Publication detail

A Stochastic Method For Ultrasound Despeckling In Images Via Dynamic Weight Allocation

MANGIPUDI, P. BANNERJEE, P. DUTTA, M. ŘÍHA, K. DORAZIL, J.

Original Title

A Stochastic Method For Ultrasound Despeckling In Images Via Dynamic Weight Allocation

English Title

A Stochastic Method For Ultrasound Despeckling In Images Via Dynamic Weight Allocation

Type

conference paper

Language

en

Original Abstract

Medical and biological imaging modalities like ultrasound often contain noise that is non-linear in nature. Noise reduction via linear filtering algorithms often produce unimpressive results. Multiplicative noise like speckle noise is inherently present in medical ultrasound images, and it usually reduces the contrast between region of interest and the background. Recent algorithms like Bayesian methods have been used with some degree of success but they are computationally intensive. This paper presents an iterative algorithm for noise reduction in ultrasound images via dynamic weight allocation. Proposed method is fast and performs better in comparison to state-of-art techniques.

English abstract

Medical and biological imaging modalities like ultrasound often contain noise that is non-linear in nature. Noise reduction via linear filtering algorithms often produce unimpressive results. Multiplicative noise like speckle noise is inherently present in medical ultrasound images, and it usually reduces the contrast between region of interest and the background. Recent algorithms like Bayesian methods have been used with some degree of success but they are computationally intensive. This paper presents an iterative algorithm for noise reduction in ultrasound images via dynamic weight allocation. Proposed method is fast and performs better in comparison to state-of-art techniques.

Keywords

Ultrasound; speckle noise; denoising

Released

04.07.2018

Publisher

Faculty of Electrical Engineering and Communacation, Brno University of Technology

Location

Technická 3058/10, 616 00 Brno, Czech Republic

ISBN

978-1-5386-4695-3

Book

Proceedings of the 2018 41st International Conference on Telecommunications and Signal Processing

Pages from

228

Pages to

231

Pages count

4

URL

BibTex


@inproceedings{BUT148933,
  author="Parthasarathi {Mangipudi} and Parameswar {Bannerjee} and Malay Kishore {Dutta} and Kamil {Říha} and Jan {Dorazil}",
  title="A Stochastic Method For Ultrasound Despeckling In Images Via Dynamic Weight Allocation",
  annote="Medical and biological imaging modalities like ultrasound often contain noise that is non-linear in nature. Noise reduction via linear filtering algorithms often produce unimpressive results. Multiplicative noise like speckle noise is inherently present in medical ultrasound images, and it usually reduces the contrast between region of interest and the background. Recent algorithms like Bayesian methods have been used with some degree of success but they are computationally intensive. This paper presents an iterative algorithm for noise reduction in ultrasound images via dynamic weight allocation. Proposed method is fast and performs better in comparison to state-of-art techniques.",
  address="Faculty of Electrical Engineering and Communacation, Brno University of Technology",
  booktitle="Proceedings of the 2018 41st International Conference on Telecommunications and Signal Processing",
  chapter="148933",
  howpublished="online",
  institution="Faculty of Electrical Engineering and Communacation, Brno University of Technology",
  year="2018",
  month="july",
  pages="228--231",
  publisher="Faculty of Electrical Engineering and Communacation, Brno University of Technology",
  type="conference paper"
}