• Speckle Noise Reduction Techni...

*Result*: Speckle Noise Reduction Techniques in Ultrasound Imaging: A comprehensive review of the last two decades (2005-2024).

Title:
Speckle Noise Reduction Techniques in Ultrasound Imaging: A comprehensive review of the last two decades (2005-2024).
Authors:
Sivaanpu A; Department of Radiology and Diagnostic Imaging, University of Alberta, Edmonton, Alberta, Canada., Punithakumar K; Department of Radiology and Diagnostic Imaging, University of Alberta, Edmonton, Alberta, Canada., Zheng R; School of Information Science and Technology, ShanghaiTech University, Shanghai, China., Nguyen KT; Department of Radiology and Diagnostic Imaging, University of Alberta, Edmonton, Alberta, Canada., Noga M; Department of Radiology and Diagnostic Imaging, University of Alberta, Edmonton, Alberta, Canada., Ta D; Department of Radiology and Diagnostic Imaging, University of Alberta, Edmonton, Alberta, Canada; College of Biomedical Engineering, Fudan University, Shanghai, China; State Key Laboratory of Integrated Chips and Systems, Fudan University, Shanghai, China., Lou EHM; Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Alberta, Canada., Le LH; Department of Radiology and Diagnostic Imaging, University of Alberta, Edmonton, Alberta, Canada; State Key Laboratory of Integrated Chips and Systems, Fudan University, Shanghai, China. Electronic address: lawrence.le@ualberta.ca.
Source:
Computer methods and programs in biomedicine [Comput Methods Programs Biomed] 2026 Feb 01; Vol. 274, pp. 109150. Date of Electronic Publication: 2025 Nov 06.
Publication Type:
Journal Article; Review
Language:
English
Journal Info:
Publisher: Elsevier Scientific Publishers Country of Publication: Ireland NLM ID: 8506513 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1872-7565 (Electronic) Linking ISSN: 01692607 NLM ISO Abbreviation: Comput Methods Programs Biomed Subsets: MEDLINE
Imprint Name(s):
Publication: Limerick : Elsevier Scientific Publishers
Original Publication: Amsterdam : Elsevier Science Publishers, c1984-
MeSH Terms:
Image Processing, Computer-Assisted*/methods , Signal-To-Noise Ratio*, Ultrasonography/methods ; Humans ; Algorithms
Contributed Indexing:
Keywords: Despeckling; Image denoising; Image processing; Neural networks; Speckle noise; Ultrasound images
Entry Date(s):
Date Created: 20251114 Date Completed: 20251207 Latest Revision: 20251207
Update Code:
20260130
DOI:
10.1016/j.cmpb.2025.109150
PMID:
41237535
Database:
MEDLINE

*Further Information*

*Ultrasound imaging has become a widely used medical modality over the past few decades. Despite technological advances, ultrasound images are susceptible to inherent noise that arises from tissue inhomogeneities and other acquisition-related uncertainties. The presence of noise degrades image quality and impacts diagnostic accuracy, necessitating the development of effective denoising techniques. In ultrasound denoising, the preservation of important structural information while reducing noise poses a significant challenge. Therefore, various techniques have been presented to enhance the quality of ultrasound images, each method having its own assumptions, strengths, and limitations. In this study, a comprehensive survey of significant work on ultrasound image denoising was presented. Understanding the nature of noise in ultrasound images and selecting an appropriate denoising method tailored to specific needs can be challenging for researchers. To address these challenges, basics of ultrasound imaging, including the characteristics of noise in ultrasound images, is clearly explained in this paper. This study involved a comprehensive search across six digital databases, considering studies published over the last two decades, up to 2024. Initially, 538 studies were identified. From these, 85 studies were selected for detailed examination. For these 85 studies, we used snowballing and direct searches to locate additional relevant publications by the researchers and their associated research groups. Ultimately, we reviewed a total of 97 studies focusing on speckle noise reduction in ultrasound imaging. In addition, the merits and drawbacks of existing methods are analyzed and tabulated.
(Copyright © 2025 The Authors. Published by Elsevier B.V. All rights reserved.)*

*Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.*