Publication detail

Data Processing in Studying the Temporomandibular Joint using MR Imagigng

SMÉKAL, Z. LIBERDA, O. MACHÁLKA, M. BARTUŠEK, K. ŠPRLÁKOVÁ, A.

Original Title

Data Processing in Studying the Temporomandibular Joint using MR Imagigng

English Title

Data Processing in Studying the Temporomandibular Joint using MR Imagigng

Type

conference proceedings

Language

en

Original Abstract

Magnetic resonance images (MRIs) are of very low resolution and contrast. An appropriate algorithm has been found, which consists of pre-processing the image by a smoothing filter, focusing, and four-phase level set segmentation. This method segments the image on the basis of the intensity of respective regions and is thus suitable to be applied to the above MR images, in which no sharp edges occur.

English abstract

Magnetic resonance images (MRIs) are of very low resolution and contrast. An appropriate algorithm has been found, which consists of pre-processing the image by a smoothing filter, focusing, and four-phase level set segmentation. This method segments the image on the basis of the intensity of respective regions and is thus suitable to be applied to the above MR images, in which no sharp edges occur.

Keywords

Magnetic Resonance Imaging, Temporomandibular Joint, Segmentation

Released

01.10.2009

Publisher

ESMRMB

Location

Antalya

ISBN

10334-009-0178-y

Book

ESMRMB 2009 Congress

Edition

první

Edition number

1

Pages from

527

Pages to

528

Pages count

2

Documents

BibTex


@proceedings{BUT65738,
  author="Zdeněk {Smékal} and Ondřej {Liberda} and MIlan {Machálka} and Karel {Bartušek} and Andrea {Šprláková}",
  title="Data Processing in Studying the Temporomandibular Joint using MR Imagigng",
  annote="Magnetic resonance images (MRIs) are of very low resolution and contrast. An appropriate algorithm has been found, which consists of pre-processing the image by a smoothing filter, focusing, and four-phase level set segmentation. This method segments the image on the basis of the intensity of respective regions and is thus suitable to be applied to the above MR images, in which no sharp edges occur.",
  address="ESMRMB",
  booktitle="ESMRMB 2009 Congress",
  chapter="65738",
  edition="první",
  institution="ESMRMB",
  year="2009",
  month="october",
  pages="527--528",
  publisher="ESMRMB",
  type="conference proceedings"
}