Detail publikace

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

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

Originální název

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

Anglický název

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

Jazyk

en

Originální abstrakt

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.

Anglický abstrakt

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.

Dokumenty

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"
}