Design of HIFU Treatment Plans using Evolutionary Strategy
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F18%3APU130717" target="_blank" >RIV/00216305:26230/18:PU130717 - isvavai.cz</a>
Result on the web
<a href="https://dl.acm.org/citation.cfm?doid=3205651.3208268" target="_blank" >https://dl.acm.org/citation.cfm?doid=3205651.3208268</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/3205651.3208268" target="_blank" >10.1145/3205651.3208268</a>
Alternative languages
Result language
angličtina
Original language name
Design of HIFU Treatment Plans using 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. 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 %.
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
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Continuities
R - Projekt Ramcoveho programu EK
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
GECCO 2018 Companion - Proceedings of the 2018 Genetic and Evolutionary Computation Conference Companion
ISBN
978-1-4503-5764-7
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
1568-1575
Publisher name
Association for Computing Machinery
Place of publication
Kyoto
Event location
Kyoto
Event date
Jul 15, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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