Offset-Free Model Predictive Temperature Control for Ultrasound-Based Hyperthermia Cancer Treatments
| Autor: | D.A. Deenen, Edwin Heijman, Bram de Jager, Bert Maljaars, L. Sebeke, Holger Grüll, W. P. Maurice H. Heemels |
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| Přispěvatelé: | Group Heemels, Control Systems Technology, Computational Biology, Group Steinbuch, Applied Physics and Science Education, EAISI Mobility, EAISI Foundational |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Hyperthermia
Offset (computer science) Temperature control model predictive control (MPC) business.industry medicine.medical_treatment Ultrasound System identification medicine.disease hyperthermia SDG 3 – Goede gezondheid en welzijn Radiation therapy Model predictive control SDG 3 - Good Health and Well-being Control and Systems Engineering High-intensity focused ultrasound Adjuvant therapy Medicine offset-free control Electrical and Electronic Engineering business oncology Biomedical engineering |
| Zdroj: | IEEE Transactions on Control Systems Technology, 29(6), 2351-2365. Institute of Electrical and Electronics Engineers |
| ISSN: | 1558-0865 1063-6536 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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