
year = "2005",
doi = "10.1109/ULTSYM.2005.1602790",
language = "英语",
isbn = "0780393821",
series = "Proceedings - IEEE Ultrasonics Symposium",
pages = "36--39",
booktitle = "2005 IEEE Ultrasonics Symposium",
note = "2005 IEEE Ultrasonics Symposium ; Conference date: 18-09-2005 Through 21-09-2005",
}