Publication detail

Analysis of brain tumors based on line of interest

ŠIRŮČKOVÁ, K. SOLÁR, P. MARCOŇ, P.

Original Title

Analysis of brain tumors based on line of interest

Type

conference paper

Language

English

Original Abstract

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.

Keywords

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

Authors

ŠIRŮČKOVÁ, K.; SOLÁR, P.; MARCOŇ, P.

Released

26. 4. 2022

Publisher

Brno University of Technology, Faculty of Electrical Engineering and Communication

Location

Brno

ISBN

978-80-214-6029-4

Book

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

Edition

1

Pages from

255

Pages to

258

Pages count

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"
}