Publication 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

Czech Title

Modely tkání a eliminace speklí v lékařských ultrazvukových obrazech

English Title

Tissue Models and Speckle Reduction in Medical Ultrasound Images

Type

conference paper

Language

en

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.

Czech abstract

Prezentace adaptivní metody pro redukci speklí v ultrazvukových obrazech, která je založena na Nakagami modelu obálky RF signálu.

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

RIV year

2005

Released

01.01.2005

Publisher

Lecture Notes in Computer Science

ISBN

3-540-26320-9

Book

Image Analysis

Edition

Springer

Edition number

3540

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",
  annote="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.",
  address="Lecture Notes in Computer Science",
  booktitle="Image Analysis",
  chapter="15315",
  edition="Springer",
  institution="Lecture Notes in Computer Science",
  journal="Lecture Notes in Computer Science (IF 0,513)",
  number="3540",
  year="2005",
  month="january",
  pages="1017--1026",
  publisher="Lecture Notes in Computer Science",
  type="conference paper"
}