Přístupnostní navigace
E-application
Search Search Close
Publication detail
JAROŠ, M. TREEBY, B. JAROŠ, J.
Original Title
Design of HIFU Treatment Plans using Evolutionary Strategy
Type
conference paper
Language
English
Original Abstract
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 %.
Keywords
Evolutionary strategy, HIFU, treatment planning, k-Wave.
Authors
JAROŠ, M.; TREEBY, B.; JAROŠ, J.
Released
6. 7. 2018
Publisher
Association for Computing Machinery
Location
Kyoto
ISBN
978-1-4503-5764-7
Book
GECCO 2018 Companion - Proceedings of the 2018 Genetic and Evolutionary Computation Conference Companion
Pages from
1568
Pages to
1575
Pages count
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" }