Publication Details

Design of HIFU Treatment Plans using Evolutionary Strategy

JAROŠ, M.; TREEBY, B.; JAROŠ, J. Design of HIFU Treatment Plans using Evolutionary Strategy. In GECCO 2018 Companion - Proceedings of the 2018 Genetic and Evolutionary Computation Conference Companion. Kyoto: Association for Computing Machinery, 2018. p. 1568-1575. ISBN: 978-1-4503-5764-7.
Czech title
Využití evoluční strategie při návrhu HIFU operačních plánů
Type
conference paper
Language
English
Authors
URL
Keywords

Evolutionary strategy, HIFU, treatment planning, k-Wave.

Abstract

High Intensity Focused Ultrasound (HIFU) is an emerging technique for non-invasive cancer treatment where malignant tissue is destroyed by thermal ablation. Since one ablation only allows a small region of tissue to be destroyed, a series of ablations has to be conducted to treat larger volumes. To maximize the treatment outcome and prevent injuries such as skin burns, complex preoperative treatment planning is carried out to determine the focal position and sonication time for each ablation. Here, we present an evolutionary strategy to design HIFU treatment plans using a map of patient specific material properties and a realistic thermal model. The proposed strategy allows high-quality treatment plans to be designed, with the average volume of mistreated and under-treated tissue not exceeding 0.1 %.

Published
2018
Pages
1568–1575
Proceedings
GECCO 2018 Companion - Proceedings of the 2018 Genetic and Evolutionary Computation Conference Companion
ISBN
978-1-4503-5764-7
Publisher
Association for Computing Machinery
Place
Kyoto
DOI
EID Scopus
BibTeX
@inproceedings{BUT155025,
  author="Marta {Jaroš} and Bradley {Treeby} and Jiří {Jaroš}",
  title="Design of HIFU Treatment Plans using Evolutionary Strategy",
  booktitle="GECCO 2018 Companion - Proceedings of the 2018 Genetic and Evolutionary Computation Conference Companion",
  year="2018",
  pages="1568--1575",
  publisher="Association for Computing Machinery",
  address="Kyoto",
  doi="10.1145/3205651.3208268",
  isbn="978-1-4503-5764-7",
  url="https://dl.acm.org/citation.cfm?doid=3205651.3208268"
}
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