Detail publikace

Data processing in studying the temporomandibular joint, using MR imaging and sonographic techniques

SMÉKAL, Z. LIBERDA, O. BARTUŠEK, K. MIKULKA, J.

Originální název

Data processing in studying the temporomandibular joint, using MR imaging and sonographic techniques

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

The temporomandibular joint is one of the most complicated joints in the human body. Diagnosing its disorders is difficult because the pain is mistakenly taken for toothache, pain in the jaw bones, etc. The paper deals with a post-processing tomographic examination of temporomandibular joint. An interesting post-processing method was used to increase the contrast related to relaxation time T2. Both increasing the contrast and enhancing the arthritic region were realized by processing two MR images in different echo-times. The enhancement rate is realized on the basis of subjective MR image evaluation by the surgeon. Magnetic resonance images (MRIs) are of very low resolution and contrast. An appropriate algorithm has been found, which consists of preprocessing 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.

Klíčová slova

MRI, sonography, temporomandibular joint, wavelet transform, image segmentation

Autoři

SMÉKAL, Z.; LIBERDA, O.; BARTUŠEK, K.; MIKULKA, J.

Rok RIV

2009

Vydáno

6. 7. 2009

Místo

Santorini, Greece

ISBN

978-1-4244-3298-1

Kniha

16th International Conference on Digital Signal Processing (DSP 2009)

Strany od

100

Strany do

106

Strany počet

6

URL

BibTex

@inproceedings{BUT31017,
  author="Zdeněk {Smékal} and Ondřej {Liberda} and Karel {Bartušek} and Jan {Mikulka}",
  title="Data processing in studying the temporomandibular joint, using MR imaging and sonographic techniques",
  booktitle="16th International Conference on Digital Signal Processing (DSP 2009)",
  year="2009",
  pages="100--106",
  address="Santorini, Greece",
  isbn="978-1-4244-3298-1",
  url="http://www.dsp2009.org/"
}