Publication detail

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

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

Original Title

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

English Title

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

Type

conference paper

Language

en

Original Abstract

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.

English abstract

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.

Keywords

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

RIV year

2009

Released

06.07.2009

Location

Santorini, Greece

ISBN

978-1-4244-3298-1

Book

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

Pages from

100

Pages to

106

Pages count

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",
  annote="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.",
  booktitle="16th International Conference on Digital Signal Processing (DSP 2009)",
  chapter="31017",
  howpublished="electronic, physical medium",
  year="2009",
  month="july",
  pages="100--106",
  type="conference paper"
}