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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

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

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2023

Kód důvěrnosti údajů

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

Název statě ve sborníku

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

—

Počet stran výsledku

12

Strana od-do

143-154

Název nakladatele

Springer Science and Business Media Deutschland GmbH

Místo vydání

Berlín

Místo konání akce

Meloneras

Datum konání akce

12. 7. 2023

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—