Detail publikace

Evaluation of Tissue Properties in MR Images

Originální název

Evaluation of Tissue Properties in MR Images

Anglický název

Evaluation of Tissue Properties in MR Images

Jazyk

en

Originální abstrakt

Image processing in biomedical applications is strongly developing issue. Many methods and approaches for image preprocessing, segmentation and visualization were described. This paper deals with image evaluation obtained by magnetic resonance tomography. Soft tissues can be observed in these images and their characteristics can be used to further processing and to diagnose diseases. Intensity distribution (mean, maximum, minimum, standard deviation and area) in regions of human head tissues are evaluated and compared for two healthy persons. The obtained values will be compared with the same parameters of unhealthy persons in studying jawbone diseases. The aim of this research is to Żnd relations between tissue parameters which can be observed by often available magnetic resonance measuring sequences (T1/T2 weighted images, diffusion weighted images). The relations and similarity of some tissues and regions in mentioned images could help to increase yield of data obtained by magnetic resonance tomography and thus use of MR to pathological tissues and diseases recognition which must currently be diagnoses byother, often invasive, methods.

Anglický abstrakt

Image processing in biomedical applications is strongly developing issue. Many methods and approaches for image preprocessing, segmentation and visualization were described. This paper deals with image evaluation obtained by magnetic resonance tomography. Soft tissues can be observed in these images and their characteristics can be used to further processing and to diagnose diseases. Intensity distribution (mean, maximum, minimum, standard deviation and area) in regions of human head tissues are evaluated and compared for two healthy persons. The obtained values will be compared with the same parameters of unhealthy persons in studying jawbone diseases. The aim of this research is to Żnd relations between tissue parameters which can be observed by often available magnetic resonance measuring sequences (T1/T2 weighted images, diffusion weighted images). The relations and similarity of some tissues and regions in mentioned images could help to increase yield of data obtained by magnetic resonance tomography and thus use of MR to pathological tissues and diseases recognition which must currently be diagnoses byother, often invasive, methods.

BibTex


@inproceedings{BUT93423,
  author="Jan {Mikulka} and Eva {Gescheidtová} and Petr {Marcoň} and Karel {Bartušek} and Andrea {Šprláková}",
  title="Evaluation of Tissue Properties in MR Images",
  annote="Image processing in biomedical applications is strongly developing issue. Many methods and approaches for image preprocessing, segmentation and visualization were described. This paper deals with image evaluation obtained by magnetic resonance tomography. Soft tissues can be observed in these images and their characteristics can be used to further processing and to diagnose diseases. Intensity distribution (mean, maximum, minimum, standard deviation and area) in regions of human head tissues are evaluated and compared for two healthy persons. The obtained values will be compared with the same parameters of unhealthy persons in studying jawbone diseases. The aim of this research is to Żnd relations between tissue parameters which can be observed by often available magnetic resonance measuring sequences (T1/T2 weighted images, diffusion weighted images). The relations and similarity of some tissues and regions in mentioned images could help to increase yield of data obtained by magnetic resonance tomography and thus use of MR to pathological tissues and diseases recognition which must currently be diagnoses byother, often invasive, methods.",
  booktitle="PIERS 2012 in Moscow Proceedings",
  chapter="93423",
  howpublished="electronic, physical medium",
  year="2012",
  month="august",
  pages="339--342",
  type="conference paper"
}