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CHLEBÍK, J. JAROŠ, J.
Original Title
Distributed Evolutionary Design of High Intensity Focused Ultrasound Treatment Plans
Type
conference paper
Language
English
Original Abstract
High-Intensity Focused Ultrasound (HIFU) is a modern and still evolving technique used to treat a variety of solid malignant cells in a well-defined volume including breast, liver, pancreas, prostate or uterine broids or other general soft-tissue sarcomas. HIFU treatments allow a noninvasive and non-ionising approach when compared to more conventional cancer treatments, such as radio and chemo-therapy or open surgery, which can lead to a multitude of complications after the treatment. In recent years, a realistic thermal model accounting for patient-specific materials to design HIFU treatment plans was introduced, along with an evolutionary strategy to optimize them. However, the execution times of this model is too prohibitive to allow for a routine use. This paper presents a comparison of two distinct distributed evolutionary models employing a further optimized fitness model. The experiments show up to 6 times decrease in the evolution time. These improvements allowed to investigate a new real-life based benchmark and use-case.
Keywords
Distributed Evolution, Island population mode, Farmer-worker model, High-Intensity Focused Ultrasound
Authors
CHLEBÍK, J.; JAROŠ, J.
Released
8. 10. 2021
Publisher
IEEE Circuits and Systems Society
Location
Melbourne
ISBN
978-1-6654-4207-7
Book
IEEE International Conference on Systems, Man and Cybernetics
Pages from
2203
Pages to
2208
Pages count
6
URL
https://www.fit.vut.cz/research/publication/12560/
BibTex
@inproceedings{BUT175813, author="Jakub {Chlebík} and Jiří {Jaroš}", title="Distributed Evolutionary Design of High Intensity Focused Ultrasound Treatment Plans", booktitle="IEEE International Conference on Systems, Man and Cybernetics", year="2021", pages="2203--2208", publisher="IEEE Circuits and Systems Society", address="Melbourne", doi="10.1109/SMC52423.2021.9658580", isbn="978-1-6654-4207-7", url="https://www.fit.vut.cz/research/publication/12560/" }