Detail publikace

Analysis of brain tumors based on line of interest

ŠIRŮČKOVÁ, K. SOLÁR, P. MARCOŇ, P.

Originální název

Analysis of brain tumors based on line of interest

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

Due to the high resolution of soft tissue, magnetic resonance imaging plays a crucial role in the diagnosis and therapy planning in the neurosurgery field whereas it is necessary to determine which pathology in the brain tissue is involved. Glioblastoma multiforme, metastatic tumors and abscesses are examined in detail from magnetic resonance images. In clinical practice, all mentioned pathologies are diagnosed through invasive methods in the form of biopsy followed by histology of the affected tissue. This work is focused on an alternative non-invasive method of tumor diagnosis. The method is based on the data analysis from defined curves (drawn into the apparent diffusion images) that lead from the tumor area. The analysis of curves could lead to non-invasive diagnostics of the pathological tissue.

Klíčová slova

Magnetic resonance imaging, apparent diffusion coefficient, glioblastoma multiforme, metastasis, abscess

Autoři

ŠIRŮČKOVÁ, K.; SOLÁR, P.; MARCOŇ, P.

Vydáno

26. 4. 2022

Nakladatel

Brno University of Technology, Faculty of Electrical Engineering and Communication

Místo

Brno

ISBN

978-80-214-6029-4

Kniha

Proceedings I of the 28th Conference STUDENT EEICT 2022 General Papers

Edice

1

Strany od

255

Strany do

258

Strany počet

4

URL

https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2022_sbornik_1_v2.pdf

BibTex

@inproceedings{BUT178502,
  author="Kateřina {Novotná} and Peter {Solár} and Petr {Marcoň}",
  title="Analysis of brain tumors based on line of interest",
  booktitle="Proceedings I of the 28th Conference STUDENT EEICT 2022 General Papers",
  year="2022",
  series="1",
  pages="255--258",
  publisher="Brno University of Technology, Faculty of Electrical Engineering and Communication",
  address="Brno",
  isbn="978-80-214-6029-4",
  url="https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2022_sbornik_1_v2.pdf"
}