Application of an artificial intelligence segmentation for deep hyperthermia treatment planning in the pelvic region

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21460%2F23%3A00370894" target="_blank" >RIV/68407700:21460/23:00370894 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.14311/AP.2023.63.0383" target="_blank" >https://doi.org/10.14311/AP.2023.63.0383</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.14311/AP.2023.63.0383" target="_blank" >10.14311/AP.2023.63.0383</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Application of an artificial intelligence segmentation for deep hyperthermia treatment planning in the pelvic region

Popis výsledku v původním jazyce

During a microwave hyperthermia oncology treatment, the target region temperature is elevated to the temperatures of 40–44 °C, which improves the therapeutic effect of a standard radiotherapy and/or chemotherapy treatments. Amplitudes and phases of antenna input signals in the phased array setup surrounding the 3D patient model are optimised with respect to maximise the energy deposition in the target region. In this study, we successfully integrated an automatic artificial intelligence segmentation routine, used for patient-specific 3D model generation, into the hyperthermia treatment planning process. This allows us to apply more realistic patient 3D model for the online hyperthermia guidance including detailed retrospective analyses of the overall treatment quality, possibly leading to a widespread clinical use of the hyperthermia treatment planning.

Název v anglickém jazyce

Application of an artificial intelligence segmentation for deep hyperthermia treatment planning in the pelvic region

Popis výsledku anglicky

During a microwave hyperthermia oncology treatment, the target region temperature is elevated to the temperatures of 40–44 °C, which improves the therapeutic effect of a standard radiotherapy and/or chemotherapy treatments. Amplitudes and phases of antenna input signals in the phased array setup surrounding the 3D patient model are optimised with respect to maximise the energy deposition in the target region. In this study, we successfully integrated an automatic artificial intelligence segmentation routine, used for patient-specific 3D model generation, into the hyperthermia treatment planning process. This allows us to apply more realistic patient 3D model for the online hyperthermia guidance including detailed retrospective analyses of the overall treatment quality, possibly leading to a widespread clinical use of the hyperthermia treatment planning.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

20601 - Medical engineering

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 periodika

Acta Polytechnica

ISSN

1210-2709

e-ISSN

1805-2363

Svazek periodika

63

Číslo periodika v rámci svazku

6

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

7

Strana od-do

383-389

Kód UT WoS článku

001143265100001

EID výsledku v databázi Scopus

2-s2.0-85188099536