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Robust Optimal Power Distribution for Hyperthermia Cancer Treatment
KTH, School of Electrical Engineering and Computer Science (EECS), Information Science and Engineering.
Uppsala University.
KTH, School of Engineering Sciences (SCI), Mathematics (Dept.), Optimization and Systems Theory.ORCID iD: 0000-0001-5158-9255
KTH, School of Electrical Engineering and Computer Science (EECS), Information Science and Engineering.ORCID iD: 0000-0002-3599-5584
2019 (English)In: Medical Internet of Things (m-IoT) / [ed] Hamed Farhadi, IntechOpen , 2019, p. 55-70Chapter in book (Other academic)
Abstract [en]

We consider an optimization problem for spatial power distribution generated by an array of transmitting elements. Using ultrasound hyperthermia cancer treatment as a motivating example, the signal design problem consists of optimizing the power distribution across the tumor and healthy tissue regions, respectively. The models used in the optimization problem are, however, invariably subject to errors. To combat such unknown model errors, we formulate a robust signal design framework that can take the uncertainty into account using a worst-case approach. This leads to a semi-infinite programming (SIP) robust design problem, which we reformulate as a tractable convex problem that potentially has a wider range of applications.

Place, publisher, year, edition, pages
IntechOpen , 2019. p. 55-70
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:kth:diva-259526DOI: 10.5772/intechopen.73281ISBN: 978-1-78985-092-5 (electronic)ISBN: 978-1-78985-091-8 (print)OAI: oai:DiVA.org:kth-259526DiVA, id: diva2:1351858
Note

QC 20191015

Available from: 2019-09-17 Created: 2019-09-17 Last updated: 2019-10-15Bibliographically approved

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Karlsson, JohanBengtsson, Mats

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