Publication detail

Distributed Evolutionary Design of HIFU Treatment Plans

CHLEBÍK, J. JAROŠ, J.

Original Title

Distributed Evolutionary Design of HIFU Treatment Plans

Type

presentation, poster

Language

English

Original Abstract

High-Intensity Focused Ultrasound (HIFU) is a modern technique for non-invasive, non-ionising cancer treatment where malignant tissue is destroyed by thermal ablation. To perform such treatment, a plan consisting of a series of short sonications must be created. In recent years, a realistic thermal model using patient-specific materials was introduced. Thanks to this, an evolutionary strategy was employed to design such HIFU treatment plans. However, despite the improvements, the execution time of such a model was too prohibitive to allow routine use. In this paper, we present a new round of optimizations aimed at improving the performance of the thermal model and the evolutionary strategy. The experiments carried out in other works using an evolutionary strategy based on the island model are repeated with up to 4 times decrease in total computation time. This enables new experiments using a much higher number of sonications are introduced and evaluated. Lastly, a new real-life inspired benchmark is presented and the experiments repeated.

Keywords

Evolutionary strategy, Island model, Farmer-Workers model, HIFU, Treatment planning, k-Wave

Authors

CHLEBÍK, J.; JAROŠ, J.

Released

7. 7. 2021

Publisher

Association for Computing Machinery

Location

Lille

ISBN

978-1-4503-8351-6

Book

GECCO 2021 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion

Pages from

297

Pages to

298

Pages count

2

URL

https://dl.acm.org/doi/10.1145/3449726.3459550

BibTex

@misc{BUT175775,
  author="Jakub {Chlebík} and Jiří {Jaroš}",
  title="Distributed Evolutionary Design of HIFU Treatment Plans",
  booktitle="GECCO 2021 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion",
  year="2021",
  pages="297--298",
  publisher="Association for Computing Machinery",
  address="Lille",
  doi="10.1145/3449726.3459550",
  isbn="978-1-4503-8351-6",
  url="https://dl.acm.org/doi/10.1145/3449726.3459550",
  note="presentation, poster"
}