Three-Dimensional Representation and Visualization of High-Grade and Low-Grade Glioma by Nakagami Imaging

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F23%3A50020523" target="_blank" >RIV/62690094:18450/23:50020523 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1007/978-3-031-34953-9_11" target="_blank" >http://dx.doi.org/10.1007/978-3-031-34953-9_11</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-031-34953-9_11" target="_blank" >10.1007/978-3-031-34953-9_11</a>

Result language

angličtina

Original language name

Three-Dimensional Representation and Visualization of High-Grade and Low-Grade Glioma by Nakagami Imaging

Original language description

Three-dimensional (3D) visualization of the brain tumors reconstructed from the two-dimensional (2D) magnetic resonance imaging (MRI) sequences plays an important role in volumetric calculations. The reconstructions are usually executed using the fluid attenuated inversion recovery (FLAIR) sequences, where the whole tumors appear brighter than the healthy surrounding tissues. Without any processing; however, reconstruction results might be inconclusive; therefore, we propose a mathematical m-parametric Nakagami imaging for highlighting the lesions. The raw 2D FLAIR MRI images are taken from BraTS 2012 dataset and the highlighted images are generated by the Nakagami imaging. The information on the MRI slices is compiled in three-layered Nakagami images for better visualization of the high-grade and low-grade glioma in 3D space. By the flexible m-parametric design, on the other hand, the reconstructed images might easily be adjusted according to the GT images for precise representation. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

—

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2023

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

ISBN

978-3-031-34952-2

ISSN

0302-9743

e-ISSN

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Number of pages

12

Pages from-to

143-154

Publisher name

Springer Science and Business Media Deutschland GmbH

Place of publication

Berlín

Event location

Meloneras

Event date

Jul 12, 2023

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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