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An iterative constrained least squares filter for ultrasound image deconvolution

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conference contribution
posted on 2024-07-11, 13:23 authored by Wee Soon Yeoh, Cishen Zhang, Ming Chen
This paper describes how the recently developed constrained least squares (CLS) filtering algorithm can be made iterative to improve the resolution gain (RG) of medical ultrasound images. We propose the use of the iterative CLS (ICLS) filter, by incorporating the recently proposed ultrasound tissue model, to account for the random fluctuations of the tissue signal within the received ultrasound radio frequency (RF) echo signal. The resulting improvement in RG is demonstrated by eight different abdomen ultrasound images where progressive improvements in both the axial and lateral directions can be observed.

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ISBN

1424400325

ISSN

0589-1019

Journal title

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

Conference name

Annual International Conference of the IEEE Engineering in Medicine and Biology

Pagination

3 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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