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Constrained least squares filtering algorithm for ultrasound image deconvolution

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posted on 2024-07-11, 13:23 authored by Wee Soon Yeoh, Cishen Zhang
A new medical ultrasound tissue model is considered in this paper, which incorporates random fluctuations of the tissue response and provides more realistic interpretation of the received pulse-echo ultrasound signal. Using this new model, we propose an algorithm for restoration of the degraded ultrasound image. The proposed deconvolution is a modification of the classical regularization technique which combines Wiener filter and the constrained least squares (LS) algorithm for restoration of the ultrasound image. The performance of the algorithm is evaluated based on both the simulated phantom images and real ultrasound radio frequency (RF) data. The results show that the algorithm can provide improved ultrasound imaging performance in terms of the resolution gain. The deconvolved images visually show better resolved tissue structures and reduce speckle, which are confirmed by a medical expert.

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ISSN

0018-9294

Journal title

IEEE Transactions on Biomedical Engineering

Volume

53

Issue

10

Pagination

6 pp

Publisher

IEEE

Copyright statement

Copyright © 2006 IEEE. The published version is reproduced in accordance with the copyright policy of the publisher. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in oTher works must be obtained from The IEEE.

Language

eng

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