Visualization of thermal washout due to spatiotemporally heterogenous perfusion in the application of a model-based control algorithm for MR-HIFU mediated hyperthermia
| Autor: | Pia Rademann, Edwin Heijman, D.A. Deenen, Patrick Schmidt, Holger Grüll, L. Sebeke, Bram de Jager, Alexandra C. Maul, Sin Yuin Yeo, Juan Daniel Castillo Gómez, Wpmh Maurice Heemels |
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| Přispěvatelé: | Computational Biology, Group Heemels, Control Systems Technology, Group Steinbuch, EAISI Mobility, EAISI Foundational |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Hyperthermia
Cancer Research Materials science Physiology Swine medicine.medical_treatment Heat sink computer.software_genre SDG 3 – Goede gezondheid en welzijn SDG 3 - Good Health and Well-being Control theory Voxel Noninvasive thermometry Physiology (medical) Medical technology medicine Animals R855-855.5 Control systems engineering/treatment optimization Induced Modeling Washout Hyperthermia Induced medicine.disease Magnetic Resonance Imaging High-intensity focused ultrasound High intensity focused ultrasound Visualization Perfusion Physiological effects of hyperthermia High-Intensity Focused Ultrasound Ablation Algorithm computer Algorithms |
| Zdroj: | International Journal of Hyperthermia, Vol 38, Iss 1, Pp 1174-1187 (2021) International Journal of Hyperthermia, 38(1), 1174-1187. Informa Healthcare |
| ISSN: | 0265-6736 |
| DOI: | 10.1080/02656736.2021.1933616 |
| Popis: | Purpose: This article will report results from the in-vivo application of a previously published model-predictive control algorithm for MR-HIFU hyperthermia. The purpose of the investigation was to test the controller’s in-vivo performance and behavior in the presence of heterogeneous perfusion. Materials and methods: Hyperthermia at 42°C was induced and maintained for up to 30 min in a circular section of a thermometry slice in the biceps femoris of German landrace pigs (n=5) using a commercial MR-HIFU system and a recently developed MPC algorithm. The heating power allocation was correlated with heat sink maps and contrast-enhanced MRI images. The temporal change in perfusion was estimated based on the power required to maintain hyperthermia. Results: The controller performed well throughout the treatments with an absolute average tracking error of 0.27 ± 0.15 °C and an average difference of 1.25 ± 0.22 °C between (Formula presented.) and (Formula presented.) The MPC algorithm allocates additional heating power to sub-volumes with elevated heat sink effects, which are colocalized with blood vessels visible on contrast-enhanced MRI. The perfusion appeared to have increased by at least a factor of ∼1.86 on average. Conclusions: The MPC controller generates temperature distributions with a narrow spectrum of voxel temperatures inside the target ROI despite the presence of spatiotemporally heterogeneous perfusion due to the rapid thermometry feedback available with MR-HIFU and the flexible allocation of heating power. The visualization of spatiotemporally heterogeneous perfusion presents new research opportunities for the investigation of stimulated perfusion in hypoxic tumor regions. |
| Databáze: | OpenAIRE |
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