Publication Details

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

KUKLIŠ Filip, JAROŠ Marta and JAROŠ Jiří. Accelerated Design of HIFU Treatment Plans Using Island-Based Evolutionary Strategy. In: Applications of Evolutionary Computation. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12104. Cham: Springer International Publishing, 2020, pp. 463-478. ISBN 978-3-030-43721-3. Available from: https://link.springer.com/chapter/10.1007/978-3-030-43722-0_30
Czech title
Akcelerace plánování HIFU ultrazvukových zákroků pomocí ostrovní evoluční strategie
Type
conference paper
Language
english
Authors
Kukliš Filip, Ing. (DCSY FIT BUT)
Jaroš Marta, Ing., PhD. (DCSY FIT BUT)
Jaroš Jiří, doc. Ing., Ph.D. (DCSY FIT BUT)
URL
Keywords

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

Abstract

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.

Published
2020
Pages
463-478
Proceedings
Applications of Evolutionary Computation
Series
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume
12104
Conference
Applications of Evolutionary and Bio-inspired Computation, 23rd European Conference, Seville, ES
ISBN
978-3-030-43721-3
Publisher
Springer International Publishing
Place
Cham, CH
DOI
10.1007/978-3-030-43722-0_30
UT WoS
000896394100030
EID Scopus
2-s2.0-85084758190
BibTeX 
@INPROCEEDINGS{FITPUB12043,
   author = "Filip Kukli\v{s} and Marta Jaro\v{s} and Ji\v{r}\'{i} Jaro\v{s}",
   title = "Accelerated Design of HIFU Treatment Plans Using Island-Based Evolutionary Strategy",
   pages = "463--478",
   booktitle = "Applications of Evolutionary Computation",
   series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
   volume = 12104,
   year = 2020,
   location = "Cham, CH",
   publisher = "Springer International Publishing",
   ISBN = "978-3-030-43721-3",
   doi = "10.1007/978-3-030-43722-0\_30",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/12043"
}
Back to top