Application of an artificial intelligence segmentation for deep hyperthermia treatment planning in the pelvic region
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 su...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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CTU Central Library
2023-12-01
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| Series: | Acta Polytechnica |
| Subjects: | |
| Online Access: | https://ojs.cvut.cz/ojs/index.php/ap/article/view/9220 |
| _version_ | 1797357615470084096 |
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| author | Tomas Drizdal Marek Novak |
| author_facet | Tomas Drizdal Marek Novak |
| author_sort | Tomas Drizdal |
| collection | DOAJ |
| 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.
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| first_indexed | 2024-03-08T14:47:48Z |
| format | Article |
| id | doaj.art-36fbe94d14e3433293edac1be0f99586 |
| institution | Directory Open Access Journal |
| issn | 1805-2363 |
| language | English |
| last_indexed | 2024-03-08T14:47:48Z |
| publishDate | 2023-12-01 |
| publisher | CTU Central Library |
| record_format | Article |
| series | Acta Polytechnica |
| spelling | doaj.art-36fbe94d14e3433293edac1be0f995862024-01-11T07:58:17ZengCTU Central LibraryActa Polytechnica1805-23632023-12-0163610.14311/AP.2023.63.0383Application of an artificial intelligence segmentation for deep hyperthermia treatment planning in the pelvic regionTomas Drizdal0Marek Novak1Czech Technical University in Prague, Faculty of Biomedical Engineering, Department of Biomedical Technology, nám. Sítná 3105, 272 01 Kladno, Czech RepublicCzech Technical University in Prague, Faculty of Biomedical Engineering, Department of Biomedical Technology, nám. Sítná 3105, 272 01 Kladno, Czech Republic 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. https://ojs.cvut.cz/ojs/index.php/ap/article/view/9220hyperthermiaspecific absorption ratephased array applicatorhyperthermia treatment planning |
| spellingShingle | Tomas Drizdal Marek Novak Application of an artificial intelligence segmentation for deep hyperthermia treatment planning in the pelvic region Acta Polytechnica hyperthermia specific absorption rate phased array applicator hyperthermia treatment planning |
| title | Application of an artificial intelligence segmentation for deep hyperthermia treatment planning in the pelvic region |
| title_full | Application of an artificial intelligence segmentation for deep hyperthermia treatment planning in the pelvic region |
| title_fullStr | Application of an artificial intelligence segmentation for deep hyperthermia treatment planning in the pelvic region |
| title_full_unstemmed | Application of an artificial intelligence segmentation for deep hyperthermia treatment planning in the pelvic region |
| title_short | Application of an artificial intelligence segmentation for deep hyperthermia treatment planning in the pelvic region |
| title_sort | application of an artificial intelligence segmentation for deep hyperthermia treatment planning in the pelvic region |
| topic | hyperthermia specific absorption rate phased array applicator hyperthermia treatment planning |
| url | https://ojs.cvut.cz/ojs/index.php/ap/article/view/9220 |
| work_keys_str_mv | AT tomasdrizdal applicationofanartificialintelligencesegmentationfordeephyperthermiatreatmentplanninginthepelvicregion AT mareknovak applicationofanartificialintelligencesegmentationfordeephyperthermiatreatmentplanninginthepelvicregion |