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Detail publikačního výsledku
ŠIRŮČKOVÁ, K.; SOLÁR, P.; MARCOŇ, P.
Originální název
Analysis of brain tumors based on line of interest
Anglický název
Druh
Stať ve sborníku v databázi WoS či Scopus
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.
Anglický abstrakt
Klíčová slova
Magnetic resonance imaging, apparent diffusion coefficient, glioblastoma multiforme, metastasis, abscess
Klíčová slova v angličtině
Autoři
Rok RIV
2022
Vydáno
26.04.2022
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" }