Publication result detail

Tissue Models and Speckle Reduction in Medical Ultrasound Images

Kolář Radim, Jiří Jan

Original Title

Tissue Models and Speckle Reduction in Medical Ultrasound Images

English Title

Tissue Models and Speckle Reduction in Medical Ultrasound Images

Type

Paper in proceedings (conference paper)

Original Abstract

This paper presents a new method for speckle noise reduction in medical ultrasound images. It is based on the statistical description of the envelope of ultrasound signal by the virtue of the Nakagami-m distribution. Parameter of this distribution is used to adjust an adaptive filter.

English abstract

This paper presents a new method for speckle noise reduction in medical ultrasound images. It is based on the statistical description of the envelope of ultrasound signal by the virtue of the Nakagami-m distribution. Parameter of this distribution is used to adjust an adaptive filter.

Keywords

speckle statistic, adaptive fitlering, statistical distribution

Key words in English

speckle statistic, adaptive fitlering, statistical distribution

Authors

Kolář Radim, Jiří Jan

Released

01.01.2005

Publisher

Lecture Notes in Computer Science

ISBN

3-540-26320-9

Book

Image Analysis

Edition

Springer

ISBN

0302-9743

Periodical

Lecture Notes in Computer Science

Volume

3540

Number

3540

State

Federal Republic of Germany

Pages from

1017

Pages to

1026

Pages count

10

BibTex

@inproceedings{BUT15315,
  author="Radim {Kolář} and Jiří {Jan}",
  title="Tissue Models and Speckle Reduction in Medical Ultrasound Images",
  booktitle="Image Analysis",
  year="2005",
  series="Springer",
  journal="Lecture Notes in Computer Science",
  volume="3540",
  number="3540",
  pages="1017--1026",
  publisher="Lecture Notes in Computer Science",
  isbn="3-540-26320-9",
  issn="0302-9743"
}