Detail publikace

Accelerated Design of HIFU Treatment Plans Using Island-Based Evolutionary Strategy

KUKLIŠ, F. JAROŠ, M. JAROŠ, J.

Originální název

Accelerated Design of HIFU Treatment Plans Using Island-Based 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. Such a treatment consists of a series of short sonications destroying small volumes of tissue. High-quality treatment plans allow to precisely target malignant tissue and protect surrounding healthy tissue. Recently, we developed an evolutionary strategy to design such HIFU treatment plans using patient-specific material properties and a realistic thermal model. Unfortunately, the execution time was prohibitive for routine use. Here, we present an optimized evolutionary strategy based on island model parallelization and a revised fitness function implementation. The proposed improvements allow to develop a good treatment plan 4 times faster and with 5% higher success rate.

Klíčová slova

Evolutionary strategy, Island model, HIFU, Treatment planning, k-Wave toolbox 

Autoři

KUKLIŠ, F.; JAROŠ, M.; JAROŠ, J.

Vydáno

9. 4. 2020

Nakladatel

Springer International Publishing

Místo

Cham

ISBN

978-3-030-43721-3

Kniha

Applications of Evolutionary Computation

Edice

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Strany od

463

Strany do

478

Strany počet

16

URL

https://link.springer.com/chapter/10.1007/978-3-030-43722-0_30

BibTex

@inproceedings{BUT162282,
  author="Filip {Kukliš} and Marta {Jaroš} and Jiří {Jaroš}",
  title="Accelerated Design of HIFU Treatment Plans Using Island-Based Evolutionary Strategy",
  booktitle="Applications of Evolutionary Computation",
  year="2020",
  series="Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
  volume="12104",
  pages="463--478",
  publisher="Springer International Publishing",
  address="Cham",
  doi="10.1007/978-3-030-43722-0\{_}30",
  isbn="978-3-030-43721-3",
  url="https://link.springer.com/chapter/10.1007/978-3-030-43722-0_30"
}