Publication detail

Design of HIFU Treatment Plans using Evolutionary Strategy

JAROŠ, M. TREEBY, B. JAROŠ, J.

Original Title

Design of HIFU Treatment Plans using Evolutionary Strategy

Type

conference paper

Language

English

Original 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 %.

Keywords

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

Authors

JAROŠ, M.; TREEBY, B.; JAROŠ, J.

Released

6. 7. 2018

Publisher

Association for Computing Machinery

Location

Kyoto

ISBN

978-1-4503-5764-7

Book

GECCO 2018 Companion - Proceedings of the 2018 Genetic and Evolutionary Computation Conference Companion

Pages from

1568

Pages to

1575

Pages count

8

URL

https://dl.acm.org/citation.cfm?doid=3205651.3208268

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"
}