Offset-Free Model Predictive Temperature Control for Ultrasound-Based Hyperthermia Cancer Treatments

Daniel A. Deenen (Corresponding author), Bert Maljaars, Lukas C. Sebeke, Bram de Jager, Edwin Heijman, Holger Grull, W.P.M.H. Heemels

Research output: Contribution to journalArticleAcademicpeer-review

2 Citations (Scopus)

Abstract

Heating cancer cells over an extended period of time, referred to as hyperthermia, has been proven to enhance the effects of chemotherapy and radiotherapy without inducing additional toxicity or undesirable side effects, and is therefore considered a highly valuable adjuvant therapy in cancer treatment. In this work, a model predictive control (MPC) setup is developed for improving performance and robustness in regulating the temperature for magnetic-resonance-guided high-intensity focused ultrasound (MR-HIFU) hyperthermia treatments. The proposed control design incorporates a disturbance estimator as encountered in offset-free MPC that is able to remove the steady-state temperature error caused by plant-model mismatch. For the considered healthcare application, such modeling errors are inevitable in practice due to the high variability of tissue properties in patients, some of which even exhibit time- and temperature-dependent behavior due to the body's thermoregulatory response, combined with the fact that extensive model identification is undesirable in the clinic. The controller's performance is demonstrated by means of in vivo experiments on a porcine thigh muscle using a clinical MR-HIFU treatment setup.

Original languageEnglish
Pages (from-to)2351-2365
Number of pages15
JournalIEEE Transactions on Control Systems Technology
Volume29
Issue number6
Early online date2 Dec 2020
DOIs
Publication statusPublished - 1 Nov 2021

Bibliographical note

Publisher Copyright:
IEEE

Keywords

  • High-intensity focused ultrasound
  • hyperthermia
  • model predictive control (MPC)
  • offset-free control
  • oncology.

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