Original title: Analysis of brain tumors based on line of interest
Authors: Širůčková, K. ; Solár, P. ; Marcoň, P.
Document type: Papers
Language: eng
Publisher: Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
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: abscess; apparent diffusion coefficient; glioblastoma multiforme; Magnetic resonance imaging; metastasis
Host item entry: Proceedings I of the 28st Conference STUDENT EEICT 2022: General papers, ISBN 978-80-214-6029-4

Institution: Brno University of Technology (web)
Document availability information: Fulltext is available in the Brno University of Technology Digital Library.
Original record: http://hdl.handle.net/11012/209340

Permalink: http://www.nusl.cz/ntk/nusl-524767


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