Detail publikace

Design of HIFU Treatment Plans using Evolutionary Strategy

JAROŠ, M. TREEBY, B. JAROŠ, J.

Originální název

Design of HIFU Treatment Plans using Evolutionary Strategy

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

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 %.

Klíčová slova

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

Autoři

JAROŠ, M.; TREEBY, B.; JAROŠ, J.

Vydáno

6. 7. 2018

Nakladatel

Association for Computing Machinery

Místo

Kyoto

ISBN

978-1-4503-5764-7

Kniha

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

Strany od

1568

Strany do

1575

Strany počet

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"
}

Dokumenty

GECCO_2018.pdf