Accelerated Design of HIFU Treatment Plans Using Island-Based Evolutionary Strategy
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F20%3APU135501" target="_blank" >RIV/00216305:26230/20:PU135501 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-030-43722-0_30" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-030-43722-0_30</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-43722-0_30" target="_blank" >10.1007/978-3-030-43722-0_30</a>
Alternative languages
Result language
angličtina
Original language name
Accelerated Design of HIFU Treatment Plans Using Island-Based Evolutionary Strategy
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/LQ1602" target="_blank" >LQ1602: IT4Innovations excellence in science</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Applications of Evolutionary Computation
ISBN
978-3-030-43721-3
ISSN
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e-ISSN
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Number of pages
16
Pages from-to
463-478
Publisher name
Springer International Publishing
Place of publication
Cham
Event location
Seville
Event date
Apr 15, 2020
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
000896394100030