Publication Details

Optimization of Evolutionary Strategy using Island Model to Design HIFU Treatment Plans

KUKLIŠ Filip. Optimization of Evolutionary Strategy using Island Model to Design HIFU Treatment Plans. In: Sborník semináře PAD 2019. Doksy: Academic and Medical Conference Agency, 2019, pp. 5-8. ISBN 978-80-88214-20-5.
Czech title
Optimalizace evoluční strategie pomocí ostrovního modelu pro plánování HIFU operačních plánů
Type
conference paper
Language
english
Authors
Kukliš Filip, Ing. (DCSY FIT BUT)
Keywords

treatment planning, HIFU, evolutionary strategy, island model

Abstract

High Intensity Focused Ultrasound (HIFU) is an emerging technique for non-invasive cancer treatment where malignant tissue is destroyed by thermal ablation. The treatment plan consists of a series of HIFU sonications since one sonication destroys only a small volume of tissue. The high-quality treatment plans with a precise HIFU positioning need to be generated to destroy all malignant tissue and prevent damage to surrounding healthy tissue. Here, we present an optimized evolutionary strategy that uses an island model to design HIFU treatment plans using patient-specific material properties and a realistic thermal model. Although the original strategy was able to create high-quality treatment plans, the execution time too high. The proposed version allows finding the solution more than 6-times faster, moreover, with a higher success rate.

Published
2019
Pages
5-8
Proceedings
Sborník semináře PAD 2019
Conference
Počítačové architektury a diagnostika 2019, Doksy, CZ
ISBN
978-80-88214-20-5
Publisher
Academic and Medical Conference Agency
Place
Doksy, CZ
BibTeX
@INPROCEEDINGS{FITPUB12034,
   author = "Filip Kukli\v{s}",
   title = "Optimization of Evolutionary Strategy using Island Model to Design HIFU Treatment Plans",
   pages = "5--8",
   booktitle = "Sborn\'{i}k semin\'{a}\v{r}e PAD 2019",
   year = 2019,
   location = "Doksy, CZ",
   publisher = "Academic and Medical Conference Agency",
   ISBN = "978-80-88214-20-5",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/12034"
}
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