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

The result's identifiers

  • Result code in 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>

  • Result on the web

    <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>

Alternative languages

  • Result language

    angličtina

  • Original language name

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

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database

  • CEP classification

  • OECD FORD branch

    20601 - Medical engineering

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2023

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Acta Polytechnica

  • ISSN

    1210-2709

  • e-ISSN

    1805-2363

  • Volume of the periodical

    63

  • Issue of the periodical within the volume

    6

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    7

  • Pages from-to

    383-389

  • UT code for WoS article

    001143265100001

  • EID of the result in the Scopus database

    2-s2.0-85188099536